driving business momentum

Wipro Driving Business Momentum

Presented by

Dr Srinivasa VegiDW / BI Practice

CONFIDENTIAL© Copyright 2006 Wipro Ltd

BI / DW Trends


Market Scenario and Emerging Trends

BI Services Revenue By Region BI Services Revenue By Region

Gartner Data Quest: Forecast: Business Intelligence Solution Services, Worldwide, 2004-2010

Vertical Market Focus: Strategic Industries for BI ServicesVertical Market Focus: Strategic Industries for BI Services

Financial Services and Communications continue to be the top adopters of DW & BI

In 2006, Organizations are adopting Information Management (IM) as a comprehensive strategy for managing information and content

Through 2007, Increasing number of data quality improvement initiatives, driven by compliance pressure, desire for increased efficiency and agility, and a general "grass roots" dissatisfaction with the state of corporate data

By 2012, BI and Performance Management continuum will be integral to driving business transformations and improvements from the strategic process level

- Gartner 2006

Information Management, Performance Management becomes key strategic focus


Key Technology Trends

Key Performance Indicators displayed on a single screen with an ability to drill down at the details

Adop

tion

Adop

tion

Time to Maturity (Plateau of Productivity per Gartner’s Hype Cycle)Time to Maturity (Plateau of Productivity per Gartner’s Hype Cycle)0 – 2 Yrs 2 – 5 Yrs 5 - 10 Yrs

Creation of virtual databases via real-time access and integration of operational source data

Dashboards &Scorecards

Data Quality

Long overlooked as a critical factor in BI Success. Organizations are making the connection and are now placing a strong focus

Virtual Data Federation/ EIIPerformance Management

Includes all Methodologies, Metrics, Process required to manage performance

A notion of approaching “analytics” as a cross-disciplinary topic that transcends subject-areas and applications

Cross Enterprise Analytics

Web Services based architectures Callable BI Components, Networked BI applications aware of each-other

SOA Enabled BI

Hardware and DBMS integrated and packaged to provide support for BI applications

Data Warehouse Appliances

Involves complex statistical modeling for predictive analysis, data mining, applied analytics. Requires significant skills and competencies in data access and analysis. Advanced analytics experience renewed interest

Advanced Analytics

BI Technology available as part of the open source application development. It is an emerging area.

Open Source DBMS

CRM & Customer Intelligence

Intersection of CRM processes and BI. This aims to integrate disparate sets of data and analysis into a single solution. CDI, Analytical capability becomes a key differentiator


BI DW Hype Cycle


Enterprise Information Management Stack

Data Storage Mgmt. and ArchivalData Storage Mgmt. and Archival

Structured DataUnstructured Data, Content Services etc

Information Integration ServicesInformation Integration Services

ETL Services EAI Services EII Services

Master Data ServicesMaster Data Services

CustomerCentricity - SCV

Data Profiling &Data Quality

MetadataManagement

Information as a ServiceInformation as a Service

Reporting & Analysis Service Analytics Service

Portal & Content Management, WSDLs

etc

Target Business ProcessesTarget Business Processes

Data Mgmt., Provisioning etc

Proc

esse

s, C

OEs

and

Sol

utio

n Ac

cele

rato

rsPr

oces

ses,

CO

Es a

nd S

olut

ion

Acce

lera

tors

Custom Data ModelCustom Data Model[SCV for Insurance/ Retail Banking][SCV for Insurance/ Retail Banking]

Industry Data M

odelIndustry D

ata Model

[FSLDM

, IIW, BD

W, ID

W, O

FSLDM

][FSLD

M, IIW

, BDW

, IDW

, OFSLD

M]

Other Frameworks e.g. Test Data Mgmt.Other Frameworks e.g. Test Data Mgmt.[Test Data Mgmt., Data Maturity Assessment Model etc]][Test Data Mgmt., Data Maturity Assessment Model etc]]


Magic Quadrant for DW DBMS, 2006- Gartner


BI Analytics & Enterprise Reporting

BI Enterprise Reporting, Q1’06 - Forrester


Customer Data Integration

Multiple Point to Point Connections and Synchronization across multiple systems without a single central reference point

Customer Information Files / Limited ODS contain aggregates from limited number of systems and channels

• Continuous customer management represents the business strategy of how to collect, distribute, and use customer data in an organization to create value

• Customer hubs put CDI technology to use in order to achieve continuous customer management

Solution 1980’s

Early 1990’s

“Customer data integration (CDI) is a category of software infrastructure that operationalizes the acquisition, distribution &

management of customer information.”

