13-DW_at_Wipro

DWH at WIPRODWH at WIPRO

Last Updated : May 26, 2003

Center of Excellence

Data Warehousing

1. Service Offerings

2. Insta Intelligence Expertise

3. How we do it Methodologies & frameworks

4. Client Engagements Experience

5. Case Studies

ObjectivesObjectives

Insta Intelligence Solutions

Get the Full picture

Insta Intelligence Solutions

Get the Full picture

Data Information Intelligence Competitive edge

______ Services offered by us currently to our customers………. Enhancing Focus ,Enterprise – BI Consulting in 02-03 ……….. Managed services in 02-03.

BI Worldwide IT services Market SizeBI Worldwide IT services Market Size

* Gartner Report, Aug, 2001

By 2002, 50 percent of IT services providers will incorporate the operational value of BI

functionality into their go-to-market strategies.

By 2003, BI functionality will be one of the most heavily weighted criteria enterprises

consider when evaluating potential IT solutions.

By 2003, enterprises will treat BI expenditure as a competitive

necessity and an indispensable cost of doing business.

By 2004, 50 percent of Global 2000 companies will have a corporate wide BI strategy Through 2006 , enterprises that implement BI initiatives using a BI framework will

experience a return at least 2 to 3 times greater than those who do not

By 2005, BI will be used by 70 percent of corporate end users in midsize and large

enterprises.

BI Market trendsBI Market trends

Our Services…02-03Our Services…02-03

Architect

Consulting

Manage

Integrate

• BI & DW Solution Framework

• Business & Information Analysis

• Roadmap for Implementation

• DW Project Management

• Tool Evaluation . PoC

• Data Modeling

• DWH Application

• ETL Architecture

• Technical Architecture

• Metadata Management

• Data Quality

• Design Implementation

• Development & Deployment• Data Warehouse Administration

• Capacity Planning

• Data Warehouse Audit

• Performance Tuning

• Data Warehouse Maintenance

End to EndBusiness Intelligence

&Data Warehousing

Solutions

• Enterprise BI Consulting• EDW Programs• SI-End to End Solutions including Hardware,Software & Services• Managed Services

New Services 02-03

SI Experience– e.g. 186k, Cerner, Vectren Source, Spectra Sight (Transco)

BI&DW Competency/Solutions –02-03BI&DW Competency/Solutions –02-03

BI&DW ProcessesProcess Models for Consulting and Program/Project Management

Enabling Execution

BI & DW Infrastructure ETL, DBMS,Data Modelling, Data Quality, Metadata

Generating Efficiency and Flexibility

BI & DW Access BI tools and applications, Enterprise BI suites, Query and Reporting– Standard/Adhoc,

Generating analysis for effective action

Specialized BI&DW

Solutions

Enterprise BI

Consulting

CRM DW e-Biz Intelligence Data Mining Teradata - for

Large DWs ERP/SCM DW

Consulting services for Enterprise BI framework

BI application Roadmap

Industry Specific

Applications

Managed BI & DW Services

Portfolio Mgmt Asset Mgmt Claims Mgmt

BI Application Dev. & Mgmt

DW Systems Admin & Mgmt.

Offshore/Offsite model

Delivering Value – A Snapshot SummaryDelivering Value – A Snapshot Summary

Experience 550+ BI/DW consultants Worked with 45 high profile customers across verticals across geographies Leveraging business partnerships with key BI/DW players

Execution Successful execution of End to End BI/DW projects In-house Data warehouse development Process Model to address the

challenges of DW/BI assignments Customer Satisfaction Index of 5.0 on 5.0 in two recent CSAT surveys On-site / Off-shore Execution model for speedy, cost effective BI/DW

solutions Dedicated BI/DW “Centre of Excellence” for focused technology offerings

60

100

175

300

0

50

100

150

200

250

300

350

1998-99 1999-00 2000-01 2001-02

Growth in BI & DW consultants

"Farmers has repeatedly benefited from Wipro’s abilities to deliver IT solutions using their unique onsite/offshore fix-priced development model"

