Big Data & Cloud Revenue Analytics

Scott SwartzFounder and CEOMetraTech Corp

Big data consists of data sets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing.

Defining Big Data

How Big Is Big Data?

2.5 quintillion bytes of data per day

98% of all data in the world today created in last

two years

Why Is Big Data Awkward?

Volume

Velocity Variety

TerabytesRecordsTransactionsTables, files

BatchNear real timeReal timeStreams

StructuredUnstructuredSemi structuredAll of the above

3Vs of Big

Data

Twitter, facebook,LinkedIn, Financial, Usage,

Cloud

Industries

Financial ServicesRisk & fraud, customer analytics

TransportationM2M, Internet of Things

TelecomCustomer profile monetization, revenue assurance

Digital MediaReal-time ad targeting, web analytics

Failure To Exploit

More than 85 percent of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage through 2015.

Lack Of Expertise

The United States alone faces a shortage of 140,000 to 190,000 people with analytical

expertise and 1.5 million managers and analysts with the skills to understand and make decisions

based on the analysis of big data.

Need To Better Understand CustomerHow, When, Where, Why they buy

How they behave, When they’re at risk

What they prefer

How to retain then

What’s The Point?

Big Data

Information

Knowledge

Action

Products / Services

How Much Data Is Too Much?

70% of sensory receptors in the human body are wired for visual input

Our eyes send 10 million bits per second of visual information to our brains for processing

So, Where’s Waldo?

Image copyright Where’s Waldo

Distill Data To Only What’s Important

Picasso Studying A Bull1. What message do you

want to tell?

2. Only present what's essential to the story.

3. Use Gestalt principles like shape and proximity to clarify and bring order to your data.

Image copyright Pablo Picasso

Apply Design And Psych Principles To Apps

Make the most important information stand out

Apply Design And Psych Principles To Apps

Only use color to highlight important metrics

Apply Design And Psych Principles To Apps

De-emphasize things that distract from the data, like labels

Apply Design And Psych Principles To Apps

Top 5 Most ImportantBig Data Sources

Big Data Sources

0%20%40%60%80%

100%

Source: Aberdeen Group, January 2012

Applying Big Data To Cloud CommerceWhat Is The Customer Likely To Want?

Item-Based Collaborative FilteringCustom

erProduct

AProduct B Product

C

John 1 0 0

Mary 1 0 1

Ana 0 1 0

Customers who buy K are likely to be interested in H, I, A, and D, in that order.

(Transactional data)

The next logical step

Big Data

4 billion transactions per day$1.66 quadrillion per year

Transactional Data Rounding

Launch Initial Adjusted0

200

400

600

800

1000

1200

Vancouver Stock Exchange, New Index 1982

Software Is Eating The World

User Activity + Analysis = Knowledge

Turn Keystrokes Into Knowledge

Why Billing & Big Data?

People’s behavior can be modified.

Remember the whole supply and demand thing?

The Problem Of Not Looking At Data

AT&T had a great unlimited data plan…

But data was unlimited & somehow everyone was sad.

You’ll Need Fat Data

Subscription : dumb data

Consumption : fat data

Unlimited

Grid

Colo.

Blockbuster

Shift Towards Consumptive Data

To Tiered

To Smart Grid

To Cloud

To Netflix

Tiered

Smart Grid

Cloud

Netflix

Reward Good Behavior Affinity group pricing Maximize LTV Partnerships

Real Virtual

Rewards

Rewards

Discounts

PointsIncentives

Cloud -The Perfect Use Case

“The ‘sweet spot’ for cloud-based analytics is the acquisition, management and retention of customers.”

Metanga: Big Data On Azure

Azure Data Centers

Azure Tables

Azure Service Bus

Hadoop On Azure

Converting Data Into Money

Customer Accounts and Subscriptions

Upsell

Reward

New Offer

TransactionalConsumption

DataAnalysis

Assure Revenue

Unstructured Data

And Ways To Visualize Data

Wrap Up

Visualization turns big data into knowledge

Architect to track user activity and consumption

Build your business with the concept of metering in mind

Leverage cloud to scale out big data

Use pricing, rewards, offers - drive customer & partner behavior

© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.