Today’s online, mobile world has changed the way we consume services. Yet, regardless as to whether it’s subscription, consumption or multi-modal, today’s commerce generates enormous amounts of granular transactional data. The holy grail is how you leverage that underlying data to make more money.

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Making Social
Cloud
Money With Mobile
Big
Big Data Data
6.14.2012

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Your Presenters
 Curt Raffi - Host
 Jeff Kaplan - THINKstrategies
 Jason Mondanaro – MetraTech, Corp.

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What is big data?
Big data
is a loosely defined term used to
describe data sets so large that
they become awkward to work with
using traditional database
management techniques.
Difficulties include capture,
storage, search, sharing,
analysis and visualization.

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Key macro-market challenges
driving demand
Economic uncertainty
Changing Growing
Key challenges
workplace competition
Escalating expectations

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Mobility, consumerization
& the consumptive user
 Every device
 B2C & B2B

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Need to better understand
buyer/user
 Where, when, why they buy
 How they behave
 What they prefer
 When they are at risk
 How to retain them

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Convert data into insight
 Gartner predicts more than 85 percent of Fortune 500
organizations will fail to effectively exploit
big data for competitive advantage through 2015.

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Turn every keystroke into strategic
intelligence
User activity
= insight

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Acquire & analyze data to
better serve customers
Heuristics
+ aggregated
metadata
=meaningful
benchmark
stats/KPIs

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Act upon customer data to
target strategic solutions

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Improve satisfaction & profitability

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Result = better business
relationships with customers
The ultimate competitive advantage

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Why is data now big data?
 Has anything changed in data formats and sizes?
 MP3s/audio
 Web server logging
 Syslog and other app/device logging standards
 CDRs (classic, MPLS, custom, other…)
 EDI versus XML?
 No… But there is a lot more of it now.
 Why? Because software is eating the
world.

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Software is eating the world

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Redefining the value of data
 Is data for emergencies only?
 Is
data for
operational
uses only?

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Why billing & big data?
 People’s behavior can be modified.
 Remember the whole supply and demand
thing?

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The problem of not looking at data
 Remember when ATT launched the
iPhone?
 Data was unlimited and somehow everyone
was sad.

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Changing models
Subscription : dumb data
Consumption : fat data

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Billing big data makes an impact

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A3: The new model
• Enroll
Analyze • Price
• Meter • Test
• Pay • Analyze • Offer
• Refine
• Plan
Acquire Act

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Acquire
 business with
Build your
measurement in mind.
 Making good decisions requires
information.
 You don’t have information; you have
acquired metered usage and big
data.

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Analyze
“Compute as you go.”
 Slowly scouring your data for insights 24X7
 Data analysis done without hurting performance
 Adapt to user demands and continually improve pre-
calculation, pre-correlations.
 Put analysis tools in hands of decision-makers.

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Act
You aren't limited anymore.
 Integrate with billing tools that can provide analysis of your
products, pricing & promotions.

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Next sessions
July 25
Analyze your big
data for maximum profit
August 22
Act on pricing &
product strategies
out of the billing system to drive more
revenue