5 Facts Everyone Should Know About Big Data

FACTS EVERYONE SHOULD KNOW ABOUT BIG DATA 1 BIG DATA IS A HUGE MARKET A $50B MARKET BY 2017 But will Big Data live up to its promise? Big Data Market Revenue Forecast, 2011-2017 ($B) 55.00 55,000,000,000 $50B 45.00 45,000,000,000 35.00 35,000,000,000 25.00 25,000,000,000 15.00 15,000,000,000 5.00 5,000,000,000 -5.00 2011 2012 2013 2014 2015 2016 2017 -5,000,000,000 R $3.4B MARKET FOR "REAL" BIG DATA 50% is Hadoop and the other half fragmented NOSQL Hadoop and NOSQL Market Revenue Forecast, 2012-2017 (Software/Services only) ($M) Hadoop & NOSQL Market Forecast Hadoop NOSQL 4,000 3,375 3,500 2,950 3,000 2,300 2,500 1,519 2,000 1,375 1,328 1,035 1,500 815 486 619 500 367 219 2012 2013 2014 2015 2016 2017 Hadoop = 51% plain vanilla + 24% freemium + 25% paying subscription %3D 75% is using vanilla Hadoop or free distributions Hadoop distributions in use (%) 24% Open source Hadoop 51% Paying subscriptions from Commercial Vendor 25% Free distribution from Commercial Vendor C That's why vendors are rushing inot the market. The Big Data landscape is like a Cambrian explosion that changes extremely fast. BIG DATA IS HERE TO STAY! datawarehouse Incumbents We hit limits of existing did not live up are struggling systems to its promise A BIG DATA Is STILL EARLY DAYS! What is the current state of Big Data Deployments? Which of the following best describes the states of Big Data Analytics deployment in your organization? 28% Pilot, PoC Underway 41% Evaluation Phase 31% Production Deployment R CHALLENGES FOR BIG DATA ADOPTION Top 3 Barriers inhibiting Big Data to spiral Lack of skills (this is something we focus on: our devices try to bridge this gap!) Data and technology infancy (very early market) IT and Biz talk different languages From a financial perspective, what is the primary driver of Big Data Analytics projects in your organization? Big Data Projects by Industry Big Data Attitude 1% 8% 2% 20% 46% 20% 35% 45% 15% 55% 23% 14% 9% I Big Data Analytics is the new source of comptetitive advantage & is/will fundamental to our business IT Technology Providers Big Data Analytics is/will be an important complement to our existing Data Warehouse and Business Intelligence practice Primary driver unclear I Healthcare To save money I Manufacturing (ie by improving operational efficiency) Big Data Analytics is "nice to have" set of technologies/capabilities but is not top priority I Banking and Finance To incrrease revenue (ie by identifying upsell opportunities) Retail and wholesale I Big Data Analytics is a buzzword with unclear meaning or application withing my enterprise Both Other WHAT BIG 3 DATA COULD MEAN TO YOU ¢55 TODAY $3.50 On each $1 invested EXPECTED A| PRACTITIONERS WILL CREATE EXPONENTIALLY MORE VALUE THAN BIG DATA VENDORS Big Data What good visual could we apply here? Something explaining this customer market versus the vendor marke BIG DATA ATTITUDE BIG DATA DRIVERS BIG DATA BY INDUSTRY 1% 2% 8% 20% 20% 35% 46% 55% 15% 45% 23% 14% 9% Big Data Analytics is the new source of comptetitive advantage & is/will fundamental to our business I Primary driver unclear IT Technology Providers I Healthcare I Manufacturing To save money (ie. by improving operational efficiency) Big Data Analytics is/will be an important complement to our existing Data Warehouse and Business Intelligence practice To incrrease revenue I Banking and Finance (i.e. by identifying upsell opportunities) Retail and wholesale Both I Big Data Analytics is "nice to have" set of technologies/capabilities but is not top priority Other Big Data Analytics is a buzzword with unclear meaning or application withing my enterprise CONCLUSION 1 Big Data practitioners will create exponentially more value than vendors! B BIG DATA IS ALREADY HAPPENING Industry heavyweights can lean disruptors apply Big Data & analytics across various industries #fitbit CocaCola ups a airbnb UBER facebook. amazon.com Google NETFLIX JPMorganChase EU is catching up U United a Community Bank. bol.com cool blue Melexis KBC euroclear iolecne Integed n Universities are applying Big Data Institutions are investing Coca-Cola KU LEUVEN ExaSciençe Tifelab 1425 Small companies are disruption TRACK UITY ADGOJI TRIBEFØRCE. data.be gengagor BIGDATA COMPANY BETA business info Small Too: The same power that big data awards large companies will be the norm for small business CONCLUSION 2 The same power that Big Data awards enterprise companies will be the norm for small business. 7 EASY STEPS TO BE SUCCESSFUL WITH BIG DATA AGILE! Big Data and its projects are extremely susceptible to change! Being feet-on-the-ground is the only way forward. [2] 4. Explore the big data landscape to choose the most suitable tools Start small then grow Start from the Be nimble requirements 6. Architect for Hire external But focus on change (lambda) expertise building skills 5 STEP TO LEARN BIG DATA II IT 1. 2. 3. 4. Build your own solutions using virtual servers via 5. Go physical via BigBoards (http://bigboards.io): Read books and Learn via Practice via online tutorials from e.g. papers from e.g. O'Reilly, Amazon and Google MOOCS from e.g. Coursera and edX DataCamp and Code School e.g. AWS and GCE REFERENCES http://www.slideshare.net/jeffkelly568/wikibon-big-data-capital-markets-day-2014 http://blogs.wsj.com/accelerators/2014/10/31/matt-ehrlichman-big-data-for-small-firms/ http://venturebeat.com/2014/05/11/the-state-of-big-data-in-2014-chart/ http://www.forbes.com/sites/gregsatell/2013/10/11/why-big-data-matters/ http://harvardmagazine.com/2014/03/why-big-data-is-a-big-deal http://www.forbes.com/sites/louiscolumbus/2014/10/19/84-of-enterprises-see-big-data-analytics- changing-their-industries-competitive- landscapes-in-the-next-year/ $M (software/services only) I II II I