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Bilot practical big data 101

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A 101 guide to Practical Big Data - what your enterprise needs to know to succeed with big data!

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Bilot practical big data 101

  1. 1. 25/08/2014 www.bilot.fi 1
  2. 2. Practical Big Data 101 Introduction to Practical Big Data in 18 slides 25/08/2014 www.bilot.fi 2
  3. 3. What’s wrong with big data as we know it today? Is big data just hype or is there value in it for me? 25/08/2014 www.bilot.fi 3
  4. 4. This is big data as we most commonly see it today – what’s wrong with this picture...? ... gather it into a huge data lake... ...have it analyzed by a bunch of data scíentists... 25/08/2014 www.bilot.fi 4 Take all the data you can possibly get your hands on... ...and cash in your gazillions of $$$! + + =
  5. 5. In fact, large part of big data projects have failed to deliver results Focus on technology rather than business opportunities Missing clear link to frontline activity 25/08/2014 www.bilot.fi 5 R&D activity rather than business-supported transformation Projects staffed primarily with data scientists and techies with little support from business High expectations coupled with low understanding of where value would come from Hint 1: Making big data a business project rather than a science project might be a better approach ~50% of big data projects have turned out disappointing - IDC global survey
  6. 6. Therefore, the 3 V’s of big data is now 6 V’s Hint 2: Big data should have a clear business case to work against Varia-bility 25/08/2014 www.bilot.fi 6 Initially big data was just about having lots of data to play with... Volume Volume Velo-city Variety VALUE ...since then, more attributes have been added to define big data... ..., but from enterprise standpoint the key is in VALUE! Volume Velo-city Variety Validity
  7. 7. Too often big data lacks a clear link to action – and therefore value! Value Real-time Action Real-time Analysis Big Data Have a clear link between insight and action! 25/08/2014 www.bilot.fi 7 Big Insight Big Data Don’t try to invent the value-creating play as the last step – address it first! Big Analysis Desired Business Outcome Old approach Value-creating approach Action (TBD) Hint 3: Value may reside less in the data itself and more in how Value (TBC) fast you get it into practical use
  8. 8. Much of big data is not fully enterprise-ready yet Hint 4: Approaching big data with real-time analytics, potentially also combined with predictive capabilities, may get you to faster results. 25/08/2014 www.bilot.fi 8
  9. 9. Practical Big Data The missing link between big data and value 25/08/2014 www.bilot.fi 9
  10. 10. Practical Big Data is about engaging your key stakeholders in real-time Decision maker • New, transformative business models • Real-time financials and analytics • Big data -powered Business Intelligence Customer 25/08/2014 www.bilot.fi 10 Frontline • Real-time customer engagement • Real-time service tools • Real-time processes • Real-time information • Delightful interaction • More competitive offering • Needs anticipated and fulfilled at right time and right price
  11. 11. Practical Big Data is about connecting your big data with real-time business Practical Big Data 25/08/2014 www.bilot.fi 11 4. Enterprise big data 3. Real-time engagement 1. Business ownership Acid test for Practical Big Data 1. Strong business ownership 2. Ties with business processes 3. Provides real-time engagement 4. Uses enterprise-ready big data tools 2. Business processes
  12. 12. It’s about making big data part of your everyday business... Mobile BI Mainframe Client/Server Web In-memory Cloud 25/08/2014 www.bilot.fi 12 employees Business user reach-% 1980’s 1990’s 2000 2010 2020 Printed reports Ad hoc queries OLAP All Manage-ment BI suites Dash-boards Self-service BI Big data and advanced analytics Analytics everywhere Practical Big Data Source: Modified from Successful Business Intelligence, 2nd edition by Cindi Howson
  13. 13. ...and it’s on top of the C-level agenda in global companies right now! Among top 3 digital trends in respondent companies McKinsey Global Survey to C-level executives 2014; N=850 Digital engagement of customers 69% Digital innovation of products, operating model, or business model Big data and advanced analytics Digital engagement of employees, suppliers, or business partners Digital customer life-cycle management Automation 64% 45% 44% 40% 34% Aspects of Practical Big Data 25/08/2014 www.bilot.fi 13
  14. 14. Practical examples What Practical Big Data looks like in real life 25/08/2014 www.bilot.fi 14
  15. 15. Three levels of Practical Big Data A. Power up processes B. Engage in real-time C. Transform the industry Ambition level 25/08/2014 www.bilot.fi 15 Impact
  16. 16. Practical examples EXAMPLES • Price optimization • Mobile sales force analytics • Financial process 25/08/2014 www.bilot.fi 16 Transform the industry • Macy’s • Hilti • Deutsche Telekom Power up processes Engage in real-time • LinkedIn • N.N. • Yodobashi • Netflix, Amazon • Amadeus • John Deere • Engaging content • Social media engagement • In-store promotions • Predictive product promotions • Big data –powered digital products • Predictive maintenance + engaging content A B C 1 2 3 4 5 6 7 8 9
  17. 17. Want to learn more? Would you like... • ... a deep dive on the aformentioned big data 25/08/2014 www.bilot.fi 17 examples? • ... a demo of Hadoop with a practical use case? • ... organize a half-day management workshop on Practical Big Data? • ... further scoping and idea generation on how your organization could benefit from Practical Big Data? CONTACT info@bilot.fi SEE www.bilot.fi READ blog
  18. 18. 25/08/2014 www.bilot.fi 18

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