Sap hana l1 -reinventing real-time businesses through innovation, value & simplicity (high quality)

Editor's Notes

• #2: This presentation provides an overview on the new business and IT value that you can derive with SAP HANA. The audience for this presentation is IT management. This is a keynote-style presentation and meant to be used at conferences or large audience events.For small audience, please use L1- simple presentation.Please use L0 presentation for non-IT audience.
• #5: Emerging technology frontier is transforming our lives in every aspect. Digitization & hyper-connectivity is entering a new phase after transforming books, music, retail into healthcare, manufacturing, automotive. Whether it is the products we purchase or how we purchase, retailing and manufacturing is getting digitized and connected. Retailing is moving from transactions to 1-1 engaging relationships while manufacturing is moving from mass production to 3-Dimensional printing of custom products on-demand. And it is just not products and services but also we ourselves are getting digitized. Transforming healthcare from generic treatment based on disease to personalized medicine. Whether it is social networks or internet of things giving rise to big data, everything is becoming faster and smarter but becoming increasingly complex.Technology breakthroughs are already here to serve companies willing to re-think their business and re-invent themselves. In the new digital economy, leaders are looking to re-define their industry and capture bigger market share
• #6: Over the years unplanned growth in transactional databases and associated systems have complicated data infrastructure. As variety of data sources with growing volume are increasing, it is causing severe latency issues. Data once generated from transactions gets replicated to several locations for reporting. It gets processed for various end systems for analytics. This proliferations of data through various stages and processes has significantly increased latency resulting in slow response. As data from different sources is simultaneously pushed to the users, it results in usability issues.The overall architecture is extremely complex to manage given limited resources. This not only increases the risk of data management, such as security, privacy & availability. More data get dispersed, higher the complexity and risk.
• #7: With existing technologies, optimizing across all five dimensions in the spider diagram is not possible. Trade offs need to be made: Do you want a report that provides broad and deep data analysis at a bearable speed? That is normally only doable after a lot of data manipulation like aggregation and normally has run times in the minutes, hours or days.Alternatively, you could decide for a report design that is simple and fast, but it will normally not provide for any deep and broad insights.Lastly, in both scenarios, real time updates are not possible per design; in a data warehouse environment they occur overnight via nightly batch jobs.In summary, this shows todays typical tradeoffs between Broad and Deep analysis versus Speedy and Simple reports.
• #9: 3 copies of dataIn different data modelsInherent data latencyAccelerate through cacheIn recent years, computer systems have increased number of processing cores with large integrated caches. Main memory space has become practically unlimited with the ability to hold all the business data of enterprises of every size. Falling prices have moved processing from Disk/SSD to In-Memory.Memory access is 1M – 10M times faster than disk. Disk-centric computing was also one of the major factors that forced separation of transactional and analytical workloads. Moving data to various locations was necessary for reporting to circumvent network issues. Pre-processing of data then became the necessity to optimize linear data transfers. We do not have to live with those limitations any more. Feasibility is given.Through advances in data sciences combined with relevant hardware trends, SAP is leading the real-time computing revolution… leveraging the power of in-memory computing to bringing OLAP and OLTP back together in one database.This transforms how we construct business applications and our expectations in consuming them. Adopting this new technology will sharpen your competitive edge by dramatically accelerating not only data querying speed but also business processing speed.
• #11: SAP HANA permits OLTP and OLAP workloads on the same platform by storing data in high-speed memory, organizing it in columns, and partitioning and distributing it among multiple servers. This delivers faster queries that aggregate data more efficiently yet avoid costly full-table scans and single column indexes.The SAP HANA Studio delivers an all-in-one support environment for system monitoring, backup and recovery, and user provisioning.
• #13: Real-time applicationsConsumer Engagement - The consumerization of IT is transforming customer interaction to real-time personalized engaging experiences. Deliver innovative new applications with precision targeting and real-time consumer insights.Sense and Respond - Managing business in connected world requires real-time adjustment to millions of live signals from the devices and machines. Enable preventive and efficient business practices by detecting, analyzing and adjusting to exploding machine data from Internet of things. - Planning and OptimizationRapidly changing business environment requires real-time planning and optimization. Enable real-time prescriptive analytics by reducing layers of processing and accelerating complex computations required for scheduling and simulations.Real-time analyticsOperational Analytics - With transactional and analytical data stored together, SAP HANA provides on-the-fly analysis for all combinations of data. Make immediate decisions using real-time operational analytics whether the data comes from your SAP® applications, third-party solutions, or custom applications.Big Data Warehousing - SAP HANA unleashes the potential of Big Data with its ability to handle large volumes and a variety of structured and unstructured data in real-time. Build a data warehouse integrated with Hadoop or easily migrate your existing SAP NetWeaver Business Warehouse (BW) to SAP HANA and make decisions within the window of opportunity.Predictive, Spatial and Text Analytics - SAP HANA provides a powerful suite of predictive, spatial, and text analytics libraries that can run across multiple data sources. Visualize new opportunities and gain deep insights with unified analysis of all of data types.Real-time platformDatabase & Data Processing Services - SAP HANA is a fully ACID compliant, In-memory, columnar, massively parallel processing platform that provides common database for online transactional processing (OLTP) and online analytical processing (OLAP), eliminating redundancy and latency. It also unifies end-to-end data processing with search, text, geospatial and predictive analytics on top of the in-memory columnar foundation, further extending the benefit of redundancy and latency elimination to all data processing workloads.Application Platform Services -The application platform services contained within SAP HANA, simplifies the development of real-time applications with scalable web server, business rules and user interface library. You can renew existing applications with simple migration or build new smart applications using unified modeling and development environment.Integration and Data Virtualization Services -Integration and data virtualization services provide high-volume data replication, event stream processing and smart data access from variety of sources. Enable real-time applications with high speed data provisioning for faster response and interactivity.Mission-critical Deployment Services ( Appliance, Cloud) - SAP HANA is deployable as managed services in the cloud or as an optimized on-premise appliance with tailored data center integration. Quickly and cost-effectively leverage the proven, superior performance of real-time business platform with SAP HANA One, SAP HANA Cloud, and SAP HANA Enterprise Cloud.
• #14: Consumer Engagement - The consumerization of IT is transforming customer interaction to real-time personalized engaging experiences. Deliver innovative new applications with precision targeting and real-time consumer insights.Advances in mobile, social, and cloud technologies have created unprecedented opportunities for businesses to engage consumers in new and innovative ways. But at the same time, they’ve contributed to a dramatic rise in consumer expectations. Consumers today expect highly personalized experiences with a strong social dimension, instant gratification, and a seamless experience across channels – from Web and mobile to in-store and kiosks.To address the growing needs of our business customers, SAP is delivering a “consumer engagement” technology platform that enables businesses to: Generate real-time consumer insights: Create a complete picture of each consumer in real-time by bringing together big data from mobile, Web, social media, sensors, and other external sources with data in enterprise systems (e.g., point-of-sale and CRM systems). Leverage cutting-edge analytics in order to determine each consumer’s intentions, emotional state, and interactions with the business across different channels over time, as well as predict their future behavior and lifetime value to the business. Deliver personalized, engaging experiences: Engage consumers more deeply by providing rich, immersive content, creating opportunities for social connection and discovery, and personalizing experiences, so they always receive the most relevant content and offers at just the right time. Empower consumers to take action – completing transactions, accessing services, and providing feedback – anytime, anywhere, on their choice of device.Create a more responsive business: Translate consumer insights into intelligence companies can use to respond rapidly to market changes: anticipating and shaping future demand, maximizing marketing campaign performance in real-time, and ensuring product availability and optimizing product assortment. Use consumer insights to refine existing products and services, uncover new consumer needs and explore new monetization opportunities. These capabilities harness the combined power of in-memory technology (SAP HANA), cloud, mobile, and state-of-the-art analytics to enable businesses to engage more deeply with consumers, helping them forge stronger customer loyalty, increase revenue, and drive greater levels of business performance.SAP’s “consumer engagement platform” will be used by internal SAP product groups as well as external partners (e.g., ISVs, startups) to build new applications that address the above capabilities.Example scenarios include solutions that:Enable fashion brands to provide a seamless and highly personalized shopping experience for consumers - from social, mobile engagement to in-store shopping.Empower drivers with in-car capabilities such as locating and reserving the nearest parking spaces, completing transactions at fueling stations, and receiving in-car recommendations.Allow sports teams to deliver an engaging fan experience on game day – immersive content, personalized offers and rewards, mobile payment and ticketing.