Scott BeanProject Manager - BI&DW, Farmers Insurance

Services MapServices Map

Specialized Offerings Industry Focus

Data Mining

ERP DW & SCM Analytics

Analytical CRM

e-Business Analytics

BIP

NCR TeraData

Re-Architect BI/DW solutions

Retail & Logistics

Finance

Insurance

Utilities

Manufacturing

Healthcare

Telecom

GovernmentGovernment

Consult Architect Integrate Manage BI & DW Solution

Framework Business &

Information Analysis

Roadmap for Implementation

DW Project Management

Data Modeling DWH Application ETL Architecture Technical

Architecture Metadata

Management Tool Evaluation Proof of Concept

Design Implementation

Development & Deployment

Data Warehouse Administration

Capacity Planning Data Warehouse

Audit Performance

Tuning Data Warehouse

Maintenance Managed DW

Services

=+

Specialized Offering--Data Mining ServicesSpecialized Offering--Data Mining Services

Data Mining is a process of using “Technology” to discover & interpret patterns in Data to solve business problems

Wipro’s offeringsWipro’s offerings

Framework and methodology for offering the following services:

•Proof of Concepts

•Data mining tools evaluation for various

applications

•Data mining solution implementations

Turns raw data into business goldTurns raw data into business gold

Specialized Offering-- CybermineSpecialized Offering-- Cybermine

An e-Business Intelligence solution

from Wipro based on Web housing and Web Mining

Applications:Applications:

e-Customer Profiling

e-Personalization

e-Marketing

e-Selling

e-Site Management

Providing Insights. Forging RelationshipsProviding Insights. Forging Relationships

Specialized Offering--Cyber Mine ArchitectureSpecialized Offering--Cyber Mine Architecture

Enterprise Warehouse

e-Personalization

Data Storage & Integration Data Analysis and Reporting

The Internet

Visitors

Web Browsers

Click-stream Data

Extraction Transformation and

Loading

ETL Tools

Web Site

TCP/IP Data Collection, plug-ins

Web Server Logs

External Data – Demographics,

Household,Webographics,

Income

Meta Data

Web Data Mart

Other Data Marts

Load Data

Data Visualization

OLAP Reports

Data Mining

Data Access Tools

OLAP Tools

Data Mining Tools

Customer Registration

Forms

Data Collection

Web Server

Rules from data mining

e-Customer Profiling

e-selling

e-Marketing

E-com Transactions

Data Cleaning & ETL

Transforming browsers to buyersTransforming browsers to buyers

E-Operations

E-Customer Analytics

E-Personalization

E-Marketing

E-Selling

E-Support

eCustomer Analytics

• Customer Profiling

• Customer Profitability Analysis

• Customer Attrition/ Retention Analysis

• RFM Analysis

• Relationship Analysis

eMarketing

• Target Marketing

• Lead Qualification

• Campaign Effectiveness

• Market Segmentation

• Product/Catalog ManagementeSelling

• Sales Volume/ Revenue Analysis

• Cross-sell/ Up-sell Opportunity Identification

• Customer Purchase Propensity

• Shopping Cart Analysis

• Sales Organization Performance Analysis

eSupport

• Customer Satisfaction Analysis

• Customer Complaint Analysis

• Service Analysis

• Customer Contact Analysis

• Customer Inquiry Analysis

eOperations • Site Navigation Analysis

• Referrer Analysis

• Keyword Analysis

• Site Optimization

• Error Analysis

ePersonalization

• Content Personalization

• Customized Products/Services

• Preference Analysis

• Personalization Business Rule Generation

• Rule Performance Evaluation

Specialized Offering-- CyberMine ApplicationsSpecialized Offering-- CyberMine Applications

E-business IntelligenceE-business Intelligence

Specialized Offering-- BI & DW for CRMSpecialized Offering-- BI & DW for CRM

Analysis of data created on the operational side of the CRM for the purpose of business performance management.

Involves data extraction from multiple sources

Data warehouse modeled in a customer-centric form

Challenges in integrating the data (Eg: Usually no

unique identifier for a customer).

