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

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 £3.1B
REALITY
♦ £10.9B Effort by 2012
♦ No buy-in at multiple levels
♦ Failed Trust in the system
♦ Poor contractual
♦ Expensive legal costs (£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 £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