13-dw_at_wipro
TRANSCRIPT
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