Uses Data Mining & OLAP for analysis

The hottest Business Intelligence solutionThe hottest Business Intelligence solution

Specialized Offering-- A-CRM ApplicationsSpecialized Offering-- A-CRM Applications

When CRM Meets Data WarehousingWhen CRM Meets Data Warehousing

Customer ProfilingCustomer segmentationCross-sell opportunity identificationMarket Basket AnalysisChurn AnalysisRecency, Frequency, and monetary (RFM)

analysisFulfillment delay impact analysis

Specialized Offering-- Typical A-CRM architectureSpecialized Offering-- Typical A-CRM architecture

Standard Reporting

Data Mining

OLAP Analysis

OPERATIONAL SYSTEMS

Legacy systems

ERP Applications

Operational CRM

Front-office automations

Merge Clean Extract

TransformLoad

Customer Centric

DataWarehouse

Demographic data

Campaign Management

Operational Data Store

Data Mart

Data Mart

Merge Clean Extract

TransformLoad

Meta Data

FeedbackLoop

Specialized Offering-- Business Intelligence PortalsSpecialized Offering-- Business Intelligence PortalsReporting and OLAP via WebSingle window for all BI applications Information Directory - metadataBroadcasting functionalitySubscribe/Publish featureImplementation of leading products:

Brio.Portal from Brio Technology Infoview from Business Objects MineShare Information Portal from Mineshare Eureka: Suite from Sterling

BI PortalsBI PortalsBI PortalsBI Portals

Web Access to Business IntelligenceWeb Access to Business Intelligence

Specialized Offering-- DW for ERP Integration.Specialized Offering-- DW for ERP Integration.ERP Benefits cycle-time reductions and

not information availabilityIntegrated data still elusiveTo maximize the ROI from ERP system

Align ERP & EDW to avoid information ‘black-holes’Align ERP & EDW to avoid information ‘black-holes’

Framework to integrate ERP data to data warehouse to address analytical requirements

Specialized Offering-- ERP Data Warehouse (Contd…)Specialized Offering-- ERP Data Warehouse (Contd…)

M E T A D A T A

DATA STORAGE

ERP

CRM

SCM

LegacySystems

Web Data

External Data

SOURCE SYSTEMS

ETL &DATA CLEANSING

ExtractExtractTransformTransformLoadLoad

STAGING

AREA

EnterpriseData

Warehouse

HR

Sales

HR Sales Mktg

DATA MARTS

ODS

EnterpriseData

Warehouse

HR

Sales

HR Sales Mktg

DATA MARTS

EnterpriseData

Warehouse

HR

Sales

ODS

DATA ANALYSIS & REPORTING

Data Visualization

OLAP Reports

Data Mining

Data Visualization

OLAP Reports

Data Mining

Specialized Offering-- Technology Expertise – 1/2Specialized Offering-- Technology Expertise – 1/2

ETL &DATA CLEANSING

M E T A D A T A

DATA STORAGE

ERP

CRM

SCM

LegacySystems

Web Data

External Data

SOURCE SYSTEMS

ExtractExtractTransformTransformLoadLoad

STAGING

AREA

EnterpriseData

Warehouse

HR

Sales

HR Sales Mktg

DATA MARTS

ODS

EnterpriseData

Warehouse

HR

Sales

HR Sales Mktg

DATA MARTS

EnterpriseData

Warehouse

HR

Sales

ODS

DATA ANALYSIS & REPORTING

Data Visualization

OLAP Reports

Data Mining

Data Visualization

OLAP Reports

Data Mining

Informatica

Constellar

Cognos Decision Stream

MS DTS

Data stage

SAS

Oracle

Warehouse

Builder

Informatica

Constellar

Cognos Decision Stream

MS DTS

Data stage

SAS

Oracle

Warehouse

Builder

PowersoftWarehouse Architect

ERWINOracle Designer

DATA MODELLING

DATA MANAGEMENT

OracleSQL Server

TeradataSybase

DB2Informix

OLAP

EssBaseBusiness Objects

CognosBrio

MicroStrategyMS OLAP

Seagate Holos/InfoOracle Express

SAS E-MinerBusiness Miner

SPSS ClementineIBM Intelligent Miner

SGI MinesetCognos Scenario

DATA MINING

Oracle DM Suite SAP BIW IBM Visual Warehouse Oracle DM Suite SAP BIW IBM Visual WarehouseDW/DM SUITES

