This document discusses the hype versus reality of big data. It begins with a quote comparing big data to teenage sex, in that everyone talks about it but few truly understand it. The document then provides an introduction to big data and defines it not by size but by the large number of data points and sources, lack of sampling, and inclusion of all data types. It notes that currently big data is experiencing hype, ignorance of how to implement it, fear of missing out, and challenges with execution. The document examines success criteria for big data and provides a suggested workflow. It analyzes case studies where big data projects failed when not business-driven or due to lack of stakeholder buy-in and privacy concerns. The key takeaw
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Big Data: Hype vs. Reality
1. C.K.Kumar
THE HYPE & THE REALITY OF BIG DATA
@SupraMBA #PCATX16
Is Big Data Really Like
Teenage Sex?
2. Big Data : Hype vs. Reality
C.K. Kumar
What is Big Data ?
The State of Big Data
Big Data Success Criteria
Big Data - Case Studies
Key Takeaways
Agenda
3. Big Data : Hype vs. Reality
C.K. Kumar
Big Data is like teenage sex:
Everyone talks about it,
nobody really knows how to do it,
everyone thinks everyone else is doing it,
so everyone claims they are doing it too.
: Daniel Ariely, Behavioral Economist
4. Big Data : Hype vs. Reality
C.K. Kumar
Big Data A Small Introduction
5. Big Data : Hype vs. Reality
C.K. Kumar
Big Data vs. Small Data
Big Data should NOT defined by size.
Size is incidental !
Criteria Small Data Big Data
# of Data Points Limited ~All
# of Data Sources Few Many
Sampling Expensive, Accurate No Sampling
Data Type Structured All Types
6. Big Data : Hype vs. Reality
C.K. Kumar
Everybody Talking About it
Nobody Really Knows How
Everyone Thinks Everyone Else is Doing It
Everyone Claims They are Doing It Too
Big Data Current State
HYPE
IGNORANCE
FOMO
EXECUTION
7. Big Data : Hype vs. Reality
C.K. Kumar
Big Data Success Criteria
8. Big Data : Hype vs. Reality
C.K. Kumar
Big Data Success Criteria
Source: CapGemini
9. Big Data : Hype vs. Reality
C.K. Kumar
Big Data A Suggested Work Flow
Source: Cayuse Tech
10. Big Data : Hype vs. Reality
C.K. Kumar
Case Study
Sources: The Guardian
PLAN
Build a national patient
database in the UK
Launched in 2002
Initial Budget 贈3.1B
REALITY
贈10.9B Effort by 2012
No buy-in at multiple levels
Failed Trust in the system
Poor contractual
Expensive legal costs (贈31B)
ENSURE PLAN IS BUSINESS-DRIVEN, NOT JUST TECHNOLOGY-DRIVEN
11. Big Data : Hype vs. Reality
C.K. Kumar
Case Study Tesco
THEN
Customer Analytics Rule
Launched first loyalty card
Est. Budget 贈500M / Yr.
Transformed Retail
Market Leader with 30% MS
Emulated by Walmart, Kroger
NOW
MS: 10-year low (2015)
Stockprice: 11-year low (2015)
Analytical Albatross
New Management
DATA IS GREAT BUT ACTING ON THEM IS CRITICAL
12. Big Data : Hype vs. Reality
C.K. Kumar
Case Study
PLAN
$100M project by Bill Gates
Foundation
Student Data collected,
curated & stored in the cloud
Wide application in Schools
Upgrade School Technology
ACCEPTABILITY FIRST, TECHNOLOGY NEXT
REALITY
Poor Approach
Buy in from stakeholders
Privacy Concerns
13. Big Data : Hype vs. Reality
C.K. Kumar
Big Data Key Takeaways
Big Data Still in Teenage Years
Beware of Big Data Myopia
Build Better Relationships, not More
Transactions
Big Data Not Just a Technology Problem
14. Big Data : Hype vs. Reality
C.K. Kumar
Thank You
Editor's Notes
#5: Small, Simple and Slow Large, Complex and Fast