• #15: Sense & RespondSense and Respond - Managing business in connected world requires real-time adjustment to millions of live signals from the devices and machines. Enable preventive and efficient business practices by detecting, analyzing and adjusting to exploding machine data from Today’s enterprise world is characterized by more and more data from various devices, processes, and services. Things having identities operating in smart spaces using intelligent interfaces to connect and communicate within social, environmental, and user contexts Everything is connected to everyone. Individuals are becoming networks. Machines are communicating with each other. Managing data for this connected world requires the ability to sense and respond in real time. For example, SAP HANA powers high-performance sense-and-response applications like SAP Smart Meter Analytics software and the SAP Supplier InfoNet solution.Any of these individual data sources is a kind of sensor generating data in constant flow. Aggregating all these sensor data can help to systematically measure , detect, or analyze data trends, which can be used to derive new information. There will be better and more energy efficient logistic, probably changing completely the retail industry; there will be intelligent buildings, robots, cars, and cities facilitating and assisting our daily lives and thereby increasing our quality of life; These new generations of smart applications built using machine learning are powerful in engaging the future self-service customer while providing a real-time view to businesses. These smart applications will not only empower front-line employees but manage smart cities of the future. Increasing quality of life through intelligent buildings, robots, cars and cities.
• #16: Internet of things. - Planning and OptimizationRapidly changing business environment requires real-time planning and optimization. Enable real-time prescriptive analytics by reducing layers of processing and accelerating complex computations required for scheduling and simulations.Enable iterative period end closing with continuous posting into accounts Cash forecasting managementOptimize procurement, manufacturing, transportation without limits
• #18: Operational ad-hoc analytics and monitoringOperational Analytics - With transactional and analytical data stored together, SAP HANA provides on-the-fly analysis for all combinations of data. Make immediate decisions using real-time operational analytics whether the data comes from your SAP® applications, third-party solutions, or custom applications.With the power of in-memory computing, SAP HANA provides visibility into in-the-moment business situations. Whether that situation is a self-service customer researching a product or a service representative trying to make decisions while helping a customer or partner, SAP HANA can provide on-the-fly analysis on any combination of data. Whether the data comes from your SAP® ERP application, third-party solution, or custom application, the platform equips people across your enterprise to make decisions. With transactional and analytical data stored together, you can realize immediate benefits by using offerings such as SAP HANA Live for SAP Business Suite on SAP HANA. The same core architecture can also be used for mission-critical non-SAP applications.
• #19: Big Data Warehousing - SAP HANA unleashes the potential of Big Data with its ability to handle large volumes and a variety of structured and unstructured data in real-time. Build a data warehouse integrated with Hadoop or easily migrate your existing SAP NetWeaver Business Warehouse (BW) to SAP HANA and make decisions within the window of opportunity.The New Big Data WarehouseSAP HANA unleashes the potential of Big Data with its ability to handle large volumes and variety of structured and unstructured data from a variety of sources. It provides Hadoop, HIVE and R-integration along with predictive and spatial analytics, text mining, and a full suite of processing engines, to extract value from Big Data whatever and wherever it is. SAP HANA now even makes it possible to run human genome analysis in real time.  By running your deployed SAP NetWeaver® Business Warehouse (SAP NetWeaver BW) application on SAP HANA, you can uncover significant new value. Complex reports and analysis that took hours or days can be available in minutes – or even seconds. What’s more, the hours and days spent by IT in complex data modeling and optimization processes are no longer necessary when running SAP NetWeaver BW on SAP HANA, giving business users the option of true self-service business intelligence (BI)SAP HANA brings together the power of In-memory, HADOOP, Predictive, Text Mining and Spatial Analytics, and a full suite of powerful modeling technologies, to extract value from Big Data providing Real-time, Real World, Real ResultsBuild an entirely new sets of applicationsRedefine business modelsAssist companies enter new industriesSAP Visual Intelligence for self-service insight discoverySAP Predictive Analysis for data mining and predictive modelingSAP BusinessObjects BI for self-service BI, reporting, dashboardsSAP Analytic Applications for rapid deployment of industry or line-of-business solutionsSAP HANA and Sybase IQ for real-time data processing, analytic sandboxesSybase Event Stream Processor for real-time event data processingSAP NetWeaver BW on HANA for real-time information views for reporting and BISAP HANA for real-time data storeSAP HANA smart data access to create virtualize tables, push down SQL queries and minimize data movementSybase IQ for near-time data store and enterprise data warehouse DBMSHadoop for long-term, extended archive of data with unknown valueSAP Data Services for collecting data from disparate sources including HadoopSybase ESP for collecting stream data Sybase Replication Server for real-time high value data replication Sybase PowerDesignerfor modeling and architecture for all environments
• #20: Supercharged BW with Dramatically Improved PerformanceBusiness: Improved decision making, faster reporting, and the most up-to-date informationIT: Faster data loading and decreased data latencySimplified Administration and Streamlined LandscapeBusiness: Reporting requests executed faster and minimal IT involvement IT: Reduced administration and lower TCOUnlock The Power of Your Data Across The EnterpriseBusiness: Self-service access to all information at the most granular levelIT: Simplified IT workload with easy access to operational data martsPreserve Your BW Investment without DisruptionBusiness: Minimal training impact to business users and administratorsIT: Migration without disruption of your BW application
• #21: Predictive, Spatial and Text Analytics - SAP HANA provides a powerful suite of predictive, spatial, and text analytics libraries that can run across multiple data sources. Visualize new opportunities and gain deep insights with unified analysis of all of data types.Predictive, Spatial & Text AnalyticsSAP HANA provides a powerful suite of predictive analytics features. By taking advantage of predictive, text analytics, spatial processing, and data virtualization on the same architecture, you can visualize opportunities and gain insight to make informed decisions. Whether calculating cash forecasts, sales forecast or predictive maintenance on equipment, SAP HANA provides full vision into future on business.Native full text searchExploit unstructured content in SAP HANALeverage one infrastructure for analytical and text search workloads in both OLAP and OLTP use casesReduced duplication, latency, and operational overheadGraphical modeling Easy to use search definitionBuilt into existing SAP HANA Modeling toolsUI toolkit Rapid development of search enabled applications through reusable UI building blocksSpatial Analytics - Enriching it with geographical context, Visualizing its shape & form; Presenting it in real-time…Employ in-database predictive algorithmsBring predictive insight to everyone in the business Embed within business applicationsExtend into BI and reportsInsight into events instantly delivered to dashboards, alerts, and mobile devicesText Search and Mining Native full text search; Graphical search modeling; UI toolkitIntuitively design and visualize complex predictive modelsBring predictive analytics to everyone in the business Real-time Spatial ProcessingAnalyze massive amounts of spatial data in seconds on a real-time in-memory platformNew Location DimensionCombine and analyze spatial information with business, operational, and other critical enterprise data in one platformUnified Modeling PlatformPerform analytics, text search, text analysis, predictive, and spatial analysis in one modelGain unvarnished insights and direct touch with your most vocal customers regarding:OpinionsProduct perceptionsBuying experienceService qualityRequestsTrendsCombine visibility into campaigns, promotions or service entries residing in Sales and CRM applications with unstructured text data
