Business Intelligence Trends for University of Western Australia
- 1. University of Western Australia Guest Lecture SAP Business Intelligence Joshua Fletcher SAP Mentor 16th October 2013
- 2. Agenda 1. 2. 3. 4. Introduction SAP Overview SAP's Analytics & IM Platform Industry Trends – Mobile Analytics – In-memory Databases – Predictive / Statistical Analysis 5. Questions & Answers
- 3. Introduction • Twelve years experience with BI tools • Recently spent seven years as a Principal Consultant and Team Lead (up to 10 consultants) including recruiting graduates • Now contracted to BHP Billiton Iron Ore as a BI Architect in their new BICC • Experienced across the lifecycle of Business Intelligence and Enterprise Information Management
- 5. SAP Mentor Initiative • SAP Mentors are the top community influencers of the SAP Ecosystem • Most of the ~130 mentors work for customers or partners of SAP • All of them are hands-on experts of an SAP product or service, as well as excellent champions of community-driven projects • Focus is on engagement, co-innovation and advocacy
- 6. Channels dslayer.net @dslayered dslayered Unprofessional journalism at its finest Recorded by a bunch of guys in the SAP BI community Podcasts on product news, technology usage and interviews with other BI people
- 7. Who is SAP? • SAP is the world leader in enterprise applications in terms of software and software-related service revenue • More than 238,000 customers in 188 countries • More than 65,500 employees – and locations in more than 130 countries • A 41-year history of innovation and growth as a true industry leader • Annual revenue (IFRS) of € 16,22 billion • Listed under the symbol "SAP" on stock exchanges, including the Frankfurt Exchange and NYSE • SAP recently celebrated it’s 40th anniversary (video)
- 8. SAP’s Analytics Platform Gartner Magic Quadrant 2013 Business Intelligence Gartner Magic Quadrant 2013 Data Warehouse
- 10. Trend 1 – Mobile Analytics • • • 1 in 3 Americans now own a tablet (Mashable Jun 2013) Australians have the most tables per capita in study across 16 countries (SMH Dec 2012) What are the hot areas for mobile BI? – – – – • Self-service report & dashboard consumption Spatial analysis Exploration of information Simple ad-hoc analysis Most vendors have mobile apps that are free to download and use trial data with
- 12. Trend 2 – In-memory Databases • Gartner note 60 vendors who provide forms of in-memory databases (IMDB) • Major vendors who now support (or have announced planned support) include: – – – – SAP with HANA Oracle with Oracle DB In-memory Option IBM with IBM DB2 Blu Microsoft with SQL Server 2012 Hekaton • Some vendors are adding to existing tech, others are building new
- 13. SAP HANA • Natively in-memory with MPP architecture • Designed to support OLTP & OLAP workloads simultaneously (write individuals record while querying billions) • Unstructured & structured data storage • High compression with column & row store • On-premise or cloud deployment options
- 14. SAP HANA Capabilities • • • • • • Advanced calculation/semantic layer Unstructured text analytics Statistical algorithms Data quality algorithms Spatial querying supported Smart Data Access allows querying of Hadoop, Sybase IQ and other databases
- 15. SAP HANA – More Than a DB
- 16. SAP HANA Performance 3 billion scans per second per core 12.5 million aggregates per second per core 1.5 million inserts per second
- 17. SAP HANA Performance • 1 PB Performance Benchmark – – – – 100 Nodes, 100 TB in DRAM 10 Years of Sales & Distribution Data 1.2 trillion Rows (330 Million transactions / day) Ad-hoc Simple Queries (e.g. Month Report) • 430ms – 647ms, Drill-down: 142ms, Complex Queries (e.g. YoY report): 1.2s – 3.1s – Query Throughput (Queries per Hour) • 7,547 for 1 stream, 57,202 for 10 streams, 112,602 for 60 streams
- 19. Trend 3 - SAP Predictive Analytics • Desktop analyst tool which provides data acquisition, cleansing, statistical analysis and visualisation capabilities • Integrates with local R engine or pushes analysis to HANA and Predictive Algorithm Library (PAL) • Able to handle big data by leveraging HANA’s capabilities • New possibilities such as McLaren F1 (video)
- 20. Predictive Needs & Examples • Anomalies – what anomalies or groupings/clusters exist? • Forecasting – how does historical information translate to future performance? • Relationships – are there correlations in data, or opportunities to cross-sell or up-sell? • Key Influencers – what are main influencers of customer satisfaction or customer churn? • Trends – what are emerging trends or sudden step changes that will impact business?
- 21. Integration with R Library • Open source statistical programming language with over 3,500 packages and ability to write your own functions • Used by growing number of data analytics in industry, government, consulting and academia • Free, comprehensive and many learn at college or university
- 22. HANA Synergies • Leverage complimentary capabilities of Predictive Analytics and HANA PAL • Integrated and optimised for interoperability, enabling combination of real-time and operational analytics, access to big data, and predictive capabilities • If it's available through HANA, it can be used for data mining and predictive analysis: gain real-time access to BPC, BW, ERP, Analytic Applications and more
- 23. Common Algorithms • Association (Apriori) – Find frequent item patterns in transactional datasets ie market basket analysis • Clustering (K-Means) – Cluster observations into related groups • Decision Trees (CNR Tree) – Classify observations into groups and predict discrete variables
- 24. Common Algorithms • Neural Network (MONMLP Neural Network) – Forecast, classify and undertake statistical pattern recognition • Outliers (Nearest Neighbour Outlier) – Find patterns in data that aren’t expected • Regression (Exponential Regression) – Finds trends in data • Time Series (Single Exponential Smoothing) – Smooth (trend) or forecast time series data points
- 25. SAP Predictive Analysis Demonstration
- 26. Useful Links – Mobile BI • • • • Explorer iPad App Mobile BI iPad App Lumira Cloud Free Lumira Desktop Personal Edition Free
- 27. Useful Links – HANA • SAP HANA Startup Program • Access Your Own HANA Server – Free 30 day trial – Cloud development access (Amazon EC2 PAYG) • HANA Academy • NBA Statistics (powered by HANA)
- 28. Useful Links – Predictive • SAP Predictive Analysis Trial • Try R School • Free book ‘Learning Statistics with R’
- 29. Useful Links – General • SAP Mentor Initiative Introduction • Diversified Semantic Layer
- 30. Any questions? You can reach me on: @josh_fletcher josh@geek2live.net