Download - Big Data and Cloud Analytics
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.