• #22: Real-time applicationsConsumer Engagement - The consumerization of IT is transforming customer interaction to real-time personalized engaging experiences. Deliver innovative new applications with precision targeting and real-time consumer insights.Sense and Respond - Managing business in connected world requires real-time adjustment to millions of live signals from the devices and machines. Enable preventive and efficient business practices by detecting, analyzing and adjusting to exploding machine data from Internet of things. - Planning and OptimizationRapidly changing business environment requires real-time planning and optimization. Enable real-time prescriptive analytics by reducing layers of processing and accelerating complex computations required for scheduling and simulations.Real-time analyticsOperational Analytics - With transactional and analytical data stored together, SAP HANA provides on-the-fly analysis for all combinations of data. Make immediate decisions using real-time operational analytics whether the data comes from your SAP® applications, third-party solutions, or custom applications.Big Data Warehousing - SAP HANA unleashes the potential of Big Data with its ability to handle large volumes and a variety of structured and unstructured data in real-time. Build a data warehouse integrated with Hadoop or easily migrate your existing SAP NetWeaver Business Warehouse (BW) to SAP HANA and make decisions within the window of opportunity.Predictive, Spatial and Text Analytics - SAP HANA provides a powerful suite of predictive, spatial, and text analytics libraries that can run across multiple data sources. Visualize new opportunities and gain deep insights with unified analysis of all of data types.Real-time platformDatabase & Data Processing Services - SAP HANA is a fully ACID compliant, In-memory, columnar, massively parallel processing platform that provides common database for online transactional processing (OLTP) and online analytical processing (OLAP), eliminating redundancy and latency. It also unifies end-to-end data processing with search, text, geospatial and predictive analytics on top of the in-memory columnar foundation, further extending the benefit of redundancy and latency elimination to all data processing workloads.Application Platform Services -The application platform services contained within SAP HANA, simplifies the development of real-time applications with scalable web server, business rules and user interface library. You can renew existing applications with simple migration or build new smart applications using unified modeling and development environment.Integration and Data Virtualization Services -Integration and data virtualization services provide high-volume data replication, event stream processing and smart data access from variety of sources. Enable real-time applications with high speed data provisioning for faster response and interactivity.Mission-critical Deployment Services ( Appliance, Cloud) - SAP HANA is deployable as managed services in the cloud or as an optimized on-premise appliance with tailored data center integration. Quickly and cost-effectively leverage the proven, superior performance of real-time business platform with SAP HANA One, SAP HANA Cloud, and SAP HANA Enterprise Cloud.
• #23: Database & Data Processing Services - SAP HANA is a fully ACID compliant, In-memory, columnar, massively parallel processing platform that provides common database for online transactional processing (OLTP) and online analytical processing (OLAP), eliminating redundancy and latency. It also unifies end-to-end data processing with search, text, geospatial and predictive analytics on top of the in-memory columnar foundation, further extending the benefit of redundancy and latency elimination to all data processing workloads.
• #24: Application Platform Services -The application platform services contained within SAP HANA, simplifies the development of real-time applications with scalable web server, business rules and user interface library. You can renew existing applications with simple migration or build new smart applications using unified modeling and development environment.Easily migrate your applications (e.g.: Java, PHP, .NET) in almost any language, PHP, Ruby, Java, C, ... the list goes on:Support for ANSI SQL, ODBC, JDBC, Odata/JSON, and certified 3rd party tools Support more standards: JSON and XMLA over HTTP so it is a truly multi-dimensional platformBuild new web applications with any open source HTML5 / JS libraries, server-side Java script.Support advanced text analytics: Analyze text in all columns of table and text inside binary files with advanced text analytic capabilities such as: automatically detecting 31 languages; fuzzy, linguistic, synonymous search, using SQL.Analyze streaming data from integrated ESP in combination with data in SAP HANA.Process geospatial dataAccelerate predictive analysis and scoring with in-database algorithms delivered out-of-the-box. Adapt the models frequently.Execute R commands as part of overall query plan by transferring intermediate DB tables directly to R as vector-oriented data structures.Predictive analytics across multiple data types and sources (e.g.: Unstructured Text, Geospatial, Hadoop)
• #25: Integration and Data Virtualization Services -Integration and data virtualization services provide high-volume data replication, event stream processing and smart data access from variety of sources. Enable real-time applications with high speed data provisioning for faster response and interactivity.Real-Time Replication: replicate real-time data from multiple sources into SAP HANA over wide-area network or within Hybrid On-Premise Cloud Deployments Batch Data Load: high-performance and highly-scalable engine for extremely fast loads of large data volumes into SAP HANA. Support native data and metadata connectivity to all major enterprise data sources, databases, files, text batch loading Provide rich transformations for data manipulations, data quality, trust and confidence. Support unstructured text data processing. Analyze and process streaming or machine data from integrated ESP in combination with data in SAP HANA. Synchronize Mobile/Machine data using available MobiLink capabilities for SAP HANA synchronization with SQL Anywhere Data virtualization leverages remote database’s unique processing capabilities by pushing processing to remote database. Remote data access like “local” data.Leverage remote database’s unique processing capabilities by pushing processing to remote database; Compensate missing functionality in remote database with SAP HANA capabilities.
• #26: High Availability: Campus cluster – spans across a data centerDisaster recovery: Metro cluster – spans across a city or metropolitan areaDisaster recovery: Geo cluster – spans between cities and across countriesBackup & recovery:Full data backup w/ support for pint-in-time recoveryLog backup and bare metal restoreHigh Availability (per data center)In case of hardware or system failure the standby node/system takes overDisaster Tolerance (across data center)- Failover to a HANA instance in another data center in case of a catastrophic incidentAutomatic and manual procedure possibleMonitoring and Administration: - Holistic management with E2E support by SAP solution manager for SAP HANA as an appliance3rd Party ToolingSupport for 3rd party backup tools via backup staging areaSupport for customer specific data center compliance tools
• #27: Mission-critical Deployment Services ( Appliance, Cloud) - SAP HANA is deployable as managed services in the cloud or as an optimized on-premise appliance with tailored data center integration. Quickly and cost-effectively leverage the proven, superior performance of real-time business platform with SAP HANA One, SAP HANA Cloud, and SAP HANA Enterprise Cloud.
• #31: ImplementationBatched based big data pre-processing to identify data of interestsLeverage R integration to HANA & PAL for data mining and to uncover patternsHANA provides in-memory predictive acceleration & correlated analysis---------------Product: Real-time Big data (R+Hadoop+HANA)Business ChallengesLonger wait time (days) for patient results for hospitals that conduct cancer detection from base on DNA sequence matching Delay in new drug discovery and higher associated costs due to lack of insights in patient dataTechnical ChallengeBig data  Lack of speed, accuracy and visibility into data analysis results in huge costs and longer turnaround time for drug discovery and the identification of disease factorsBenefitsFor hospitals: Real-time DNA sequence data analysis makes it faster and easier to identify the root cause. Patient care based on genome analysis results can actually happen in one doctor visit Vs. waiting for several days or multiple follow-up visitsFor Pharmaceutical companies: provide required drugs in time and help identify “driver mutation” for new drug targetCompetition408,000 faster than traditional disk-based systemMKIand SAP HANA could alter the course of cancer research in human history It currently takes 2-3 days for a person to find differences in genome data between cancer patients and healthy people. MKI anticipates the time reduction with HANA to be 20 minutes  216x fasterHANA is about 408,000 times faster than traditional disk-based system (60 million recs) while performing independent data analysisHANA is about 5-10 times faster than another competitor. (190milion recs)R+ Hadoop + SAP HANA  HANA provides us powerful real-time computation capability, and R offers us easy ways to model and analyze the data. Hadoop is the platform with distributed pre-data processing and storage capabilities. Combining all three, we can store, pre-process, compute, and analyze huge amount of data ----------------------------------One stop service including genomic data analysis of cancer patient to support personalized therapeutics for the patient.This is not about poor decision making – the healthcare providers are making the best recommendation possible without HANA. This is about streamlining the process of providing drug recommendation for cancer patient based on a completely changed process, which is only possible through HANA. 2-3 days to analyze data -> 20 minutes to analyze data -> making it possible for the first time that  patient care based on genome analysis results can actually happen in one doctor visit vs waiting for several days or multiple follow-up visits. Genomic DNA analysis in real-time will transform how we enable comprehensive patient care to fight against cancer. SAP HANA will be the mission-critical and reliable data platform to make real-time cancer analytics into a realityOn one hand, Hospital will collect the genome data from patients and the system will analyze the mutation information. On the other hand, Pharmaceutical will provide the specific drugs based on patient’s mutation profile. Or it will help the Pharma researchers and Oncologist to identify “driver mutation” for new drug target.
