Intel s Big Data Journey

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1 Intel s Big Data Journey Richard Mason- Marketing Analytics Product Owner Intel IT March 2015

2 Legal Notices This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. * Other names and brands may be claimed as the property of others. Copyright 2012, Intel Corporation. All rights reserved. 2

3 2014 Intel IT Vital Statistics >6,065 IT employees 50 global IT sites >106,000 Intel employees Intel sites in 66 Countries 61 Data Centers (91 Data Centers in 2010) 80% of servers virtualized (42% virtualized in 2010) >119,000+ Devices 100% of laptops encrypted 100% of laptops with SSD s >53,700 handheld devices 164 mobile applications developed Copyright Copyright 2015, Intel 2015, Corporation. Intel Corporation. All rights All reserved. rights reserved. Source: Information provided by Intel IT as of Jan Total employee count does not include wholly owned subsidiaries that Intel IT does not directly support 3

4 Intel IT s Big Data Journey Strategic focus Intel IT for the past 4 years has been increasing value from Business Intelligence Recognition that to drive greater value we needed to leverage more types of data Big Data, Semi Structured Data, Unstructured Data From more sources Weblogs, Sensors, Social media. Transform Intel through Insights & Innovation 4

5 Big Data Opportunity: Enable Greater Business Value The amount of data available and our ability to harness it is increasing Opportunity with Big Data is to Move up the BI Maturity Curve Decisions will be based less on hindsight and more on foresight 5

6 Big Data Challenges Workforce Big data skills Identify opportunities Big data consumption skills in the business Cultural Shift Business acumen in IT Data algorithms Software Technical Selecting the best platform for each business problem Investment in complementary capabilities, such as visualization Balancing total cost of ownership, supplier instability, and leadership The value of business intelligence gained from big data far outweighs technical and human resource investments 6

7 IT-Managed Big Data Platform Evolution In-Memory Analytics Platform NoSQL Data Stores e.g. Graph DB Visualization Platform PoC Hadoop/MapReduce Platform POC Predictive Analytics Platform Enterprise Data Warehouse (MPP) Line Of Business Data Marts

8 Sales & Marketing Account Recommendation Problem Intel s Online Sales Centers reach a distributed customer base of resellers (140k) How to focus limited sales attention on customers who are more likely to buy Solution Intel IT worked closely with business to understand how we focus on resellers Built a model to consolidate data from various sources Benefit Enterprise deployment of the solution has generated incremental revenue in excess of $35 million to date Who What When

9 Optimise xchannel Marketing Investments Problem Limited ability able to manage/optimise the effect of marketing across channels Solution Consolidate key data sources (big and small) to enable extendable integrated analysis platform Benefit Drive optimisation actions on investment areas Increase Impact of Marketing Investments

10 Factory Optimisation using IoT and Big Data Problem Unpredicted factory equipment failures, and component failures increase the production costs Solution Take advantage of available structured data from processes Add semi-structured (sensor data) Tap into unstructured (like shift reports, operator log entries) Benefit A pilot resulted in $9 Million ROI based on improved equipment uptime, increased yield and productivity Conduct predictive maintenance and reduced component failures

11 Post Silicon Validation Problem Complexity and time to complete testing of a microprocessor design (1 year) Solution Machine learning & data visualization to identify gaps and optimise test coverage. Benefit The result is a reduction in post-silicon validation time by 25 percent which will improve our product time to market roughly a quarter Estimated 13Million ROI pilot 11

12 Analytics in 2014 Delivering insights worth millions

13 How do other Organisations take advantage of Analytics? Data and Micro- Targeting helped win re-election for Obama Built a voter file that included voter history, demographic data, and preferences to identify persuadables to target. Linked voter files to zip codes and individuals within households to target for early voting. Predictive Analytics Reduce Maintenance Costs Predicted part failure rates and sent preventative maintenance crews to anticipate issues. Significantly reduced engine maintenance costs. Real-time Intelligence Boosts Home Loans Using analytics, sales representatives were able to understand past purchases on large home improvements to make real time offers for home loan products. Realized 21% increase in customer spend in one month. Predictive Analytics Increases Sales Analyzed demographics and member behavior to customize marketing communications. Predicted buying habits of its 6 million members, boosting renewal rates from 85% to 90%+ 13

14 Taking Big Data to the Next Level at Intel Continue to Grow Value from Big Data Continue maturity shift to predictive and prescriptive analytics In Memory Analytics as an enabler for near real time analytics Additional Data Stores to Support targeted workloads GraphDB Continue Skills Development Broaden Access to Wider Audience Education - Continually Advertise Internally to get mindshare Push analytical tools out to the point of expertise and consumption Advanced Visualisation techniques to help digestion of data Data Exploration Tools 14

15 Sharing Intel IT Best Practices With the World Learn more about Intel IT s Initiatives at 15

16 Intel Confidential Do Not Forward

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