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Big data - Key Enablers, Drivers & Challenges

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Big data - Key Enablers, Drivers & Challenges

  1. 1. Big Data – Let’s Embrace It!By Shilpi Sharma Nov, 2012 When Execution Matters 1 (Confidential)
  2. 2. Topics Covered V3 and Enablers 3Ts and Challenges Use Case: Sales Enablement When Execution Matters 2 (Confidential)
  3. 3. Big Data Characteristics – V3 A petabyte is one quadrillion bytes, or the equivalent of about 20 million filing cabinets’ worth of text. An exabyte is 1,000 times that amount, or one billion gigabytes.As of 2012, about 2.5 exabytes of data are created each day, and that number is doubling every 40 months or so.More data cross the internet every second than were stored in the entire internet just 20 years ago. 30Bn pieces of content shared on Facebook every month When Execution Matters 3 (Confidential)
  4. 4. What is Big Data? When Execution Matters 4 (Confidential)
  5. 5. Key Enablers When Execution Matters 5 (Confidential)
  6. 6. Key Enabler – Data Storage When Execution Matters 6 (Confidential)
  7. 7. Key Enabler – Computation Capacity When Execution Matters 7 (Confidential)
  8. 8. Key Enabler – Data Availability When Execution Matters 8 (Confidential)
  9. 9. Key Drivers – Internet of Things & Big Data of 2B electricity utility meters18% are smart meters Intelligent machines fighting50B+ for bandwidth by 2020 When Execution Matters 9 (Confidential)
  10. 10. Gartner Emerging Technologies Hype Cycle 2012 Investments in Big Data $5B+ Infrastructure (2009-2011) When Execution Matters 10 (Confidential)
  11. 11. Industry SectorsRich in Big Data When Execution Matters 11 (Confidential)
  12. 12. Value Potential Across Sectors For Hi-Tech Companies, Big Data is generated from Value Chain When Execution Matters 12 (Confidential)
  13. 13. Readiness Across Sectors Information is the only industry that will get most value from Big Data with ease. When Execution Matters 13 (Confidential)
  14. 14. Big Data – 3TsTechnologies, Techniques & Talent When Execution Matters 14 (Confidential)
  15. 15. Big Data Technologies Where processing is hosted? Distributed Servers/Cloud (e.g. Amazon EC2) Where data is stored? Distributed Storage (e.g. Hadoop DFS) What is programming model? Distributed Processing (e.g. MapReduce) How data is stored& indexed? High-performance schema-free database (e.g. Cassandra) What operations are performed? Data Analytics, Semantic Processing (e.g. R) When Execution Matters 15 (Confidential)
  16. 16. Big Data TechniquesA set of techniques to extract patterns from large datasets bycombining methods from statistics and machine learning withdatabase management. Few examples: Supervised Learning – Support Vector Machine Unsupervised learning – Cluster Analysis Data fusion – Signal processing, Natural Language Processing Optimization – Genetic Algorithm, Neural Networks Predictive Modeling – Regression, Time Series Analysis When Execution Matters 16 (Confidential)
  17. 17. Big Data Talent When Execution Matters 17 (Confidential)
  18. 18. Big Data Value Chain Aggregate Analyze Consume Derive Value Data Data Data Data Integration (from  Smart Sampling of  Visualization  Connect the dots multiple sources) Data (Actionable Insights) Data harmonization  Finding similar items (multi-rate, noisy, missing)  Building Models and incremental updating of Data Classification models Change Management Data Policy & Governance Technology Management When Execution Matters 18 (Confidential)
  19. 19. Big Data – Management Challenges Big data brings the potential for transformation, not the actual transformation Change Decision Making Management Clash of Shortage of Skills Technologies When Execution Matters 19 (Confidential)
  20. 20. Food for Thought When Execution Matters 20 (Confidential)
  21. 21. Take an example – A Client MeetingTypes of Data:  Internal Information: Company, Presentations, collateral, pricing, contracts  Personal Information: Territory assignment, Goal Attainment, Past interactions with customer  External Information: Company, People, Competition, MarketData Sources:Suddenly you are going from a few office documents to hundreds of files andchannels that are being continually updated.  Static like a webpage, personal profile, competitive cheat sheet  Dynamic like a YouTube channel demonstrating a competitor’s product, a blog reviewing an announcement, or twitter channel When Execution Matters 21 (Confidential)
  22. 22. Some Facts  $135,262 – Average support costs per year for each salesperson  7 hours/week - Average salesperson spends looking for relevant information to prepare for sales calls  50% of the information is pushed through email; only 10% is made available in a useful formatSource: Forrester Research & IDC Sales Advisory Service When Execution Matters 22 (Confidential)
  23. 23. Big Data Application Connect the dots across internal and external data for sales professional  What has been sold at client? How it has been working?  Where the industry is moving? What are top challenges for the decision makers? How does it connect to product portfolio you are selling?  What has been the buying pattern at client?  Any new insights based on Install Base? Win More Deals, Increase Productivity, Sell Smarter When Execution Matters 23 (Confidential)
  24. 24. When Execution Matters 24 (Confidential)

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