• #32: Quote: We recognized that being able to respond to the needs of our customers in real time would give us an incredible competitive advantage and improve the quality of the customer experience. In order to deliver that kind of experience, we needed an underlying platform behind our sales and marketing efforts, allowing us to uncover customer insights and then act on those insights in minutes, not weeks. SAP HANA delivered exactly that.Jeff Wiggin, VP, Enterprise Information Technology, T-Mobile USA, Inc.$10-25 savings per win-back subscriber - potentially billions of additional revenue per year56x faster insights performing churn analysis2 Billion+ records for 21M customers analyzed in 3 hours (ss. 1 week earlier)Product: Agile DatamartContextMeasure the effectiveness of Marketing Campaigns by analyzing offers & associated take rates of those offersBusiness ChallengesAbsence of rapid insights inefficiencies  potential revenue lossProliferation of offers/micro-offers makes offer performance management increasingly strategicHigh acquisition costs and intense competition in a saturated market Technical ChallengeBig data cannot be analyzed efficiently and accuratelyBenefitsEnable targeted micro-offers in real timeReal-time business decisions to maximize revenue by channelRefine sales offers leading to increased adoption rate and profitability from their customersCompetitionWon against Terradata, Neteeza, GreenplumToo expensive or too riskyExperience real-time analytical insights with SAP HANA“SAP HANA is enterprise ready and can handle information from multiple sources at T-Mobile for targeted offers to more than 21 million customers viachannels such as retail stores, customer care centers and eventually SMS. Since marketing campaigns are frequent and precise to a segment, it requires rock solid performance in addition to speed of analysis with SAP HANA to provide offers on the fly for improved customer adoption, profitability and retention.” Jeff Wiggin, VP Entreprise Information Technology , T-Mobile USA, Inc.“Based on the rapid analytics that we’re performing on SAP HANA, we are now able to quickly fine tune our current and future campaigns to improve the customer adoption rate, reduce churn and increase profitability.” Alison Bessho, Director, Enterprise Systems Business Solutions, T-Mobile USA ------------------------It’s the first Telco company worldwide to go-live on HANA and it took 16 weeks to implement this solutionProliferation of offers/micro-offers makes offer performance management increasingly strategicOn October 20th 2011, T-Mobile went live with HANA. It’s the first Telco company worldwide to go-live on HANA and it took 16 weeks to implement this solution. T-Mobile is using HANA to measure the effectiveness of Marketing Campaigns by analyzing marketing offers and the associated take rates of those offers. These offers are made via call centers, retail stores, the T-Mobile web site, and SMS text messages.  As a result, the solution pulls data from Teradata and two other Non-SAP sources with inbound ETL interfaces using Data Services 4.0 (EIM) and reports via Business Objects WebI and Explorer.  The solution uses the In-Memory power of HANA to gain analytical insight into millions of records within seconds.  The solution enables immediate access to the underlying transaction details.  T-Mobile expects this solution to provide critical marketing results that can be analyzed and reported very rapidly without the latency introduced by pre-aggregated data.  Their desired outcome is to support rapid reporting and analytical capabilities that the business does not have today.  T-Mobile will use the HANA technology to refine sales offers leading to increased adoption rate and profitability from their customers.
• #33: San Jose, CaliforniaIndustryProfessional Service (Internet)ServicesOnline MarketplaceEmployees31,500 (2012)Revenue or BudgetUS$ 14.1  billion (2012)Web Site eBay.comDetermine with 100% Accuracythat a signal is positive at 97% confidenceAutomated Early Signal Detectionsystem powered by SAP HANABusiness ChallengesIncrease ability to separate signal from noise to identify key changes to the health of eBay’s marketplaceImprove predictability and forecast confidence of eBay’s virtual economyIncrease insights into deviations and their causesTechnical ChallengesDetect critical signals from 100 PBs of data in eBay EDWHighly manual process because one model does not fit all the metrics hence requires analyst interventionKey benefitsAutomated signal detection system powered by predictive analytics on SAP HANA selects best model for metrics automatically; increases accuracy of forecastsReliable and scalable system provides real-time insights allowing data analysts to focus on strategic tasksDecision tree logic and flexibility to adjust scenarios allows eBay to adapt best model for their data“HANA is valuable in the sense that it accelerates that speed to insight. HANA, with in-memory capability, with multicore, fast, lots of data, all of that coming together is how I think analytics is going to work broadly in the future.”David Schwarzbach, VP&CFO eBay North America at eBay Inc.“HANA system will free up all the bandwidth right now involved in figuring out what is going. The user just has to feed in their metric, doesn’t have to really worry about which algorithm is the best and be able to use the system because it is inherently intelligent and configurable.”GagandeepBawa, Manager, North America FP&A at eBay Inc.
