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Big Data and Analytics: The IBM Perspective
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Big Data and Analytics: The IBM Perspective


Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more …

Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit and The 44 Club here

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  • 1. © 2014 IBM Corporation Big Data at…Big Blue… Presented by Gareth Mitchell-Jones, 19th May 2014 @garethmj74
  • 2. © 2014 IBM Corporation2 Big Data at…Big Blue…  The 5 V’s…  The view at Big Blue…  The market…  The clients…  Some real examples…
  • 3. © 2014 IBM Corporation3 Big Data: Volume - Really? 0 200,000,000,000,000,000,000,000,000,000 400,000,000,000,000,000,000,000,000,000 600,000,000,000,000,000,000,000,000,000 800,000,000,000,000,000,000,000,000,000 1,000,000,000,000,000,000,000,000,000,000 Normal Data Big Data Grey Area Number of Bytes
  • 4. © 2014 IBM Corporation4 Big Data: Variety - Really? Images / Photographs Videos / CCTV Text / Documents Voice Recordings / Tape / Digital Transcriptions Geographical / Topological Sensors / Networks Mobile / Tablet Exhaustpipe Vehicle / Device Telematics Weather / Climate Information CCTV / Videos Geographical / Topological Vehicle Device Telematics
  • 5. © 2014 IBM Corporation5 Big Data: Velocity - Really? Source: datasciencecentral
  • 6. © 2014 IBM Corporation6 Big Data: Veracity - Really?
  • 7. © 2014 IBM Corporation7 What is IBM’s position in the marketplace?
  • 8. © 2014 IBM Corporation8 At a logical level nothing much has changed in 20 years…(or more)... …but atomically a transformation has, and is taking place…
  • 9. © 2014 IBM Corporation9 A simplified view of the Big Data and Analytics stack created in 2011 remains broadly relevant to most of the marketplace… The Big Data Stack Data growth curve:  Megabytes -> Gigabytes -> Terabytes -> Petabytes -> Exabytes - > Zettabytes -> Yottabytes -> Brontobytes -> Geopbytes Analytical Infrastructure curve:  Databases -> Datamarts -> Operational Data Stores (ODS) -> Enterprise Data Warehouses -> Data Appliances -> In-Memory Appliances -> NoSQL Databases -> Hadoop Clusters > MPP Databases > Triple Stores > Quad Stores > Graphs Source:
  • 10. © 2014 IBM Corporation10 Untapped Resource Empower Everyone Increased Value The World of Big Data (& Analytics) is Rapidly Expanding Data is the world’s newest resource Decision-making extends from few to many New approaches are required as data value grows
  • 11. © 2014 IBM Corporation11 1900 1950 2011 We have entered a new era of computing . . . . . .enabling new opportunities and outcomes
  • 12. © 2014 IBM Corporation12 IBM Watson Advisors IBM Watson Solutions IBM Watson Foundations IBM Watson Cognitive Fabric Provides the big data and analytics capabilities that fuel Watson Products based on Watson’s core attributes and capabilities APIs, tools, methodologies, SDKs, and infrastructure that fuels Watson Bespoke solutions designed to meet some of industries most demanding needs leveraging cognitive capabilities IBM Watson Ecosystems The Watson Developer Cloud, Watson Content Store and Watson Talent Hub driving innovation from partners The Watson family IBM Watson family Commercial in Confidence
  • 13. © 2014 IBM Corporation13 Systems Security On premise, Cloud, As a service Storage IBM Watson Foundations Big Data & Analytics Infrastructure New/Enhanced Applications All Data Real-time analytics zone Enterprise warehouse data mart and analytic appliances zone Information governance zone Exploration, landing and archive zone Information ingestion and operational information zone What could happen? Predictive analytics and modeling What action should I take? Decision management What is happening? Discovery and exploration Why did it happen? Reporting, analysis, content analytics Cognitive Fabric A new foundation for leveraging all analytics and harnessing all data Commercial in Confidence
  • 14. © 2014 IBM Corporation14 Provides the tools for analysts and business users to share and exploit insights So what do you get from a zoned insight architecture… Leverages what is in place already Enables the digital opportunity Enables the mining opportunity Automates repetitive tasks and establishes a control environment to execute against integration and governance decisions Focuses and directs resources towards business priorities, establishes process controls and arbitrate on difficult business decisions Promotes innovation through findings
  • 15. © 2014 IBM Corporation15 • Acquisition • Personalisation • Profitability • Retention • Service Maximise Insight, Ensure Trust, Improve IT economics Transform management processes • Global Operations • Infrastructure & Asset Efficiency • Counter Fraud • Public Safety & Defense • Harness & Analyse all Data • Spectrum of Analytics • Govern & Protect All Data • Optimise Big Data & Analytics Infrastructure • Planning & Performance Management • Disclosure Management & Financial Close • Incentive Compensation Management • Human Capital Management • Analytics as a Service Platform • Data-driven Products and Services • Non-traditional Partnerships • Mass Experimentation Optimise operations; counter fraud & threats Acquire, grow, retain customers Create new business models Manage Risk • Risk Adjusted Performance • Financial Risk • Operational Risk • Financial Crimes • IT Risk & Security ! Imagine It. …infuse analytics into appropriate key business processes… Commercial in Confidence
  • 16. © 2014 IBM Corporation16 Disappointment is only ever a few words away… OURCE:
  • 17. © 2014 IBM Corporation17 SOURCE:
  • 18. © 2014 IBM Corporation18
  • 19. © 2014 IBM Corporation19
  • 20. © 2014 IBM Corporation20 …which is why clients continue to need help to build their refineries…
  • 21. © 2014 IBM Corporation21
  • 22. © 2014 IBM Corporation22 …an awful lot, but not always from large vendors or consultancies…
  • 23. © 2014 IBM Corporation23 Audience Insights: Precision Advertising Commercial in Confidence
  • 24. © 2014 IBM Corporation24