SAS Platinum Repository PrismSAS Platinum Repository PrismMETA DATA

Specialized Offering-- Technology Expertise – 2/2Specialized Offering-- Technology Expertise – 2/2

Business Alliances / Tech. RelationshipsBusiness Alliances / Tech. Relationships

Our ClientsOur Clients

BI&DWMethodologies and Frameworks

BI&DWMethodologies and Frameworks

PlanningPlanning

Client ReadinessReadiness

Project Start-upProject Start-up

Business AnalysisBusiness Analysis

Information AnalysisInformation Analysis

Requirement Requirement SpecificationSpecification

ArchitectureArchitecture

Data Model

Technical Architecture

Application Architecture

ETL Architecture

Build Plan

ImplementationImplementation

Physical Database Build

ETL Build

End User App. Build

Testing

User Acceptance

Addresses the unique challenges of a data warehousing project Addresses the unique challenges of a data warehousing project

Data Warehouse Development Process Model Data Warehouse Development Process Model

Data Warehouse Development Process ModelData Warehouse Development Process Model

Addresses the unique challenges of a data warehousing project Addresses the unique challenges of a data warehousing project

SOW Contract

Review RSPrepare RS

Approved RS

Approved RS

ReviewPrepare Architecture

Arche. Doc

ApprovedArche. Doc

DetailedDesign Review

DetailedDesign doc

Approveddesign

CodingUnit Test

Unit Testedcode

Unit Testedcode

Testing

Test Audit

Client Deliverable

Requirement Study

Architecture

Detailed Design

Development

Testing

Iterative Development ProcessFor Incrementi

Increment1

Increment2

Increment1

Onsite-Offshore Delivery ModelOnsite-Offshore Delivery Model

Project ManagerOn-Site

Customer Project

Coordinator

Offshore Team

Data Quality

Analysts

Data Acquisition Developer

s

Data Access

Developers

Meta data Developers

Project LeaderOffshore

Data Warehouse Architect

Data Modeling

team

Database Administrator

Tool Experts

QualityAssurance

Requirements Collection Team

Allows us to deliver an onsite / offshore effort split of around 25/75 to several of our clientsAllows us to deliver an onsite / offshore effort split of around 25/75 to several of our clients

Project LeaderOffshore

Operational Systems

Analytical CRMCall Centers

Customer Profiling

Profitability Analysis

Customer Service

E-commerce

SFA

Campaign Management

ERP

Needs Analysis

Sales Analysis

Risk Analysis

Click stream Analysis

Behavioral Modeling

Integrated Customer View

Reach & Selection

Acquisition

Conversion

Retention & Expansion

Customer Lifecycle

Key Features

Tool independent Customer Centric

Solution framework

Customer centric Data Models for vertical

industries

ODS and customer centric DW to handle

synchronous & asynchronous touch points

A methodology and framework for:

Data Integration

Data Cleansing and ETL for fuzzy Match &

Merge, synchronization

Data Access, Analysis and Reporting

An evolved process model for building

and implementing the solution

Wipro A-CRM FrameworkWipro A-CRM Framework

CRM Data WarehouseCRM Data Warehouse

Customer intelligence anchored on Data Warehouse & BI applications that integrate customer-centric processes based on Engage, Transact, Fulfill, and Service life-cycle.

Service Offering Customer centric Data Warehousing consulting,

development and deployment services for enabling analysis across the Customer lifecycle

Target Market

Organizations With

Large Customer base-primarily consumer Multiple channels of customer interaction

Implemented/Implementing CRM applications

Evolved & Mature Customer service systems

Evaluating packaged DW applications like Epiphany

Experience : 186k,Radianz & Pacific corp.

