Oies Big Data and the Internet of the Things Overview
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The document discusses big data and the internet of things (IoT). It outlines key drivers and implications such as using sensor data to improve customer experience and reduce costs. Challenges include securing and monetizing sensor data. The document provides examples of using big data and IoT across industries and describes the complexity of implementing these technologies. It outlines OIES Consulting's advisory services for enterprises working with big data and IoT.
Oies Big Data and the Internet of the Things Overview
- 1. www.oies.es Big Data and the Internet of the Things Overview Observation Innovation Execution Satisfaction Francisco Maroto OIES Consulting October 2013 1 © Copyright OIES Consulting. All rights reserved.
- 2. Big Data and IoT ? – More than 3 V´s Volume Velocity Variety Source: Gartner, August 2013 2 Validity Viability Value Source: Aberdeen Group, April 2012 © Copyright OIES Consulting. All rights reserved.
- 3. The Big Data and IoT Game DRIVERS IMPLICATIONS CHALLENGES • Transaction volume growth explosion and interaction patterns is a recipe for chaotic traffic loads. • The predictive power of Big Data with IoT data show promises but need to be explored . • Security and ownership of sensor raw and processed data • Sensor data could introduce an increased risk of “false discoveries”. Monetize the sensor data content • An Internet of things can enable Big Data hybrid uses. For the car connected example, multiple services might get pieces of that automobile and travel data for everything from traffic management to insurance rate-setting, from mechanics' diagnostics to road-repair prioritization. • Service providers find a way to earn and share revenue out of IoT services and Big Data services with partners. Reduce Operational Cost with federated IoT and Big Data Clouds • Each cloud is a distinct domain with its own dedicated predictive infrastructure that ensures continuous, closed-loop local optimization and security concerns. • IoT cloud domains would be loosely coupled from each other, lessening the likelihood that anomalous non-linear events in one or more of them don’t trigger chain reactions that cascade across them all. Improve Customer Experience 3 • Data Silos: Look for points of intersection where sensors data and social networks factors combined for a better understanding of your customers. • Trends: Examine customer buying histories, social media comments and service satisfaction to identify buying habits to contact preferences. • Optimize & Prioritize: Track sensor data with social media and internal systems complaints and identify weak areas in your customer service touch points. © Copyright OIES Consulting. All rights reserved.
- 4. Data Analytics and Sensors are needed everywhere Legal discovery and document archiving Social network analysis Traffic flow optimization Recommendation engines Churn analysis Location-based tracking & services Oil & Gas exploration Weather forecasting for business planning Healthcare outcomes Personalized Insurance Fraud detection Life sciences research Advertising analysis Equipment monitoring Pricing Analysis Smart meter monitoring Intelligence Gathering 4 IT infrastructure & Web App optimization © Copyright OIES Consulting. All rights reserved.
- 5. Some Big Data and IoT Business Scenarios Recommendation Engines Pricing Analysis Advertising Analysis Customer Churn Analysis 158 Items sold/second by Amazon.com on 11/29/2010 (Cyber Monday) Location and Security Based Services 5 Smart Cities Smart Grids Big Data in Sports Healthcare © Copyright OIES Consulting. All rights reserved.
- 6. A New Set Of Questions Are Being Asked Of the Business Can we use sensor data to better predict customer sentiment and improve customer experience? 6 © Copyright OIES Consulting. All rights reserved.
- 7. How complex is implement Big Data and IoT Executives have big ideas with IoT and Big Data but … How do I even get started with a request like that? Big Data Landscape 7 IoT Landscape © Copyright OIES Consulting. All rights reserved.
- 8. The Big Data and IoT Innovation Process “CREATIVITY is thinking up new things. INNOVATION is doing new things.” - Theodore Levitt My Sensor/ RFID Device Data Social Network Data 3rd Party IoT&Big Data Service My Legacy Data Industry Trends Product Development Process Improvement Service Development New Partnerships Insights FOCUS & FILTERING: IDENTIFY THE BEST IDEAS 8 New Business Models THE IMPORTANCE OF (RE)EVALUATION END-TO-END IDEA LIFECYCLE © Copyright OIES Consulting. All rights reserved.
- 9. Big Data Analytics & IoT in Retail Industry How valuable is Ana/Peter to my retail sales ? Who does she/he influence ? What do they spend ? Value Creation Model On store shelves Issues for the Retail Industry Deliver value to empowered customers Move from market analysis to understanding individuals Take charge of growing volume, velocity and variety of data Foster lasting connections Focus on relationships, not just transactions Invest in expanding the corporate brand Capture value, measure results Developing complete understanding of the point of sale Build new skills and solutions 9 Staples has partnered with Zonoff to introduce Staples Connect, which uses a universal hub and multiplatform app to control connected devices throughout the home. Staples showed off its new retail kiosk at Mobilize for the first time. Placing the spotlight on connected home devices in stores should help elevate public awareness, and break these products out of their somewhat niche market. © Copyright OIES Consulting. All rights reserved.
- 10. Cisco view of Internet of Everything in Retail Improving Customer Experience and Profitability Optimizing the Inventory to increase sales Maximizing the Value of Retail Space Using Location based services to attract customers Assisting customers and Increasing sales Connecting Customers to improve Omni Channel sales Source: Cisco: http://internetofeverything.cisco.com/see/ioe-work-retail-0 10 © Copyright OIES Consulting. All rights reserved.
- 11. Why OIES Consulting Advisory services based on our deep knowledge of the Telco, M2M and Big Data market and technology. Hands on Experience in Business Development and Enterprise solutions selling for Technology and Professional services firms Worldwide Customer references For Further information Francisco Maroto, CEO OIES Consulting francisco.maroto@oies.es 11 © Copyright OIES Consulting. All rights reserved.