• #34: Innovations previously infeasible- predictive maintenance- different atp strategies possible, mrp run for individual ATP check/instant re-planning- optimization of procurement, manufacturing, transportation without limit to data scope & # of constraints- real-time genome analysisfraud detection, risk managementValues previously unattainable - iterative period end closing with new posting into accounts constantly- cash forecasts/management- real-time bonus calculations for consumers- in-moment sales forecast- usability gains (crm, self service apps)- mobile usage (response time 1-3 seconds max)- customer overdue credit calculation by area- pos data analysis as interactive sessionSimplicity previously unachievable - cost savings thru oltp and olap in one system- since systems can be replicated 20 times faster not so many systems needed (dev,test,quality)- schema extension on the fly gives new flexibility- hw cost savings (disk,nr. of systems)- less dba involvement needed- semantic processing across structured & unstructured data
• #39: Product: Predictive Analytics (R + SAP HANA)Business ChallengesComplex network of supply chains, partners, and distributors makes it difficult to analyze and evaluate performance and effectiveness of different business segments, marketing initiatives, and sales forceMission critical to get all sales information in one place to grow Cisco’s top line Provide Cisco sales with real-time insights to make better decisions Better data delivery decisions to improve the business for optimization and to drive topline growthLack of understanding of underlying sales performance drivers and the seasonality of buying patternsTechnical ChallengesInability to transform results of statistical analysis into actionable business insights effectivelyBenefitsCEO and CFO get access to real time analysis of pipelines, bookings, billings, and growth rates in order to proactively identify opportunities, beat competition and maximize performanceR drives predictability as bookings are occurring, as the pipeline is changing within hours versus weeksLower TCOBetter respond to customers and deliver tangible business valueReduce time to transform information into insights and improvement in the quality of decision-making on those insightsUltimately drive higher profitability and growthSAP HANA helps Cisco miss forecasting with real-time analysis!Planned vs. Actual bookings analysis in 2 business scenarios:Seasonality analysis – with given selected filters such as country, segments and sales levels - in about 5 secondsCluster analysis - over multiple quarters for one combination of sales level, quarter, and specified number of clusters (sales overachieving, just achieving, underachieving and missing target entirely) - in about 2 seconds5 seconds seasonality analysis with any selected filters including country, segments and sales levels2 seconds Cluster analysis across multiple quarters for a combination of sales level and quarter to determine sales achievement level“The HANA platform at Cisco has been used to deliver near real-time insights to our execs, and the integration with R will allow us to combine the predictive algorithms in R with this near-real-time data from HANA. The net impact is that we will be able to take the capability which takes weeks and months to put together, and deliver just-in-time as the business is changing.”PiyushBhargava, Distinguished Engineer IT, Cisco Systems------------------------------------------------Two scenarios:Seasonality analysis – pipeline, booking informationCluster analysis – there are 3 – 4 category of clusters: overachieving, just achieving, underachieving and missing target entirely.Track daily movement of clusters on top deals to understand the key drivers of the clusters of teams that are overachieving versus those at are not meeting targets. BoA team example – overachieving in cluster 1 in current quarter. The analysis will allow understanding of the composition of the team, for example solutions being sold; team structure; etc. This valuable insight can then be applied to less performing clusters to improve individual teams’ performance and ultimately leading to Cisco meeting/exceeding its quarterly goals. Combination of BI 4 and HANA allows a business user via their iPad to drill into minuet details of 250 million records of sales and pipeline data to get an answer immediately
• #40: ImplementationBatched based big data pre-processing to identify data of interestsLeverage R integration to HANA & PAL for data mining and to uncover patternsHANA provides in-memory predictive acceleration & correlated analysis---------------Product: Real-time Big data (R+Hadoop+HANA)Business ChallengesLonger wait time (days) for patient results for hospitals that conduct cancer detection from base on DNA sequence matching Delay in new drug discovery and higher associated costs due to lack of insights in patient dataTechnical ChallengeBig data  Lack of speed, accuracy and visibility into data analysis results in huge costs and longer turnaround time for drug discovery and the identification of disease factorsBenefitsFor hospitals: Real-time DNA sequence data analysis makes it faster and easier to identify the root cause. Patient care based on genome analysis results can actually happen in one doctor visit Vs. waiting for several days or multiple follow-up visitsFor Pharmaceutical companies: provide required drugs in time and help identify “driver mutation” for new drug targetCompetition408,000 faster than traditional disk-based systemMKIand SAP HANA could alter the course of cancer research in human history It currently takes 2-3 days for a person to find differences in genome data between cancer patients and healthy people. MKI anticipates the time reduction with HANA to be 20 minutes  216x fasterHANA is about 408,000 times faster than traditional disk-based system (60 million recs) while performing independent data analysisHANA is about 5-10 times faster than another competitor. (190milion recs)R+ Hadoop + SAP HANA  HANA provides us powerful real-time computation capability, and R offers us easy ways to model and analyze the data. Hadoop is the platform with distributed pre-data processing and storage capabilities. Combining all three, we can store, pre-process, compute, and analyze huge amount of data “Genomic DNA analysis in real-time will transform how we enable comprehensive patient care to fight against cancer. SAP HANA will be the mission critical and reliable data platform to make real-time cancer analytics into a reality.  Separately, our internal technical comparison demonstrated that SAP HANA outperforms a traditional disk-based system by factor of 408,000 when performing other types of data analysis.” Yukihisa Kato, Director & Executive Officer, CTO, Research and Development Center, MITSUI KNOWLEDGE INDUSTRY CO.,LTD.----------------------------------One stop service including genomic data analysis of cancer patient to support personalized therapeutics for the patient.This is not about poor decision making – the healthcare providers are making the best recommendation possible without HANA. This is about streamlining the process of providing drug recommendation for cancer patient based on a completely changed process, which is only possible through HANA. 2-3 days to analyze data -> 20 minutes to analyze data -> making it possible for the first time that  patient care based on genome analysis results can actually happen in one doctor visit vs waiting for several days or multiple follow-up visits. Genomic DNA analysis in real-time will transform how we enable comprehensive patient care to fight against cancer. SAP HANA will be the mission-critical and reliable data platform to make real-time cancer analytics into a realityOn one hand, Hospital will collect the genome data from patients and the system will analyze the mutation information. On the other hand, Pharmaceutical will provide the specific drugs based on patient’s mutation profile. Or it will help the Pharma researchers and Oncologist to identify “driver mutation” for new drug target.
• #41: From Ralph Richter – HANA implementation team:I have got the approval from our customer. Yes we can say this with this 1000x faster, because cancer information in HANA and HANA Oncolyzer brings information from several treatment cases of a single patient together to allow a holistic analysis, where in the past several steps were necessary and the holistic view was only possible with manual effort and this was the time consuming part. Search was not possible at all.-----------------1. Charite is running Hana 1.0 rev. 25. Data gets feeded via Data Services from the cancer database and SLT from ERP2. Customer is replicating Data from SAP ERP - IS-H and ish MED. Medical Services NLEI ca. 300 Mio Controlling Line Item COEP ca. 300 Mio Laboratory Data rom N2LABOR (header and Line Item) ca. 300 mio)3. HANA HardwareTyp: HP ProLiant DL580 G7 CPU: 2 x 8Core Intel(R) Xeon(R) CPU X7560  @ 2.27GHzMemory: 32 x 8GB RAM 1333 MHz Lan: 2 x 10g (Prod-Lan) und 2 x 1G (Management-Lan) HDD: 2 x 300GB (System) und 25 x 146GB Data Fusion IO-Card: 2 * 160GB zusammengefasstzueinem Volume (256GB) 4.  Report execution between 2 to 10 seconds as I know.1,000x faster tumor data analyzed in seconds instead of hoursDoctors and researchers can access all data through an iPadapp while visiting patients in the hospital2-10 seconds for report execution-----------Product: Agile DatamartBusiness ChallengesImprove cancer treatment and save lives by introducing new successful patient therapiesIncrease profits and reduce costs incurred due to slow reportingStrengthen position in budget negotiations with health insurance companiesTechnical ChallengesBig, unstructured data  more than 500k data points or 2 TB per patient; more than 30% increase in recent yearsFull transparency of financial, clinical and research dataBenefitsReal-time analysis of about 900M patient records (1800 Petabyte) across various departments and geographiesFaster, more flexible reporting helps reduce time in staff shift changes, saving dollarsReal-Time Insights with SAP HANA Oncolyzer Means Faster Patient TreatmentTumor data analyzed in seconds instead of hours – at least 1000 times faster!Patient data to be made available to medical doctors and researchers as an iPad application, so that they can access all data anytime while they’re visiting patients anywhere in the hospital“Today we analyze terabytes of data in a matter of seconds. This is of great advantage to both the executive management as well as to the doctors and patients.” Martin Peuker, Vice CIO, Charité University Hospital Berlin--------------------------------------Charité is one of the biggest university hospitals in Europe, with 150,000 inpatient and 600,000 outpatient treatments per year.Resarch Database for Cancer illnesses Using HANA to analyze cancer diseases and the respective development of the disease to compare patients and therapiesThis research initiative "HANA Oncolyzer" is an interdisciplinary cooperation between the Charité — Universitätsmedizin Berlin, the SAP Innovation Center in Potsdam lead by CaferTosun, and the Chair of Prof. Hasso Plattner at the Hasso Plattner Institute. The aim of the cooperation is to develop innovations, support the adoption of personalized medicine, and to enable a faster and improved way in treatment of patients. HANA Oncolyzer to be used as a powerful hypothesis-generator, to show correlations (or co-occurrence) between pairs of parameters, leading to more confident and more personal treatment of patients