■ Specifically focus within Customer oriented verticals like Retail (mediators), Retail Insurance, Retail Banking, Telecom, Manufacturing, Logistics

Available Artifacts Telecom TOM based ACRM data

model

Telecom TOM based reporting catalogue

Utilities ACRM data model

Framework for Siebel & Clarify based A-CRM analytics

Industry specific A-CRM framework documents for Utilities, Telecom, Insurance, Retail Banking, e-governance

e-business Analytics e-business Analytics

Product independent E-business Analytics Solution framework

A Generic and highly customizable customer centric Data Model

A methodology and framework for:– Data Integration– Data Cleansing and ETL– Data Access, Analysis and Reporting

Manage, Administer & Maintain End-to-End BI/Data Warehouse Applications and Infrastructure

Application Management and Support

Development & Enhancements

Maintenance and Service Request Management

Project Management

Data Integrity/Quality

User Training and Support

24X7 on call Application Support

Meta Data Definition

Archive & Purge of Data

New technology/tool introduction

Application Performance Tuning

Quality Assurance

Integration of third party solutions

Infrastructure Management

Own, Manage Hardware, Communication Links and System Software

Production Monitoring and Scheduling

Facility Management & Computer Operations

Data Integrity and Management

Database Administration

24X7 on call Operations Support

Capacity Planning

Configuration Management

Security Management

Disk / Tape Management

Back up & Restore

Disaster Recovery

Managed Service OfferingsManaged Service Offerings

Key Features Total ownership on facility, hardware, platforms, O/S, software tools and

applications

SLA driven, long term relationships

Reduction of cost of ownership year by year by 20% to 40%

Flexible execution models – onsite, offsite, onsite/offsite-offshore

Well defined frameworks to manage transitions smoothly

Promote DW among user community, increase usage & there by returns

Business Potential Customer spends on an average 1M USD/year to manage a medium size

DW/Data Mart

Each deal would be of size 1M USD/year with 3-5 year agreement Seagate has 20 Data Marts

GM- 5 M USD – 3 year Contract for managing Finance DW

Managed Service Offerings --What does this mean?Managed Service Offerings --What does this mean?

DomainPlatform

InfrastructureComm Links

Application

Support

Program Mgmt

Domain Knowledge

Sys Admin

Operations

Desktop / Server

Management

Backup & Restore

DR & Security

Process Definition

Network Planning & Setup

Network Management

Network Admin

Network Security

Process Definition

Framework & Process

Solution Definition

Transition Planning

DW Alliances & Partnerships

Training & Education

Vendor/ other supplier Interfaces

Tools Expertise

Application Architecture

Database design & Modeling

Data Quality

Integration with other s/w

Application Security

Process Definition

DW Managed Services Practice

Vertical TIS TIS DW Delivery & COE teams

DW Managed Services – Delivery ModelDW Managed Services – Delivery Model

Without EBI/EDW Strategy

Lack of alignment with business drivers and processes

Multiple technology integration

Poorly leveraged technology investment

Staff trained in a wide range of technologies

Increased Cost of Ownership

Scattered Information and Multiple Entry Points for Users

With EBI/EDW Strategy

Alignment with business drivers and processes Enterprise data source

Approved technologies meet architectural integration specifications

Current and future technology investments maximized

Core competencies in standard technologies.

Reduced TOC in a controlled environment with well-defined ROI

Streamlined Information Flow with Enriched User Experience

Key DifferentiatorsKey Differentiators

Enterprise BI Strategy Enterprise BI Strategy

Offering :Provide ‘Enterprise Business Intelligence’ (E-BI) consulting services to deliver a E-Business Intelligence (E-BI) Framework.

Scenario* :

Through 2005, Global 2000 enterprises will adopt a staggering amount of disparate and unrelated BI technologies, largely through applications, adding to BI fragmentation in enterprises (0.7 probability).

* From Gartner Report, July 2001

To prevent the fragmentation, there is a clear need for Enterprise BI Framework

Enterprise BI FrameworkBusiness Need Enterprise BI FrameworkBusiness Need

Wipro’s E - BI Consulting FrameworkWipro’s E - BI Consulting Framework

Methodologies & Process Models

Ready-to-Use Frameworks

Enterprise BI strategy

Technology Strategy

Conceptual Architecture

BI Application Roadmap

RFI/RFP Formulation

Enterprise BI strategy

Technology Strategy

Conceptual Architecture

BI Application Roadmap

RFI/RFP Formulation

Application Architecture

Information Architecture

Metadata Architecture

Security Architecture

Technical Architecture

Enterprise Data Modeling

Architecture Auditing

Data Quality Metadata Management Data MigrationData Quality Metadata Management Data Migration

Analytical CRM Analytical SCM ERP DW e-Business AnalyticsAnalytical CRM Analytical SCM ERP DW e-Business Analytics

Need Assessment

Readiness Assessment

Gap Analysis

Business CasePreparation

AssessAssess StrategizeStrategize ArchitectArchitect

Ready-to-Use Frameworks

Methodologies & Process Models

Define a E-BI application framework: Identify the

metrics and management/ monitoring techniques used to

manage all areas of the business.