NOW


Gartner and Forrester Speak

CIO Insight - Over Two Thirds of Global Fortune 2000 (68%) Companies are actively

evaluating one or more CDI Solutions at this time to reorient business strategies to

become customer-centric via a “Universal Customer View”.

Gartner - By 2008, 50 percent of large organizations with a heterogeneous customer data environment will begin to implement a solution for CDI.

Gartner - Through 2010, the creation of an accurate, timely and rich single view of

the customer across channels and lines of business (LOBs) will be a key enabler for

reducing costs, managing risk, and increasing revenue and profitability in customer-

centric organizations.


SCV Case Study - Main Business Driver

Customer Analytics1. 360º view of customers – across product lines2. Market Segmentation Analysis3. Analysis of buying patterns and preferences of customers4. Single repository of customer interactions across all touch

pointsChannel & Product Analytics1. Market penetrations 2. Performance appraisals of various channels3. Product Innovation and differentiation4. Marketing Campaigns with better targeting and improved

hit ratios


SCV Case Study - Solution Architecture

Employees

Annuities

Loans

Contacts

Agents

Claims

Single Customer

View

EDW

Teradata /InformaticaRoutines Tibco Layer

Finance

Marketing

Group

Sales

Actuarial

Policy Servicing

Product Management

IdentitySystems

Sources Data Marts BO Reporting

A-CRM

Policy

Group

Proposals

Quotations

Finance & Actuaries

Chordiant for Marketing

Customer Services

Risk & Compliance

Front End Application

STAGING

Planned


BI Implementation for Telecom Service Provider (TSP)


Introducing Wipro


BI / DW: Facets, Figures, Difference

Domains

Services

India’s first dedicated data warehousing team - now over 2600+ consultants

Pioneer in offshoring BI&DW projects

400+ projects for over 140 customers across industry segments

Facets

Differentiators BI&DW Specialists

aligned to Vertical Industries

Industry Solutions

Multiple end to end data warehousing engagements with team sizes ranging between 50-80

Onsite – offshore delivery of BI & DW projects ensuring cost savings of up to 35%

Proven process models

Ability to establish and deliver in a Solution Center Model

Alliances with leading BI & DW Vendors

Finance & Insurance

Retail, CPG & Distribution

Manufacturing

Energy & Utilities

Telecom

Healthcare

Transportation & Logistics

Enterprise BI & DW Consulting

BI & DW Design & Architecture

BI & DW Application Development

BI & DW Sustenance & Support

Managed Services Industry Solutions

Rated as one of the Top Challengers in Enterprise Analytic Consulting Services by META Group


Alliances / Tech. Relationships

Global premier partner

SAS quality partner

Value Added Reseller

Global consulting Partnership

Value added reseller and SI partner

Existing alliances

Enterprise Alliances

Global SI & Gold certified partner

SI partner

Global Strategic Alliance Partner

Preferred Global consulting Partner

Strategic SI Partner

Value added reseller and SI partner

Alliance Agreement

Alliance, reseller and SI Partner Cooperative Marketing

Agreement


Some thoughts

• Expectation Management is the #1 factor for Success or Failure

• Sponsorship at the Highest Level is an necessity• Stamp Out Scope Creep; Delicate balancing act in opening

phases (Responsive to User Needs or Scope Control)• Metadata Management; Technical & Business should be

planned for before initiation• Build to the lowest level of atomic detail from day one.

Otherwise, you’ll be back in 6 months building it.• Building a Data Warehouse is NOT the big job; Maintaining

a Data Warehouse IS the big job• Only sustainable metric is customer satisfaction. (Not how

many terabytes or how many queries per hour)

Key Takeaway: “If We Build It, They Will Come”; They might come, but they’ll also leave

WiproThank youwww.wipro.in

Corporate Office:Doddakannelli, Sarjapur Road,Bangalore-560 035, IndiaTel: 91-80-28440011Fax: 91-80-28440214

driving business momentum

Documents

data access

test data

data mining

bi services financial

regiongartner data quest

state of corporate data

disparate sets of data

target business processes