• #42: 5% cost reduction in total overhead expense3 seconds to run year-end activity report that couldn’t be delivered before – infinite improvement3 weeks implementationProduct: Agile DatamartBusiness ChallengesMaintain high service levels while reducing cost-to-serve customersProvide differentiating value to customers with complex fleet servicesImprove critical roadside assistance to customers in real-timeReduce cost-to-serve customers, know ARI’s true customer profitability, spot and capitalize on trends in customer behaviorTechnical ChallengesInability to manage exponential data growth with volume doubling every 14 months Complexity of fleets with 14k data points and infinite combinations makes it impossible to analyze data effectivelyOcean of data produced with volume doubling every 14 monthsComplexity of fleets with 14k data points and infinite combinationsAmount of data and speed required made it impossible to effectively analyze data at reasonable costBenefitsEnable Customer Service Reps help drivers/vehicles in trouble and needing of roadside assistanceCustomer Profitability analysis – analyze customer segments in real-time and focus marketing/sales efforts, pricing optimization accordingly Leverage vehicle telematics data loaded real-time into HANA, merged with all of ARI’s historical customer, vehicle and vendor dataIncreased performance of contact centers (speed of answer, time to respond, first call resolution)Provided new self-service access for customers to directly get the information needed at significantly reduced cost for ARICompetitionWon against Oracle Exadata, IBM NetezzaSAP HANA helps ARI provide critical roadside assistance to customers in real-time!Analyze and report 15 years worth of historical customer invoice and vehicle maintenance data (~1TB) in seconds or sub-seconds. In their existing Oracle DB environment, these queries do not finish running  infinite times faster“We are taking data from a myriad of sources, from parts dealers, firms called upfitters that enhance vehicles, repair shops, gas stations, and so on. SAP HANA helps us combine all of that into a form that supports decisions, allows for exploration and diagnosis, helps make predictions, and provides the foundation for new products.”Steve Haindl, Senior VP and CIO, ARI---------------------------------ARILeading fleet svc organization – 1st one to sign a contract with HANA. They are positioning HANA as a key part of their growth initiative – to be #1 fleet service organization globally. Focused on customer insights.  Analysis and reporting across large stream of data – especially historical data - Velocity where data is doubling every 14 months - 7 minutes to a few secondsThey also deliver reports on the service they deliver to their customers on demand – any customer can go into their customer interface and have access to online reports and analysis (in the future)----------------Complex car and truck fleet management servicesARI is a leading, global, vehicle fleet solutions provider specializing in complex car and truck fleets. ARI is leading the fleet management industry through their innovative use of technology to provide outstanding customer service and help their customers run their fleets more efficiently and at a lower cost. Founded in 1948 and since 2005, ARI represents the largest percentage of managed vehicle growth among top US fleet management companies at 43% (according to published vehicle inventory comparisons).Various custom reports to be modeled in HANA- Invoice Fuel Fleet;ARI's goal is to create value for customers via their data assets on managed vehicles. This includes providing the ability to perform analysis of Invoicing, Fuel and Inventory data to drive a deeper understanding of the total cost of a vehicle over the lifetime of that vehicle. Priority will be placed on Invoicing information.--------------Highlights: One example of a strategic, innovative use-case ARI has on their HANA roadmap is tied to their largest revenue stream – the call center. By leveraging real-time vehicle telematics data and loading it into HANA, ARI will completely change the game in terms of the level of customer service they provide to their customers. To date, not many organizations have figured out how to leverage vehicle telematics data in an actionable and strategic way. ARI has figured it out: if you load real-time telematics data into HANA, merge it with all of ARI’s historical customer, vehicle and vendor data, and serve it up to Customer Service Reps in the call center, you have a game-changing differentiator. Today, if a vehicle breaks down, the driver calls into ARI’s call center for assistance. The CSR, who is also an ASE-certified auto technician, must gather information from the driver in an attempt to diagnose the vehicle’s problem. This can sometimes be an imperfect and painstaking process in and of itself. The CSR must then make a number of decisions that can have significant maintenance cost implications for the customer: Can roadside assistance get them back on the road again? Do they need a tow? If so, which repair shop should I send them to? Etc. The CSR’s goal is to quickly and accurately diagnose the problem and determine the most cost-effective way of addressing it, without sacrificing quality.In the future, by accessing real-time telematics data through HANA and BusinessObjects in their call center, the CSR will be able to pull up the precise location and complete diagnostic information about that particular vehicle. This saves time and removes any doubt from the vehicle diagnosis process. The CSR will then be able to perform ad-hoc analysis on the vehicle history, which provides added context to the current problem, i.e. when was the last time the breaks were replaced? Additionally, by analyzing historical vendor data, the CSR can see which approved vendors are in close proximity, which historically offers the best quality and price, or if there is a vendor nearby who can provide a highly specialized service that may be required. This level of service and ability to make strategic decisions about fleet maintenance will help ARI’s customers get more miles out of every vehicle at a lower cost.This is only one example of literally dozens of strategic initiatives ARI is planning to deploy on HANA and the SAP BA&T platform----------Upgrades and follow up opportunity: Other, near-term examples of how HANA will help ARI increase their bottom and top-line include:1. Customer Profitability Analysis – ARI can analyze which customer segments (by product, service, industry, type of fleet, geographic location, etc) are most profitable, leading to more focused sales/marketing efforts, pricing optimization, and strategic workforce planning to increase the bottom and top line. 2. Reduced IT Overhead – Because of the second/sub-second response times delivered by HANA, ARI will no longer need to run and store the 60,000+ canned “FleetStat” reports that are made available to internal and external customers. By making tools like Webi and Explorer available in a self-service environment, this will reduce the overhead on IT resources, while also giving users the ability to get to a deeper level of insight.3. Reduction in customer-facing reporting/analysis requests – ARI has an opportunity to lower their cost-to-serve while simultaneously providing a higher degree of customer service that is a competitive differentiator in the marketplace. Through self-service reporting and analytics capabilities, ARI will experience a significant reduction in inbound customer requests to perform one-off reporting and analytics exercises. ARI customers will be able to access all of their fleet data in a user-friendly way to get whatever answers they need in an on-demand basis.4. More Proactive “Strategic Consulting” recommendations – Because ARI can quickly slice-and-dice their entire historical collection of customer/vehicle data, it allows their strategic consulting group to more quickly and proactively compile a comprehensive analysis of any existing or potential customer’s fleet with strategic recommendations on how they could run more efficiently and/or lower costs. This serves to elevate ARI’s view as a strategic partner to existing clients and becomes a competitive differentiator when competing for new business.5. Accelerated Time-to-Value and lower TCO – Prior to selecting HANA, ARI had plans to make a significant investment in more traditional, RDBMS-based enterprise datawarehouse platform, which, according to ARI’s CIO, would have been “years in the making” and carried a significantly higher TCO. However, ARI now plans to leverage HANA as their EDW platform, allowing them to bring innovative new products/services to the market more quickly and with a much lower investment in time, people, IT infrastructure, and software licenses.Mobility, ERP, BPC and Sustainability solutions are all in play at ARI to build upon the advancements made possible by HANA.