Build a E-BI Applications Road Map: Derived from the E-BI

application framework. An example road map as

shown

The road map and framework are not static. They are to be

constantly reviewed and updated as business

conditions and needs change.

Adapted from Gartner Report, July 2001

The EBI Framework – An ExampleThe EBI Framework – An Example

Focus on methodologies and process models

Project Mentoring

Prototype Development

Tool evaluation

Architecture review and data warehouse performance audit for clients

Technical white papers on technology

Wipro white-papers used for industry references/customersWipro white-papers used for industry references/customers

COE (Center of Excellence)COE (Center of Excellence)

DW/BI COE - TechnologyDW/BI COE - Technology

Category Tools AlliancesETL Informatica

DecisionStream ActaWorks Constellar MS DTS

Informatica Cognos Acta

OLAP Cognos Suite MicroStrategy Brio Business Objects Oracle Express

CognosMicroStrategy Business Objects

Data Modeling Erwin/ModelMart Powersoft Warehouse Architect Oracle Designer

CA

Data Management Oracle MS SQL Server Teradata DB2/UDB

Metadata Repository Platinum Repository

Packaged Solutions SAP BIW

Client EngagementsClient Engagements

Banking & Financial Services

Insurance

Retail

Manufacturing

Media & Publishing

Energy & Utilities

Government

Travel & Leisure

Transportation Telecom

Case Studies...Case Studies...

End to end data warehouse implementation Large US based Insurance Company

End to end data warehouse implementation Large US based Insurance Company

Business Objective To implement a CRM solution & to

transform from a mere claims handling and adjusting organization to highly customer focused organization by reducing customer response time.

Create a Decision Support , Management Reporting and Analysis Environment for claims analysis

Wipro’s Contribution Fixed Price project. Wipro’s

Increment/Iterative model to deliver in short phases.

End to End Data BI/DW Implementation Phase 1: Design and develop reports

as required by the customer Phase 2:Based on business discovery

study and interactions with 10 business groups in the claims department, Wipro suggested a Business Intelligence solution

Key Highlights Project was showcased in

Cognos User group conference as the best in its category

Providing seamless support to field users

Greater flexibility for analysis and faster report generation

Implemented a system with scalable architecture for future expansion

Business & IT Consulting – A Logistics major in USBusiness & IT Consulting – A Logistics major in USBusiness Objective Integrate & simplify complex logistics

operations globally including order fulfillment, transportation, storage and distribution.

Track Capacity management and cost of delivery

Wipro’s Contribution Business & IT consulting for the client. After a Business Discovery process,

Wipro prepared a business case for DWH.

Charted out a roadmap for the DWH architecture and implementation

Gave recommendations on the architecture and tools

Project Management, Design and implementation of ODS and Data mart for Transportation Subject Area

Key Highlights Provided consistent and

timely information on the following business drivers – time delivery, carrier compliance, supplier reliability, customer profitability & supply chain visibility

Enhanced customer satisfaction providing ready access to shipment information

Project completed in under 5 months

Generating Cost SavingsGenerating Cost Savings

A Leading Water Utility

Need Improve understanding of costs incurred, value

created pricing and existence of cross subsidies. Need for information in profitability analysis &

pricing analysis, competitive positioning Solution Design & Development of the profitability analysis

data mart and ETL architecture Currently providing support to 3 other data marts

besides the profitability data mart using Wipro’s onsite/offshore model

A scalable architecture for enabling new BI apps in future

0102030405060708090

100

Regulardevelopment

Cost

40% cost savings

Wipro ShoreGain advantage

Fortune 100 Power Equipment Manufacturer Need

■ Implement “One Company” concept. No single source of consolidated sourcing information

