Enterprise Data World Webinar: Make BIG DATA Work for You

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TARGIT CTO Dr. Morton Middelfart has professionally devoted himself to one thing: turning DECISIONS into ACTION faster, more efficiently, and more intelligently than ever. He continues to develop patented features that zero in on solving the challenges that companies face every day. One of those challenges is harnessing the massive amounts of external data relevant to your company. Big data is … well … big. And companies that don’t learn from it and adapt will be quickly left in the dust. Join Morton for his session “Make BIG DATA work for you” and discover how to get the most out of your big data through Business Intelligence.

What you’ll learn:

- Why external data is increasingly important to today’s businesses
- Exciting new technologies developed to help you make sense of the growing amount of Big Data
- How to measure and monitor consumers’ sentiments about your company
- What your external data says about your internal data
- What you need to take action to constantly stay ahead of the curve

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Enterprise Data World Webinar: Make BIG DATA Work for You

  1. 1. Make BIG DATA Work for You Presented by Dr. Morten Middelfart, TARGIT CTO targit.com/research morton@targit.com @dr_morton on Twitter
  2. 2. Flight
  3. 3. or Fight ?
  4. 4. Supporting the decision loop with intelligence Decision Based on Facts Use all available information Action Changes Communication Reaction/Action Orientation Analytics Simulation Observation Dashboards Reports Agents
  5. 5. The TARGIT Journey # Data Sources x Data Size Time
  6. 6. The TARGIT Journey Strategic Operational # Data Sources x Data Size Time
  7. 7. The TARGIT Journey Strategic Getting Started Using Accelerators -> Easy Analytics & Reports Operational # Data Sources x Data Size Time
  8. 8. The TARGIT Journey Strategic Integrated Action Loop Dashboards, Analytics, Reports & Agents -> Self-Service BI & Ad-Hoc Analytics Getting Started Using Accelerators -> Easy Analytics & Reports Operational # Data Sources x Data Size Time
  9. 9. The TARGIT Journey Strategic Data-Driven Culture Dynamic Integration/Rejection of Internal & External Data -> Competing on Analytics Integrated Action Loop Dashboards, Analytics, Reports & Agents -> Self-Service BI & Ad-Hoc Analytics Getting Started Using Accelerators -> Easy Analytics & Reports Operational # Data Sources x Data Size Time
  10. 10. The TARGIT Journey Strategic Data-Driven Culture Dynamic Integration/Rejection of Internal & External Data -> Competing on Analytics Integrated Action Loop Dashboards, Analytics, Reports & Agents -> Self-Service BI & Ad-Hoc Analytics Getting Started Using Accelerators -> Easy Analytics & Reports Operational # Data Sources x Data Size Time
  11. 11. Why?
  12. 12. Technology Trends – Usual Suspects  Faster  Smaller  Cheaper -> More Capacity -> More Bandwidth
  13. 13. Human Behavior – the Unpredictable  Social Data  Open Data -> Valuable Insights -> High Volume of Data -> Real Time, Streaming -> Social vs. Search
  14. 14. Cycles – the Weird Stuff  Browsers: three, one, five  Servers: mainframe, pc, client server, cloud  Files: programming db (flat files), relational db, multi-dimensional db, programming db in-memory, programming db (flat files) -> specialized servers physically optimized (e.g. SSD, ASIC)
  15. 15.  #FactBeatFear when data speaks
  16. 16. #FactBeatFear when data speaks 1. Firms will realize that “big data” means all of their data. 2. The algorithm wars will begin. 3. Real-time architectures will swing to prominence. 4. Naysayers will fall silent.
  17. 17. There are 1.8 zettabytes of digital data in the world (2011), projected to grow to 7.9 zettabytes by 2015. zettabyte = 1021 or 1,000,000,000,000,000,000,000 bytes ~ 45% annual growth The Growth of Unstructured Data: What To Do with All Those Zettabytes? Dataversity, 2013
  18. 18. Big Data Data that exists in such large amounts or in such unstructured form that it is difficult to handle in the traditional data warehouse or any other type of database. Right?
  19. 19. From Control to No Control
  20. 20. What it means for organizations:  Loss of Control  Data amounts overwhelming  Data Scientist rather than an Accountant -> Sampling rather than complete datasets!
  21. 21. What it means for organizations: Volume and Speed + Smaller and Faster Devices = more Analytics per Interaction + on the Device External Data exceed “Owned Data” -> organizationsmust compete on a larger share of external data, thus data they do not control
  22. 22. Inverted Data Warehouse (IDW) o o o Inspiration from CERN’s LHC “Shotgun Approach”; equal to formulating hypotheses; data scientist No single point of failure (parallel Query Nodes have also been tested)
  23. 23. Inverted Data Warehouse (IDW)    Possible to Query 32.5B “rows” for “the Little Guy” Robust Operationally & Strategically Useful
  24. 24. What it means for TARGIT customers: Would it be interesting to know what a customer is looking for before entering your business?
  25. 25. What it means for TARGIT customers: Would it be interesting to know what customers say to friends after doing business with you?
  26. 26. Why?
  27. 27. Hive/Hadoop & BigQuery
  28. 28. The Future
  29. 29. The TARGIT Journey Strategic Data-Driven Culture Dynamic Integration/Rejection of Internal & External Data -> Competing on Analytics Integrated Action Loop Dashboards, Analytics, Reports & Agents -> Self-Service BI & Ad-Hoc Analytics Getting Started Using Accelerators -> Easy Analytics & Reports Operational # Data Sources x Data Size Time
  30. 30. The TARGIT Journey Strategic Data-Driven Culture Dynamic Integration/Rejection of Internal & External Data -> Competing on Analytics Integrated Action Loop Dashboards, Analytics, Reports & Agents -> Self-Service BI & Ad-Hoc Analytics Getting Started Using Accelerators -> Easy Analytics & Reports Operational # Data Sources x Data Size Time
  31. 31. Fight !

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