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Big Data – New Opportunity, New Risk
BCM Conference 2013
Simon Thomas
Singapore Business Analytics Special Interest Group
(BA SIG)
Big Data – Where is it coming from?

2
Big Data – What does it look like?

Volume

Variety

Velocity

Veracity

Data at Scale

Data in Many
Forms

Data in Motion

Data Uncertainty

Analysis of
streaming data to
enable decisions
within fractions of a
second.

Managing the
reliability and
predictability of
inherently imprecise
data types.

Terabytes to
petabytes of data

3

Structured,
unstructured, text,
multimedia
Big Data, or BIGGER Data?

Source: From IDC 2011 Digital Universe Study
Simon Thomas - Big Data: New Opportunity, New Risk
So,
• Big Data is being generated by everything, everywhere, all the time
• Big Data is growing exponentially
• Big Data is growing rapidly
• Volume, Variety, Velocity, Veracity
but most importantly,
• Big Data is growing where we CANNOT CONTROL IT !!!
Internet
Big Data

Unprotected

Uncontrolled
Chaos
Mess
Vulnerable
Unpredictable
Unreliable

FIREWALL

Protected

Controlled
Regulated
Managed
Secure
Predictable
Reliable
Big Data is addressing key imperatives for Business

Attract, grow,
retain customers

Optimize
operations and
reduce fraud

• Acquisition

• Global Operations

• Personalization

• Infrastructure &
Asset Efficiency

• Profitability
• Retention

• Fraud
• Security

Maximize insight
and IT economics

• Harness and
Analyze all Data
• Govern All Data
• Analytical
Workload
Optimization
• Spectrum of
Analytics

8

Transform
business
performance
• Financial and
Operational
Performance

Create new
business models

• Data-driven Products
and Services

• Financial Risk

• Non-traditional
Partnerships

• Operational Risk
and Compliance

• Mass
Experimentation
Racing to the cliff
 More and more of critical business functions rely on Big Data
 The quality of insights and value of Big Data comes from
– access to more data (volume)
– more sources (variety)
– great speed (velocity)

which drives business to expose themselves more and more to Big Data

How do you protect the Business when
more and more of your Business relies on
data from the Internet?
Problem? What problem?
The reality today  Big Data is a nice to have
 Insights are “improved” with Big Data, NOT driven by Big Data
 Disruption/Disconnect is recoverable (run it again…later…)
Remember another recent phenomenon that had similar characteristics about 15
years ago?

The Internet!!!
The imminent imperative
 Big Data will become “business critical”
 Reliable access to Big Data will become a “must have”
 Data sources outside the Enterprise will be more valuable, and more critical than
data sources from within the Enterprise
 Down time and disruption of Big Data channels outside the Enterprise will have
direct impact to the BOTTOM LINE

What is needed
 We need to identify strategies to “protect” external sources of data, despite those
sources being external to the enterprise
 We need to provide stability and continuity for the critical business functions that
are more and more dependent on this external data.

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Simon Thomas - Big Data: New Opportunity, New Risk

  • 1. Big Data – New Opportunity, New Risk BCM Conference 2013 Simon Thomas Singapore Business Analytics Special Interest Group (BA SIG)
  • 2. Big Data – Where is it coming from? 2
  • 3. Big Data – What does it look like? Volume Variety Velocity Veracity Data at Scale Data in Many Forms Data in Motion Data Uncertainty Analysis of streaming data to enable decisions within fractions of a second. Managing the reliability and predictability of inherently imprecise data types. Terabytes to petabytes of data 3 Structured, unstructured, text, multimedia
  • 4. Big Data, or BIGGER Data? Source: From IDC 2011 Digital Universe Study
  • 6. So, • Big Data is being generated by everything, everywhere, all the time • Big Data is growing exponentially • Big Data is growing rapidly • Volume, Variety, Velocity, Veracity but most importantly, • Big Data is growing where we CANNOT CONTROL IT !!!
  • 8. Big Data is addressing key imperatives for Business Attract, grow, retain customers Optimize operations and reduce fraud • Acquisition • Global Operations • Personalization • Infrastructure & Asset Efficiency • Profitability • Retention • Fraud • Security Maximize insight and IT economics • Harness and Analyze all Data • Govern All Data • Analytical Workload Optimization • Spectrum of Analytics 8 Transform business performance • Financial and Operational Performance Create new business models • Data-driven Products and Services • Financial Risk • Non-traditional Partnerships • Operational Risk and Compliance • Mass Experimentation
  • 9. Racing to the cliff  More and more of critical business functions rely on Big Data  The quality of insights and value of Big Data comes from – access to more data (volume) – more sources (variety) – great speed (velocity) which drives business to expose themselves more and more to Big Data How do you protect the Business when more and more of your Business relies on data from the Internet?
  • 10. Problem? What problem? The reality today  Big Data is a nice to have  Insights are “improved” with Big Data, NOT driven by Big Data  Disruption/Disconnect is recoverable (run it again…later…) Remember another recent phenomenon that had similar characteristics about 15 years ago? The Internet!!!
  • 11. The imminent imperative  Big Data will become “business critical”  Reliable access to Big Data will become a “must have”  Data sources outside the Enterprise will be more valuable, and more critical than data sources from within the Enterprise  Down time and disruption of Big Data channels outside the Enterprise will have direct impact to the BOTTOM LINE What is needed  We need to identify strategies to “protect” external sources of data, despite those sources being external to the enterprise  We need to provide stability and continuity for the critical business functions that are more and more dependent on this external data.