■ Need of BI/DW system for Strategic Sourcing, Business Metrics, Employee ODS, 360 Degree View of Customer, Customer Site Delay Tracking

Solution

■ Participated in the design, which follows the Corporate Information Factory architecture

■ Technical and Infrastructure Architecture , Development and Implementation

Key Highlights Average savings of $100M on an

yearly transaction value of $ 6 Billion by the strategic sourcing effort

Single source of consolidated sourcing information across the organization

Use of re-usable components to achieve significant effort reduction

Business Objectives: Develop the Information

Base(RIB) infrastructure for Customer centric analysis and reporting to Enterprise wide data visibility

and reporting. Provide web based enterprise

wide reporting via a portal Support plug & play

architecture for OSS/BSS systems.

Support one time data input capability e.g. Customer information entered once enterprise wide.

Project Highlights■ Phase 1 – ODS under

construction■ Onsite model for Phase 1

Wipro Solution An on-site scoping study to

understand the complexities of the project

Consultancy to educate the IT/Business sponsors Joint development of internal

business case for RIB Business/IT users - Case study

presentations & inputs from TOM based MIS catalogue

Joint development of Business Requirements Document

Construction of an ODS followed by a customer data warehouse

A-CRM DW Large Telecom Service Provider in the Financial Sector - US

A-CRM DW Large Telecom Service Provider in the Financial Sector - US

E-Business Intelligence SystemA Global Technology LeaderE-Business Intelligence SystemA Global Technology Leader

Business Objectives: Provide the necessary

intelligence and the resulting definition of projects to double conversion rate on the Web. Conversion rate: Ratio of buyers

to browsers Metrics: Conversion rate at

beginning of program was approx. 0.25% for NA public stores. Goal is to reach 0.50%

Wipro solution Understand the existing EBI system

and Provide Consulting services to Augment existing analytics for web

based Sales, Marketing efforts in NA Instrument, analyze and provide

needed insights to increase B2B revenues

Package analytics and implement worldwide starting with APD

Key Highlights 7 Consultants Long term

on-site ‘Sand box’ environment –

Consulting, Conceptualizing, prototyping, Documenting

EBI ‘Sand Box’ Process

Enterprise Data WarehouseLarge Asset Management CompanyEnterprise Data WarehouseLarge Asset Management Company

Business Objective To provide a Global Operational Data Storage where all portfolio

management data is consolidated in a Centralized Repository. Wipro’s Contribution

Strategic Partner Solution Strategy and Architecture

Analysis of the existing source Systems and extraction. Exception reporting, correction and reconciliation reports for the ETL

process. Data Modeling and design and creation of a data mart for downstream

applications Build, Deploy and Support Applications Tools Evaluation for downstream applications and design and development

of reports E-Architecture finalization for ad-hoc analyses and report publication.

Key Highlights Infrastructure approach to implementation Sources distributed globally VLDB – Over 1TB of data Onsite / Offshore ratio of ~ 1:1 Multi skilled team of ~ 30 ramped up in 3 months

DownstreamApplications

Source Systems

Datafor

loading

Staging Area

New YorkLondonFrankfurtPhiladelphia

GDH

Enterprise Data Warehouse

Web ApplicationServer

ApacheWeb Server

LDAP

Reporting Tools

BusinessObjectsOracle Express

WebReporting

Source System Data Load Layer

Application and Security Layer

Work BenchPresentation Layer

Metadata Layer

Enterprise Warehouse ArchitectureEnterprise Warehouse Architecture

Objective: Develop a decision support system to analyze ■ Customer profitability■ Network performance■ SLA, QoS monitoring■ Revenue Assurance

Key Highlights■ Implemented with the complete OSS/BSS system based on the TOM

model■ Customer centric data warehouse for advanced customer analysis■ Near real time Operational cross-functional reporting through an

ODS■ Cognos integration with Websecure Single sign-on system

Data Sources ■ Clarify, Portal Infranet/interconnect, Xacct, Astracon, Smallworld,

