Big data


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Big data

  1. 1. 35 Zettabytes by2020!
  2. 2. enterCLOUD Storage and Computation areCheap! Cloudsare evenCheaper!! Find MEANINGFUL data! W h a t if …??? Then w e …$$$
  3. 3. Accelerate more collection Get rid of allsilos Predict more outcomes Speedmore decisions enterOPPORTUNITY SAVEEVERYTHING andFOREVER
  4. 4. enterPROBLEM
  5. 5. enterHYPE
  6. 6. Data Sources © Matt Turck (@mattturck} and ShivonZilis (@shivonz) Bloomberg Ventures
  7. 7. Disillusioned Adopters Unhappy Results Time to Insight? Productivity? Automation? Efficiency? Creativity? Innovation? Causality? Outliers? Outcomes?
  8. 8. 3V’sand SilosNOLONGERthe prime problem Data is MINED,REFINED,COMBINEDby multitudes enterHAYSTACK Time to Insights may still be slow Knowledge may still be lacking
  9. 9. N e u r a l & C o g n i t i v e N e t w o r k s ACTION A l g o r i t h m s LEARNING Finding the Right Problem Sets and Data Sets Getting the right outcomes
  10. 10. enterAnalytics Sweet! …
  11. 11. Dimensioned DATA frames astory animating with times series …justtrending
  12. 12. Priorities Data Sets Problem Sets Meaningful DATAISABUNDANT Finding Common Customer requirement's HARD
  13. 13. Actionable Analytics takestime Volume Variety Velocity Analysis Patterns Predictions Models Frictionless Feedback Control Insights Outliers Action Logic
  14. 14. Analytics o Done right =science o Done 1/2 right =trending or regression o Done wrong =uncorrelated causality o Done really wrong =unintended consequences DATA PATTERNS ARE NOT STORIES DATA INSIGHTS ARE NOT FACTS
  15. 15. Summary 1. BigData andAnalytics are transforming businesses 2. Donot get lost at the fair, lots of buzz and technology 3. Data hasaheart remember the “Laws of Identity” 4. Algorithms are black boxes so audit for fairness, truth, legality 5. Feedback loops can compound Positive or Negative Bias 6. Using statistical norms for anchor points will always miss outliers 7. Consider using data for the public good through data philanthropy
  16. 16. Data has a heart … be ethical, responsible and empathetic