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1When Execution Matters(Confidential)
Big Data – Let’s Embrace It!
By Shilpi Sharma
Nov, 2012
2When Execution Matters(Confidential)
Topics Covered
V3 and Enablers
3Ts and Challenges
Use Case: Sales Enablement
3When Execution Matters(Confidential)
Big Data Characteristics – V3
As of 2012, about 2.5 exabytes of data are created each day, and that number is doubling every 40 months or so.
More data cross the internet every second than were stored in the entire internet just 20 years ago.
30Bn pieces of content shared on Facebook every month
A petabyte is one quadrillion bytes, or the equivalent of about 20 million filing cabinets’ worth of text.
An exabyte is 1,000 times that amount, or one billion gigabytes.
4When Execution Matters(Confidential)
What is Big Data?
5When Execution Matters(Confidential)
Key Enablers
6When Execution Matters(Confidential)
Key Enabler – Data Storage
7When Execution Matters(Confidential)
Key Enabler – Computation Capacity
8When Execution Matters(Confidential)
Key Enabler – Data Availability
9When Execution Matters(Confidential)
Key Drivers – Internet of Things & Big Data
18% of 2B electricity utility meters are smart meters
50B+Intelligent machines fighting for bandwidth by 2020
10When Execution Matters(Confidential)
Gartner Emerging Technologies Hype Cycle 2012
Investments in Big Data Infrastructure (2009-2011)
$5B+
11When Execution Matters(Confidential)
Industry SectorsRich in Big Data
12When Execution Matters(Confidential)
Value Potential Across Sectors
For Hi-Tech Companies, Big Data is generated from Value Chain
13When Execution Matters(Confidential)
Readiness Across Sectors
Information is the only industry that will get most value from Big Data with ease.
14When Execution Matters(Confidential)
Big Data – 3TsTechnologies, Techniques & Talent
15When Execution Matters(Confidential)
Big Data Technologies
Where processing is hosted?Distributed Servers/Cloud (e.g. Amazon EC2)
Where data is stored?Distributed Storage (e.g. Hadoop DFS)
What is programming model?Distributed Processing (e.g. MapReduce)
How data is stored& indexed?High-performance schema-free database (e.g. Cassandra)
What operations are performed?Data Analytics, Semantic Processing (e.g. R)
16When Execution Matters(Confidential)
Big Data TechniquesA set of techniques to extract patterns from large datasets by combining methods from statistics and machine learning with database management. Few examples:
Supervised Learning – Support Vector Machine Unsupervised learning – Cluster Analysis Data fusion – Signal processing, Natural Language
Processing Optimization – Genetic Algorithm, Neural Networks Predictive Modeling – Regression, Time Series Analysis
17When Execution Matters(Confidential)
Big Data Talent
18When Execution Matters(Confidential)
Big Data Value Chain
Smart Sampling of Data
Finding similar items
Building Models and incremental updating of models
Aggregate
Data
Analyze
Data
Consume
DataDerive Value
Data Integration (from multiple sources)
Data harmonization (multi-rate, noisy, missing)
Data Classification
Visualization Connect the dots (Actionable Insights)
Change Management
Data Policy & Governance
Technology Management
19When Execution Matters(Confidential)
Big Data – Management Challenges
Decision Making
Shortage of Skills
Change Management
Big data brings the potential for transformation, not the actual transformation
Clash of Technologies
20When Execution Matters(Confidential)
Food for Thought
21When Execution Matters(Confidential)
Take an example – A Client MeetingTypes of Data:
Internal Information: Company, Presentations, collateral, pricing, contracts
Personal Information: Territory assignment, Goal Attainment, Past interactions with customer
External Information: Company, People, Competition, Market
Data Sources:Suddenly you are going from a few office documents to hundreds of files and channels that are being continually updated.
Static like a webpage, personal profile, competitive cheat sheet
Dynamic like a YouTube channel demonstrating a competitor’s product, a blog reviewing an announcement, or twitter channel
22When Execution Matters(Confidential)
Some Facts $135,262 – Average support costs per year for each
salesperson
7 hours/week - Average salesperson spends looking for relevant information to prepare for sales calls
50% of the information is pushed through email; only 10% is made available in a useful format
Source: Forrester Research & IDC Sales Advisory Service
23When Execution Matters(Confidential)
Big Data Application
Connect the dots across internal and external data for sales professional What has been sold at client? How it has been working? Where the industry is moving? What are top challenges for
the decision makers? How does it connect to product portfolio you are selling?
What has been the buying pattern at client? Any new insights based on Install Base?
Win More Deals, Increase Productivity, Sell Smarter
24When Execution Matters(Confidential)