Netcool Omnibus, NPPR

Technology■ Oracle DBMS, Cognos Powerplay, Impromptu, IWR and Upfront■ Database on Sun Solaris■ Sun E10K environment Claims Processing Application

Large Telco Infrastructure Company - UKLarge Telco Infrastructure Company - UK

ArchitectureArchitecture

Oracle 8i Solaris 2.6

Infranet

Xacct

Billing

Astracon

Small World

SP

Netcool

Clarify

CRM

Source Systems

Data Acquisition Layer

Informatica Designer

Informatica Repository Manager

Informatica Server Manager

ETL

Analytical CRM

Repository

Cognos Impromptu Web Reports (IWR)

WEB

PORTAL

WEB

SECURE

Cognos Upfront Web Portal

Cognos Access Manager

USER COMMUNITY

Cross-Functional Reports

Cognos PowerPlay Transformer

PowerPlay Enterprise Server

Sign on

Used to create static

Impromptu reports

Used to create dimensions, facts and power cubes

Publish the cubes on the web

View power cubes on upfront portal

View impromptu reports using upfront portal

Invoked from Web Portal

Ad-hoc & Analytical Reports

Cognos Impromptu Reports

Data Access Layer

Data Storage Layer

Seebeyond

EAI Interface

Operational Data Store

Oracle 8i Solaris 2.6

Metadata Management – Platinum Repository

Dashboard Reporting for KPI’sA Global Financial Services & Travel company

Dashboard Reporting for KPI’sA Global Financial Services & Travel companyBusiness Objective

Provide management information to support global Forex business

Analyze customer profitability, ad-hoc querying and dashboard reporting

Wipro’s Contribution Preparation of Business Case for Data Mart Development & Deployment of Data Mart Design and generation of standard reports Dashboard Reporting to measure the success of business

performance against key CFX strategies through Key Performance Indicators (KPIs).

Key Highlights Support for Multiple currency conversions Customer profitability and dashboard reporting on a daily basis Duration – 8 months, peak team size – 6 Ad-hoc querying, Reporting and OLAP over web, with single sign-

on

Monthly KPI DashboardMonthly KPI Dashboard

Objective: Analysis support for SCM involving

procurement of Inkjet and LaserJet Integrated view of data from various

SAP instances Avoid performance impact on the

production SAP systems

Wipro’s engagement: Knowledge transfer on-site Build, deployment and support of

Finance and eProcurement Data marts

Development and Maintenance of Business Objects Universes and reports

Design, development and testing as part of maintenance, service request execution for existing Data Warehousing applications as per the specification and priority set by the client

Ongoing support from offshore

Highlights: Users at locations spread across the

globe with diversified requirements

Gaining participation and support of the business and other IT areas

Cost Gains from the Offshore Model

Ensuring the Quality of the deliverables pertaining to Wipro’s Veloci-Q process

Availability of pool of diverse technology skill sets

Leading Digital Tech and Products Maker, USALeading Digital Tech and Products Maker, USA

A Leading Healthcare software and services provider Suggested an alternate architecture for their DW

implementation Tool evaluation/recommendation DW implementation roadmap for the next 3 years

A large Finance and Insurance company Putting together a Future State architecture for their DW

environment Roadmap to transform the current DW to the future state

architecture over the next 3-5 years

A leading IT products and services company Working with their e-business analytics team in putting

together a strategy to transform the company into a leading e-business organization

A US Stock Exchange Participated in re-architecting data warehouse application Recommendation on BI tool fit

Some Recent ProjectsSome Recent Projects

The Detailed Case Studies can be found in the path belowThe Detailed Case Studies can be found in the path below

10.119.2.25/KReposit/Case Studies/Business Intelligence and Data 10.119.2.25/KReposit/Case Studies/Business Intelligence and Data Warehousing Case Studies List.xlsWarehousing Case Studies List.xls

10.119.2.25/KReposit/Case Studies/Business Intelligence and Data 10.119.2.25/KReposit/Case Studies/Business Intelligence and Data Warehousing Case Studies.docWarehousing Case Studies.doc

Case StudiesCase Studies

Speed of Deployment

Cost Advantage

Cutting Edge Technology Expertise

End-to-End BI&DW Services

Summing upSumming up

Questions