Wipro Driving Business Momentum
Presented by
Dr Srinivasa VegiDW / BI Practice
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BI / DW Trends
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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
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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
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BI DW Hype Cycle
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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]]
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Magic Quadrant for DW DBMS, 2006- Gartner
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BI Analytics & Enterprise Reporting
BI Enterprise Reporting, Q1’06 - Forrester
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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
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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.
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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
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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
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BI Implementation for Telecom Service Provider (TSP)
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Introducing Wipro
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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
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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
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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
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