• #43: In the highly competitive and fast-moving gaming industry, Bigpoint needed to increase conversion rates from free to paid, increase the average revenue per paying player, and decrease churn. With SAP HANAReal-time insightsPer player profitability analysis and increased understanding of player behaviorIncrease data volume and processing capabilities to communicate personalized messages to playersBusiness ChallengesIncrease conversion rate from free  paying playerIncrease the average revenue per paying playerDecrease churn – keep paying players playing longerTechnical ChallengesLeverage real-time data processing in SAP HANA and classification algorithms with R integration for SAP HANA to deliver personalized context-relevant offers to playersAnalyze vast amounts of historical and transactional data to forecast player behavior patterns BenefitsReal-time insightsPer player profitability analysis and understand player behaviorIncrease data volume and processing capabilities to communicate more personally to individual game players
• #44: NongFu Spring produces and markets bottled water and fruit drinks in China. Hear how it successfully deployed the SAP HANA platform to replace its Oracle data mart, achieving fast data display, efficient process logic calculation, and real-time synchronization to optimize processes and gain competitive insights.Nongfu Spring Co. Ltd., with its well-known name brand in the Consumer Products industry, is the largest bottled water producer in China. As the largest holding company of Yangshengtang, Nongfu Spring owns seven production facilities and dozens of factories. With ¥10 billion in revenue, the company has more than 10,000 employees, including over 8,000 sales staff that are responsible for working with more than one million customers in cities and towns to promote the company’s bottled water and other beveragesNongFu Spring (Bottled water and beverages) Product: Agile Datamart, BW HANA - RU Business ChallengesPoor decision making due to slow speed and lack of accurate dataSlower response time to competition and growing business needsTechnical ChallengesBig data  takes more than a day to organize huge amounts of point-of-sale (POS) Lack of coordination between its operations in sales, marketing, production, and logisticsBenefitsReal-time decisions regarding the company’s long-term development, improving efficiency and lowering costsReal-time shipping fee calculation and sales order analysisCompetitionSAP replaced their Oracle EDW (Oracle 11g) with HANA 1.0 SP2Experience real-time execution with SAP HANA 1.0 SP220 – 30 times faster generation of business reports 2,335 times faster to produce freight account settlement report 24 fewer hours needed for monthly accounts closing8,000 sales representatives get the latest information2T data volume. ~100M records is the largest table. 10x compression ratio from source data>2,300x faster to produce freight settlement report5-10x reduction in BW query response33% reduction in database size35% Reduction of transportation costs“We are so satisfied with the operation and speed of the entire BW on HANA implementation. According to end users' feedback, the speed of their standard BW reports is very fast and has been improved greatly. In addition, the running of the whole production system is stable with fast speed of the data extract, ETL, and incremental updates.”CIO NongFu SpringsPhase 2: Benefits achieved with BW on HANA5x to 7x improvement in DSO generation and activation Average report speed on BW queries improved by 5x to 10x Reduced IT workload with the elimination of indexes and aggregates as well as simplified modeling in HANAEntire data volumes stored in DB2 when migrated to HANA (and stored in-memory) is 1/3 times smaller ----------------------------NongFu Spring produces and markets bottled water and fruit drinks in China. Hear how it successfully deployed the SAP HANA platform to replace its Oracle data mart, achieving fast data display, efficient process logic calculation, and real-time synchronization to optimize processes and gain competitive insights.Nongfu Spring Co. Ltd., with its well-known name brand in the Consumer Products industry, is the largest bottled water producer in China. As the largest holding company of Yangshengtang, Nongfu Spring owns seven production facilities and dozens of factories. With ¥10 billion in revenue, the company has more than 10,000 employees, including over 8,000 sales staff that are responsible for working with more than one million customers in cities and towns to promote the company’s bottled water and other beveragesStory submitted by: Andy Deng, AE Region: APJ, ChinaCurrent implementation status: Live
• #45: Usha International Ltd.– Domestic appliances (India)Product: BW HANA - RUBusiness ChallengeDue to report-generation time-lag, the actual sales and supply-chain performance could not be trackedPoor decision making due to lack of faster analysis Technical ChallengeSlow response to the large data analysis queryExponentially increasing data volumes affecting the supply chain efficiencyBenefitsSales up-lift enabled by faster analysis of secondary sales data and addressing demand Real-time decision-making results in better inventory managementSmaller DB footprint for the same size of a BW deploymentEnter new markets by analyzing secondary sales data and market research reportsExperience real-time execution with BW on HANAQuery performance improvement 60-80 times (faster response to large data queries)Data load 10X fasterCompression factor 9.185+ reports/queries running over HANAReduce US$ 1M inventory held for 180 days to about 30 days60-80x faster query performance improvement9:1 data compressionfactor10x faster data load50% reduction in inventory“Business users are very thrilled with the results. They are able to run reports faster, and more importantly, productively utilize their time for analysis and better decision making. Our IT department is also very happy as this project has achieved 3 things in one go: achieve a smaller DB footprint for the same size of a BW deployment; faster data loads making more current data available to business; faster reporting and analysis making business users happy. We are now planning to migrate to BPC – HANA. Customer is also planning to upgrade to SAP BusinessObjects BI 4.0.”SubodhDubey, Group CIO, USHA
• #46: Product: BW HANA - RU, Ops Rpt RDS v2Business ChallengesPoor labor utilization due to lack of insightsPoor decision making due to slow reportingTechnical ChallengesLabor data too large to calculate granular program costsConstant expansion of data type, source, volumeExisting DW too cumbersome for constant changeBenefitsReal-time visibility into actual labor costs to enable better resource utilization decision20,000x more data available for analysis7x data compressionachieved1,131x fasterreporting timeCompetitionReplaced existing Oracle database 10.2.0.5.0Consolidated Data Warehouses to BW on HANA--------------------The business area operated with latency in the existing weekly reporting process which was slow and iterative in comparison to the dynamic needs of the business and its data.Users were constrained by data growth, as a previously daily Actual Cost and Labor Data had been limited in selection, aggregation and still grew to a weekly cycle.Program managers dynamic needs were constrained by information access which may be as much as a week out of phase with current data.Finance analysts in the monthly close process were constrained by an inability to see results of identified labor corrections within the business day, during closing activities. --------------LM – business problems / benefits Existing weekly reporting processes were very slow, and could not keep up with the demands of the business and the large data processing requirements.  Program managers could not access data in time, and had to wait sometimes in excess of one week to queue for their data processing requests. Monthly Finance closing processes were hampered by lack of insight into changing labor parameters which occurred during the business day, causing errors or delays in the closing activities.  This ultimately caused delays in LM billing their customer (creating a longer A/R issue) – because they could not bill until the data was all correct & processed in the system Labor overtime was also not efficiently utilized because of the lack of real time insight regarding most efficient use of resources HANA fixed all of this (technical data you have)
• #47: Product: COPA RDS, Ops Rpt RDS v2Business ChallengeLower profitability due to poor decision making and demand forecasting in sales and sourcingLower business growth due to dependency of Sales on IT to run business analyticsTechnical ChallengeSpeed up monthly closing process and increase quality of their processesBenefitsIncrease profitability in Sourcing by making real-time decisions in purchasing raw materials based on demand forecastingIncrease profitability in Sales by deciding real-time on commercial proposals based on up-to-date margin analysisExperience real-time execution with SAP HANA500K EURO working capital reduction within a weekClosing cycle reduced from 5 to 3 days i.e speedup monthly closing process by 40% Speedup of CO-PA report from 10 hours on ECC down to 2.4 seconds on HANA; covering all company codes and 2 years of data. 15,000x faster analysis and insight“3-3-3 for SAP HANA: in 3 days, we successfully completed a proof of concept using our own CO-PA data; in 3 weeks, we were live and running; and within 3 seconds, we now run any CO-PA analysis.”Rogier Jacobs, CIO at Provimi-------------------Provimi is a world leader in animal nutrition solutions within 70 plants in 26 countriesFirst CO-PA HANA RDS customerworldwide
• #48: The facts:Processed structured and unstructured dataProcessed SAP, NON-SAP and external dataMash-Up data in one report using Crystal (without Universe)Total of 8 tables used in HANA120M rows (largest table “Billable hours”)The WOWs6 weeks from start to finish – 3 weeks to acquire hardware – 3 weeks to build app.End-to-End POC. In the Deloitte US data center!Successful teamwork demonstrated by extensive knowledge sharing.HANA Modeling techniques employed exclusively.Rank and sort the entire 120 million row dataset in 10 seconds.Data for a single customer ranked and sorted in ~500ms.~15 minutes to load data into HANA (not using Bulk Loader API)200x faster query performance 0.5 second ranked and sorted a single customer off 120M rows9x BW Data Compression – from 2.7 GB to 296 MB4 seconds to query 10M records6 weeks implementationProduct: Ops Reporting RDSBusiness ChallengesLack of streamlined visibility into the overall relationship with their clientsImprove the close rate of business development teams resulting in increased revenue and cost savings in hardware maintenanceRespond faster to market conditions and drive immediate competitive advantageTechnical ChallengesSlow reporting as data stored across multiple systems (SAP and non-SAP) and data stores (internal and external) due to volume (Big Data) Lack of insights into detailed-level dataBenefitsEnabled free-form, wild-card text search across multiple fieldsEnabled multiple search strings at the same timeUtilized fast and agile data modeling in HANA---------------------------------What business challenge, opportunity or issue is the customer addressing by deploying HANA:  Deloitte professionals do not have streamlined visibility into the overall relationship with their client – volumes of information stored across multiple systems (SAP and non-SAP) and data stores (internal and external).  HANA will enable them to mash-up this data gaining greater transparency into contacts and relationships with customers and prospects across the entire firm.  This will help to improve the close rate of business development Teams resulting in increased revenue, and cost savings in reductions of hardware maintenance.Current limitations with the timeliness, visibility and lack of detailed-level data, as well as the sheer volume of business data, are preventing them from responding fast enough to market conditions and driving immediate competitive advantage.   Essential data, such as historical time recordings of Professionals on respective projects, is divided across multiple databases due to volume (BIG data) making some reporting very slow.  HANA enables them to mash-up this data volume with other SAP, non-SAP and external data sources (an effort previously unattainable within existing landscape) for rendering on the iPad.
