1. BIGDATA IN BELGIUM Gianni Cooreman giannicooreman.com @giannicooreman

2. 6,5Y RESEARCH 1Y STRATEGY 1Y ANALYTICS TECHNOLOGY GEEK WORLD EXPLORER RUNNING JUNKIE WINE LOVER CUISINE SAVOURER 3. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW 4. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW 5. http://dilbert.com/strips/comic/2012-07-29/ DEFINITIONS 6. DEFINITIONS BIG DATA: HYPE OR NOT? 7. When volume, velocity and variety of data exceeds an organizations storage or compute capacity for accurate and timely decision-making DEFINITIONS 8. DEFINITIONS I said it before & Ill say it again: EVERYTHING IS RELATIVE, THE SAME GOES FOR BIG DATA 9. DEFINITIONS 10. Value VOLUME (amount & complexity) VARIETY (type & sources) VERACITY (quality & trust) VELOCITY (speed) DEFINITIONS 11. LOW HIGH LOWHIGH INFORMATIONANDKNOWLEDGE VOLUME AND FLOWS OF (BIG) DATA 255 MILLION SITES (2011) 2 BILLION PEOPLE (2011) 1 TRILLION DEVICES (2013) DEFINITIONS 12. DEFINITIONS 13. GROWTH RATE Y/Y Database systems 97% Overall corporate data 94% Data of average organization 50% Source: Forrester DEFINITIONS 14. DEFINITIONS Hard Disk vendors tend to overemphasize the Volume part of the Big Data definition. 15. DEFINITIONS Even more than dealing with volume, Big Data is about solving complex problems faster and more accurate, resulting in a higher business value. 16. DEFINITIONS TIME DATAVOLUMES Source: IDC 17. DEFINITIONS 18. DEFINITIONS The faster you analyze your data, the greater its predictive value. Companies are moving away from batch processing to real-time to gain competitive advantage. 19. DEFINITIONS 20. DEFINITIONS 21. Dont just collect data for datas sake. Big Data needs to solve a real business issue and bring added value f.i. higher customer experience, increased customer value, reduced costs... DEFINITIONS 22. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW 23. The main challenge is changing the organization so that it more readily challenges the rationale for decisions, uses data to back up the discussion, and generates PEOPLE VIEW 24. In order to gain credibility for your Big Data project, you need executive sponsorship. Youll need to illustrate the potential value and the road to get there. PEOPLE VIEW 25. http://www.bigdatalandscape.com/ IT NEEDS TO FAMILIARIZE WITH THE NEW TECHNOLOGY LANDSCAPEPEOPLE VIEW 26. IT will need to provide data scientists and business users with an analytical sandbox for data exploration purposes. PEOPLE VIEW 27. The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it is going to be a hugely important skill in the next decades. Hal Varian - Chief Economist Google PEOPLE VIEW 28. Hacking Statistics Domain Expertise Machine Learning Data Scientist Drew Conway, The Data Science Venn Diagram PEOPLE VIEW 29. Data Scientist Companies need solutions that enable them to use & customize their data easily, because it is the whole team, not just the data scientist, that knows the business best. PEOPLE VIEW 30. DEMOCRATIZATION OF ANALYTICS REQUIRED Big Data is about enabling business users. We feel it is our responsibility to make analytics approachable to a broader user base. We need to provide solutions a business user can understand. PEOPLE VIEW 31. Storytelling is not only an asset in consumer marketing, but in business decisions as well. To derive the greatest value from data, you need storytelling through data exploration & visualization. PEOPLE VIEW 32. PEOPLE VIEW SAS Visual Analytics, Try it out yourself http://bit.ly/trysasva 33. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW 34. DATA VIEW SHIFT NEEDED FROM APPLICATION-DRIVEN TO DATA-DRIVEN 35. Many companies will find low-hanging fruit by tearing down corporate silos. DATA VIEW 36. DATA VIEW 37. Past Present Soon Future A 360 customer view is relative and will keep on evolving as new technologies arise in the future. DATA VIEW 38. Lets take a look beyond corporate silos... Which other data mashups can deliver value? DATA VIEW 39. Microchips on humans to track their every move This sounds really far-fetched, doesnt it? DATA VIEW 40. DATA VIEW Our smartphones are microchips we wear day in, day out. 41. DATA FROM MOBILE APPSDATA VIEW 42. DATA VIEW PRODUCT GENERATED MACHINE DATA 43. http://senseable.mit.edu/copenhagenwheel/ PRODUCT GENERATED MACHINE DATADATA VIEW 44. http://www.deloitte.com/view/en_GB/uk/market-insights/deloitte- analytics/open-data/index.htm A piece of data or content is open if anyone is free to use, reuse, and redistribute it subject only, at most, to the requirement to attribute and/or share-alike. (Source: opendefinition.org) INCORPORATE 3RD PARTY DATA OPEN DATA MOVEMENTDATA VIEW 45. INCORPORATE 3RD PARTY DATA OPEN DATA MOVEMENTDATA VIEW 46. A new generation of companies is making data available. INCORPORATE 3RD PARTY DATA NEW DATA RESELLERSDATA VIEW 47. Social Data Web Data Consumer Open Data Paid Machine Data Mkt Sales Call Center Mobile Data ... OWNED Company Silo Breakdown Owned Machine Data Social Data Web Data Earned Machine Data Mobile Data Suppliers PAID OPEN EARNED DATA VIEW 48. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW 49. PRIVACY VIEW 50. THE CREEPINESS FACTORPRIVACY VIEW 51. BE TRANSPARENTPRIVACY VIEW 52. PRIVACY VIEW BE TRANSPARENT 53. CLARIFY THE RETURN ON INFORMATIONPRIVACY VIEW 54. GIVE CONTROL TO THE USERPRIVACY VIEW 55. DEFINITIONS PEOPLE VIEW DATA VIEW USE CASES PRIVACY VIEW 56. USE CASES REAL-TIME PERSONALIZATION Ive been a Telenet Fibernet customer for years... Such a waste of valuable screen real estate 57. USE CASES 50% CHURN REDUCTION BY COMBINING CRM, SOCIAL & BILLING DATA 58. USE CASES LOCATION-BASED PRICING 59. USE CASES WEBSITE OPTIMIZATION THROUGH WEBLOG ANALYSIS 60. USE CASES MACHINE DATA BASED PRODUCT IMPROVEMENTS 61. USE CASES TRANSACTIONAL AND SOCIAL DATA DRIVEN FINANCIAL CREDIBILITY 62. USE CASES SMART METERING DRIVEN COST REDUCTION 63. Dont accumulate data for datas sake. Focus on value for your business projects. Breaking down corporate silos can be the low-hanging fruit for your Big Data pilot. Big Data needs to be in the mindset of the whole organization. Use solutions that make analytics approachable for a broader business audience. KEY TAKEAWAYS 64. Start your big smarter data steps today One small step can result in big value... 65. QUESTIONS? 66. GIANNI COOREMAN Business Consultant Email: gianni.cooreman@sas.com Direct: +32 2 766 07 12 Mobile: +32 494 521 776 www.giannicooreman.com