making money with big data

+ SocialCloud

BigData

Making Money With Big Data

Mobile

6.14.2012

+Your Presenters

Curt Raffi - Host

Jeff Kaplan - THINKstrategies

Jason Mondanaro – MetraTech, Corp.

+What is big data?

Big datais 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.

+

Economic uncertainty

Key challenges

Escalating expectations

Changingworkplace

Growingcompetition

Key macro-market challenges driving demand

+Mobility, consumerization& the consumptive user

Every device

B2C & B2B

+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

+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.

+

User activity = insight

Turn every keystroke into strategic intelligence

+

Heuristics

+ aggregated metadata

= meaningful benchmark stats/KPIs

Acquire & analyze data to better serve customers

+Act upon customer data totarget strategic solutions

+Improve satisfaction & profitability

+

The ultimate competitive advantage

Result = better business relationships with customers

+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.

+Software is eating the world

+Redefining the value of data

Is data for emergencies only?

Is data for operational uses only?

+Why billing & big data?

People’s behavior can be modified.

Remember the whole supply and demand thing?

+The problem of not looking at data

Remember when ATT launched the iPhone?

Data was unlimited and somehow everyone was sad.

+Changing models

Consumption : fat data

Subscription : dumb data

+Billing big data makes an impact

+A3: The new model

• Enroll• Meter• Pay

Acquire

+Acquire

Build your business with measurement in mind.

Making good decisions requires information.

You don’t have information; you have acquired metered usage and

big data.

+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.

+Act

You aren't limited anymore.

Integrate with billing tools that can provide analysis of

your products, pricing & promotions.

+Next sessions

July 25Analyze your big data for maximum profit

August 22Act on pricing & product strategies out of the billing system to drive more revenue