• #49: CompanyUnderArmourHeadquartersBaltimore, Maryland IndustryTextile - ApparelClothingProductsPerformance apparel, footwear, and accessoriesEmployees5,900 (2012)Revenue or BudgetUS$ 1834.90 M (2012)Web Site http://www.underarmour.com/“What I would tell any CIO that's considering HANA is, ‘It's real; this is the direction; there is support out there from partners.  It's not bleeding-edge anymore, but it is certainly leading-edge. Now's the time to make the investment.’ ”Jody Giles, Chief Information Officer at Under ArmourBusiness ChallengesOptimize the fill rate and customer satisfactionIdentifying the optimal product mix for consumers daily Improve inventory management through delivering orders to the warehouse and to consumers faster Technical ChallengesLimited ability to run allocations; only an overnight batch process or on weekendsOverburdened inventory management system Key benefitsIdentify new business opportunities through faster allocation runs, optimizing revenue, increase fill rate, test different scenariosIncrease in fill rate leads to ~0.5% increase in additional annual revenueRun allocations processes in minutes , multiple times per day, rather than hours Sales operations can analyze afternoon batch processes and react to the finding which has led to increased fill rates and better product mixes in stores Millions of dollars in estimated cost savings through improved inventory management80% fasterAllocation jobs reduced from hours to minutes1% fill rate increase Leads to a 0.5% increase in monthly revenue 50% ReductionIn rescheduling in production landscape
• #50: About John DeereJohn Deere was founded +175 years ago. The company celebrated our anniversary in 2012. Since its founding in 1837, John Deere has seen a great many changes in its business, its products, its services. The John Deere portfolio of businesses is varied, yet interrelated. Two of our businesses – Agricultural (e.g. Tractors, Planters/Seeders …) and Construction equipment – are in an excellent position to take advantage of global growth. Two additional businesses – Turf and Forestry equipment – support and enhance worldwide channel development. And additional supporting businesses – Financial Services, Power Systems, Parts Services, and the Intelligent Solutions Group – strengthen and differentiate our equipment businesses.SummaryJohn Deereis the first companyworldwidethatwent live with SAP ERP powered by SAP HANA in April 2013. The projectwasfocused on the new product introduction process - whichis the lifelineat John Deere. The first results? Business users in design centerscannowmakequickerdecisionswith real-time insights based on large volumes of live design data. Derek Dyer, Director Global SAP Services atDeere & Company, alsoindicatedat SAPPHIRE that John Deerealreadyobservedsignificant performance and productivity gains - between 70 and 90%. As an example, userscannowcomplete more than 70 000 tasks on a single dashboard - whichwas not even possible to open in the past. And even more impressive, Derek confirmedthat the move to SAP HANA wascompletedwithoutany disruption to the business.SituationProduct development is a key process as Deere introduces new parts with high frequency Product Data Management (PDM) starts with an engineer’s concept or idea and flows through engineering process - by sharing and leveraging enormous amount of design data - and results in a component or part for a Deere product (e.g. Tractor)Historically, analyzing this data was in some case not possible and in many cases very time intensive - resulting in significant delays for delivering new partsBusiness users were dissatisfied with the user-experience and were faced with making decision on data which was 12-16 hours old - leading to inadequate decisionsBusiness and IT Transformation with SAP Business Suite powered by SAP HANAAllowed real-time access to all product development programs globally and improved decision making through easier identification and reduction of process bottlenecksImproved data availability and reliability and enabledproduct development programs worldwide in real-timeAccelerated key process steps – study, design, develop, verify, implement, and completeEnabled business users to analyze up to 70.000 tasks through a single dashboardBenefitsInnovated the way design centers and engineers access data in product management centersImproved business users productivityAccelerated time to market and time to valueSimplified IT landscape and reduced overall IT running costs impacting the TCOIndustryAutoProductSAP ERP powered by SAP HANAScopeProduct Data ManagementProjectMigration from DB2 to HANAStatusLive since 15th April 2013ObjectiveInnovate new product introduction processSolutionSAP ERP powered by SAP HANABenefitsDerive new Business and IT value« John Deerefocuseseachday on innovation, servingcustomerswithbreakthroughtechnologythatenhancestheirproductivity. As the first customer thatwent live with SAP ERP powered by SAP HANA, we aspire to improveourcapability to makequickerdecisions on design data, to gain real time insights on very large volumes of live data, and to seesignificant performance improvementinour new product introduction process. Withthese aspirations met, ournext objective is to drive additional mission-criticalprocesses in real time, provide self-service mobile connectivity to our business users, and derive new business and IT value. »Derek Dyer, Director SAP Global Services, Deere and Company
• #54: UnderArmour– Re-allocation & scheduling of available Inventory in real-time + $10M RevenueAdditional revenue if fill rate increases by only ½ percent PirelliEnable fleets to sense deviations in tire temperature and pressure - 3% CostReduction in fuel and tire costs (assuming avg 10% under inflation)Wildfire (WF)Help Brands Harness the Power of Word-Of-Mouth from social media+ $17M RevenueEstimated increase revenue with new customersUSHAEnable greater control of supply chain to improve inventory - 50% Inventoryreduction in inventoryProvimiDrive profitable decision with real-time analysis for demand planning (sourcing) and sales negotiations (commercial margin) - €500k Capital working capital reduction within a weekUniversity of KentuckyFaster, earlier intervention reduces student drop-outs through analysis of student behaviors+ $1.1M Revenueincrease in revenue with 1% increase in retention rateeBayMonitor eBay’s marketplace health through automated signal detection powered by predictive analytics 100% Accuracythat a signal is positive at 97% confidenceTMobileMeasure the value of marketing campaigns through analysis of promotions, customer loyalty, and associated adoption rates of those promotions $10-25savings per win-back subscriber - potentially billions of additional revenue per yearAlicorpGain competitive advantage using predictive analysis of market segmentation, promotions and discounts~2 secondsExecution of all queries from statistical modeling Mantis Technology GroupOffer rapid analysis of social media channels to track consumers and influencers, and measure brands against industry metrics99% fasterSignificantly reduced ETL Load timeNHS 24Implement guidelines in the UK Government Austerity measures to achieve cost savings of ~25% by 20155M PeopleDeliver healthcare at lower cost with higher quality to people of ScotlandSPARImprove out-of-stock and loss prevention through real-time analysis of fraudulent activity throughout stores € 1.2Mpotential shrink-reduction savings with improved loss-prevention analyticsARIUse real-time information to operate its call centers with greater productivity, a higher first-call resolution rate, and a lower cost per transaction.- 5% Costreduction In total overall cost