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Better Decisions With Big Data Enabled Applications

Rune Olsen Senior Systems Engineer EMC Information Intelligence Group

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Value Creation in the Information Economy

Strategic Business Transformation vs. Operational Efficiency

We have entered the era where information drives strategic transformation, not just operational

optimization

The Information Fabric must enable…

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Ad hoc customer

interactions

Production

Structured collaboration

Knowledge work is a different class of problem

Opportunity for differentiation

Distribution depends on

nature of work and culture

Fixed costs

Variable costs

Courtesy of Derek Miers, Principal Analyst, Forrester Research, 2012

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Big Data – What’s Different?

Source: 2011 IDC Digital Universe Study

Velocity

Variety

Volume

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The Journey To Big Data

Agile Analytics People & Productivity Focus

2 Data Science Collaboration Self-Service

Analytic Productivity Platform

Agile Process & Tools

3 Real Time Decisions New Applications Data Monetization

Predictive Enterprise Application Focus

Big Data Enabled Apps

All Data Faster Answers Elastic & Scalable

1

Big Data Infrastructure Technology Focus

Analytics Engines

Cloud Infrastructure

Analytic Engines

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Action from Insight

External Sources

Loading, streaming, etc

Ingest Analyze Act

xCP

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Documentum xCP: Action From Insight

Better, Faster Decisions

Deliver The Latest Data

Enable Contextual Decisions

Complete Audit Trail

Keep IT Audit Happy!

Reduce Information Risk

Easy To Build

A Tool For Non-Programmers!

Drag & Drop Process Modeling

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Sample Big Data Scenarios

AUTO INSURANCE IN P&C INSURANCE

LOAN PROCESSING IN BANKING

SMART GRID ANALYTICS IN UTILITIES/ENERGY

VIDEO ANALYTICS IN RETAIL

PROACTIVE EMERGENCY RESPONSE IN HEALTHCARE

REAL-TIME STATISTICAL PROCESS CONTROL

IN MANUFACTURING

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Big Data Transforms Retail Banking

“We leveraged the profitability system to analyze historical data and create a new set of assumptions for our loan officer.”

• Reduce customer attrition

– Proactive customer contact

• Increase revenue per customer

– Recommend products based on purchasing trends

• Improved operational efficiency

– Staff branches based on “who” banks “where”

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Big Data Enabled Underwriting Risk Level

LOW

HIGH

Underw

riting R

isk

Data Sources Leveraged in Loan Application and Underwriting Process

Loan Processing

Traditional Underwriting

Risk Level

TRADITIONAL DATA LEVERAGED BIG DATA LEVERAGED

2 to 3 weeks BIG DATA ENABLED

3 to 4 weeks TODAY

~30% TIME TO CLOSE IMPROVEMENT

AVERAGE TIME TO CLOSE A HOME LOAN

APPLICATION

STEP 1

PRE-APPROVAL

STEP 2

UNDERWRITING

STEP 3

CLOSING

STEP 4

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Auto Insurance

6 to 12 data points

1 to 8 data points

100 to 20,000 data points

10 to 1,000 data points

Application for Insurance

STEP 1

Credit Check

STEP 2

Telematics Integration

STEP 3

Social Graph Check

STEP 4

0%

100%

100%

Perc

ent

of Losses

Population (Sorted by Predicted Risk)

Model sourced from Progressive Investment Relation Meeting, June 2010

TYPICAL P&C PROVIDER TODAY BIG DATA ENABLED P&C PROVIDER

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Value Innovation

Cross-sell/ Upsell

Analyze large data sets for

lead generation

Rules-based and knowledge

worker identification of potential upsells

Better Decisions & Experience

Content analytics ensure

knowledge worker has best

information

More accurate approvals,

superior service, reduced risk

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CS

PROCESS

CONTENT

COLLABORATION

POLICIES

PEOPLE

DATA

IN CONTEXT CONTENT | PROCESS | ANALYTICS | INTERACTIONS

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Content and Analytics in Context

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Case Gives Deeper Understanding

Shared object model; heuristics and metrics are captured at each step in the process

Wealth Management Agent

Improved

Cross-sell/up-sell of additional products and

services

Loan Officer or Underwriter

Reduced risk; faster and more accurate

underwriting

Customer Service Representative

Better response to

offers; more competitive rates

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Opportunity: Give your work a GPS Goal-based routing / optimal path routing

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Optimal Path Routing

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Mortgage Application

Set-Up

Set-up the case

Offer Mortgage

Administer

Connected states

Validation

Optional fragments

Rethink how works gets done Case Management

Courtesy of Derek Miers, Principal Analyst, Forrester Research, 2012

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xCP

TOTAL SCAN TIME?

WHAT VALIDATION WAS NEEDED?

QUOTE INFO (MAKE, MODEL,

PRICE)?

HOW MANY ADDITIONAL

DOCS REQUIRED?

1 2

3 4

AGGREGATE DATA FROM MULTIPLE INSTANCES

Vision Scenario

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Greenplum

Vision Scenario

XCP GENERATES NEW

PROCESS SNIPPET

SELECT APPROPRIATE

PROCESS SNIPPET

xCP

DETERMINE OPTIMAL PATH

CONTINUOUS PROCESS

IMPROVEMENT

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Leadership Position in Gartner MQ for DWDBMS 2011 / 2012

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Invitasjon til EMC Forum

Norge 2012

Det er tid for transformasjon

IT + Business + Deg selv

Dato: 23 oktober 2012

Tid: 08:30 – 17:00