101 ab 1630-1700

1 © Copyright 2010 EMC Corporation. All rights reserved.

Documentum xCP 與大資料的應用

Anthony Ng, 黃獻順 EMC資訊智慧事業部亞太區技術經理


Business Transformation

• Create new growth vectors for the business

• “Cost Reduction” vs. “Value Innovation”

• Requires: – Focus on business outcomes

– Focus on what customers really want


Using Process to Manage

Silo’d Functional

Functions supported by processes

Processes supported by functions

From Traditional Line Management

To Processes & Services Management

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


BPM Maturity Model

Level 1 Initial

Basic Mgt Control

Level 2 Repeatable

Level 3 Defined

Level 4 Managed

Level 5 Optimized

Standardized Processes

Process Measurement

Culture of Optimization

Inconsistent Results

Work Unit Management

Business Management

Change Management

Capability Management

Increasing level of business value



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…


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



Big Data – What’s Different?

Source: 2011 IDC Digital Universe Study

Velocity

Variety

Volume


What’s Causing This Explosion?

Medical Imaging (PACS Data, Electronic

Patient Records)

Video Surveillance Growth Of

Mobile Users

Smart Devices (Smart Electric Grids,

Smart Buildings)

Non-Traditional IT Devices

(RFID Readers, Navigation Systems) Increased Access

To Broadband


How Can Big Data Transform Your Business? New Insights Delivered Faster, Better Recommendations

Less than 10% data available

Historical, incomplete, disjointed

“Rear-view Mirror” reports

All data from various sources

Real-time, correlated

“Forward-looking” recommendations

Today’s Decision Making Big Data Done Right


Old Analytic Processes

New Analytic Processes


Big Data Apps Require Big Data Analytics Your Approach To Business Analytics Must Change

Slow & Reactive

Limited Insight

Risky Shadow Repositories

Agile & Proactive

Expanded Insight & Correlation

Improved Compliance

Limited, Pre-Defined Expansive, Iterative


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


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


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


Action from Insight

External Sources

Loading, streaming, etc

Ingest Analyze Act

xCP


Sample Telematics Data Time DateFix Type Fix Status Address Speed Course IGN JID Battery LevelCharge LevelCoulomb Counter

18:54 JourneyEndOK The Ridings; Headington; Oxford OX3 9 0 0 FALSE 60540198 4.0655 0 1

18:53 ScheduledLocationOK The Ridings; Headington; Oxford OX3 9 0 0 TRUE 60540198 4.0655 0 1





18:49 ScheduledLocationHistoryOK The Ridings; Headington; Oxford OX3 9 0 0 TRUE 60540198 4.0655 0 1

18:49 InternalBatteryOffChargeInvalidGPSFixThe Ridings; Headington; Oxford OX3 9 0 0 TRUE 60540198 4.0655 0 1

18:48 ScheduledLocationInvalidGPSFixThe Ridings; Headington; Oxford OX3 9 21 156 TRUE 60540198 4.1125 4.914 1

18:47 ScheduledLocationOK The Ridings; Headington; Oxford OX3 9 21.1 160 TRUE 60540198 4.1125 4.914 1

18:46 ScheduledLocationOK 170 Old Rd; Oxford OX3 8 20.6 92 TRUE 60540198 4.089 4.914 1

18:45 ScheduledLocationOK 46 Wood Farm Rd; Headington; Oxford OX3 9 32.5 39 TRUE 60540198 4.089 4.914 1

18:44 ScheduledLocationOK The Slade; Headington; Oxford OX3 9 30.9 329 TRUE 60540198 4.089 4.914 1

18:43 ScheduledLocationOK Hollow Way; Oxford OX3 7 24.1 32 TRUE 60540198 4.089 4.797 1

18:42 ScheduledLocationOK 155 B4495; Oxford OX4 2 27.7 24 TRUE 60540198 4.089 4.914 1

18:41 ScheduledLocationOK Bennett Crescent; Cowley; Oxford OX4 2 1.6 0 TRUE 60540198 4.089 4.797 1

18:41 ScheduledLocationInvalidGPSFix31 Fern Hill Rd; Cowley; Oxford OX4 2 0 0 TRUE 60540198 4.089 4.914 1

18:41 JourneyStartHistoryInvalidGPSFix31 Fern Hill Rd; Cowley; Oxford OX4 2 0 0 TRUE 60540198 4.089 4.914 1

18:40 InternalBatteryOnChargeHistoryInvalidGPSFix31 Fern Hill Rd; Cowley; Oxford OX4 2 0 0 FALSE 0 4.089 4.914 1


Per

cent

of

Los

ses

Population (Sorted by Predicted Risk)

Big Data Enabled Insurance

Model Sourced From Progressive IR Meeting, June 2010


xCP and Big Data xCP 2.0, Document Sciences, Greenplum UAP

The New Developer The New User

The Data Scientist

xCP Application

Document Sciences xPression

Greenplum UAP

JDBC Data Service Web Service Data Service

xCP Designer

xPresso Designer


Act EMC Documentum xCP

EMC’s Big Data Stack

Analyze EMC Greenplum + Hadoop

Store EMC Isilon + Atmos

?

Petabyte Scale 1

Structured & Unstructured 2

Real Time 3

Collaborative 4


THANK YOU

101 ab 1630-1700

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