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5
Business Intelligence Trends
• BI standardization
• While BI has been deployed departmentally, IT organizations are driving enterprise BI standards
• BI to the masses
• Deploying BI to the “corporate middle class” has started• BI meets applications and processes
• Analytic tools, application package, and integration worlds continue to collide
• Predictive and applied “inline” analytics
• ITOs will put a bigger focus on predicting and integrating analytic solutions to solve business problems at the point of interaction instead of providing retrospective analysis
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
6
BI Continuum: On the Way to Pervasive BI
Analytics driving process
optimization
BI driving business
transformationIT driving BI CPM driving
strategy Signposts:
BI Continuum
Networked & Collaborative:
Constantly augmenting &
optimizing performance
Specialists, analysts
Managers, customers,
partners
Operations, point of work Pervasive
Active: Intelligent
decisions made quickly
Passive:Delivery of information
Users:
Role of BI:
Linked:Integrated
plans & analyses
Decide AlignMeasure Optimize InnovateDiscover
StrategyAnalysts/Mgmt. Process
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
7
Major Drivers and Inhibitors to Pervasive BI
• Skills• Lack of best practices and methodologies
to manage a complex and pervasive set of BI capabilities
• Users can’t understand the analysis and correctly interpret the results
• Stability and flexibility of business processes
• Low process maturity• Lack of closed-loop process management
• Silo think• Of infrastructure, applications, definitions,
rules, calculations, etc.• “NIH” syndrome
• Spreadsheet as information systems “duct tape”
• Sponsorship• Limited vision and perceived business
value/impact
• Consumerization of use of information• High expectation of ability to use
and access• Standardization/commoditization
• Basic BI platform functionality (i.e., reporting, query, dashboards) broadly available & “good enough”
• Modularization• BI functionality becomes more
componentized and service-oriented• Users and developers can more easily
customize• Users can add value in pursuit of
self-interest• Networked collaboration
• Fosters environment of innovation and contribution
• Ability to easily share and manage user insights and contributions across wide numbers of users and applications (not just internally, either)
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
8
Shift Focus From Individual Projects to
BI as Core Competency
BusinessSponsor
CPMApps.
EmbeddedAnalytic
EmbeddedAnalytic
EnterpriseArchitects
Compliance
BIApps.
ServiceProviders
CompetencyCenter
BIApps.
Function of BI Competency Center
– Provide vision and strategy and business plan for integrated BI initiatives.
– Define standards; establish overall BI applications architecture.
– Define and manage product portfolio.
– Program management across business, IT and service providers.
– Define information standards: data, business rules, governance, quality …
– Drive competency and consistency via education and support.
– Make BI into a core competency.
Source: Andreas Bitterer, Gartner Group, Business Intelligence: Trends, Directions and Best Practices, Sep 2006
9
tBIDS – Next-Generation BI Solution for Communications
• Comprehensive enterprise-wide BI platform • Data integration and warehousing• Data purity and integrity• Built-in connectivity to operational data stores• Advanced OLAP and Data Mining capabilities• Integrated with leading BI front-end tools and technologies
• Built on “Think Big - Build Step-By-Step” philosophy• Provides end-to-end Single view of business• Business process KPI driven• Rapid Development and Cost Effective
Business Intelligence for Decision Support
10
Call Analysis
Churn Analysis
Roaming Analysis
Campaign Management
Network
ARPU/ARPM Analysis
Product Analysis
Fraud Detection
Customer Segmentation
tBIDS – Key Business Process Coverage Areas
Business Intelligence for Decision Support
12
tBIDS Capabilities: DashboardsEncapsulation and Rendition of Enterprise BI Needs
• Dashboards on key measure• Analyze Trends for your key
measure• Analyze key measure against
product category or Rate Plans
13
tBIDS Capabilities: ReportingActionable Intelligence based on KPIs and Operational Metrics
• Reports and Analytics available on key subject areas
• Templates available
for rapid deployment• Templates based on
TCS rich Domain
Expertise and BI
experience
14
tBIDS Capabilities: GIS Integration
• Spatial Analysis available• Analyze KPIs like Churn,
Activations by Geography• Data can be analyzed by
Regions, States, Cities, Zip Codes
• Drill down to lower levels of granularity
15
tBIDS Capabilities: High-end Analytics and Predictive Modeling
Customers sorted in
likelihood to purchase a
product
16
Oracle:
Single, Integrated, Global, Scalable, Real-Time Repository
CRM
Distribution
Financials
ServiceSRM
PlanningERP
Data Warehouse
Demand & Order Data
SupplierData
ManufacturingData
Transportationand Logistics
Data
Financials Data & Consolidations
and
Daily BusinessIntelligence
Purchasing Data Product Data
Competition:
Cost and Complexity
Customer Data
Pricing Data
HR/HCM Data
Projects Data
Oracle’s Superior BI Architecture Designed for Business Insight and Actionable Results
17
tBIDS Value: Pervasive, Real-time Insight
Executives
Managers
Front-lineEmployees
• Enterprise semantic model• Model centric vs. report centric
• Pervasive business insight• Personalized and embedded information
• Real-time predictive insight • Activity monitoring and predictive analytics
• Insight driven actions• Guided analytics enforce process
• Standards based architecture • Infrastructure integrates with yours
• Fastest time to value • Pre-packaged analytic applications
• Lowest Cost of Ownership• Faster deployment, easier maintenance, less
risk
20
tBIDS Value: A Comprehensive Next-Generation BI Platform
SiebelOLTP
BackOffice
SAP BWOracleBAW
EnterpriseDW
DepartmentData Marts
Intelligent Request Generation and Optimized Data Access Services
Enterprise Business Model Metadata Services
Data Mining Services
Intelligent Multi-Level Caching Services
Multi-dimensional
(MDX) Sources
Other
File or XMLSources
Oracle BI Server
Real-Time Decisions Engine
Multidimensional Calculation and Integration Engine
• Single, logical view of all enterprise data (one version of the truth)
• Scalable Performance• Rich Analytical Capabilities• Centralized control, security
and visibility
• All relevant enterprise data sources
Relational (SQL) Sources
Intelligence Dashboards
Information Access, Analysis and Delivery Options
ProactiveDetectionand Alerts
MarketingSegmentation
Data Mining
Mobile Analytics
In-ContextOperational
Insight
Ad-hoc Exploration
AdvancedReporting
Web Services& Integration
Open Intelligence Interface
21
TCS BI/Oracle CustomersTelecommunications
• British Telecom, UK• Cingular, USA• Hutch, Australia • Nortel, USA• Proximus, Belgium• Verizon, USA• Tata TeleServices, India
23
IDC on TCS (2/06)Excerpts from IDC White paper on “Partnering for Successful Business Analytics Projects”
• TCS has a robust solution implementation methodology with supportive internal business processes
• TCS develops customizable templates and other reusable assets to replicate client success stories based on industry and technology expertise
• Dedicated technology centers of excellence ensure that TCS has employees with the proper technical skills, meaningful technology partnerships, and best practices and know-how that are being captured for reuse
24
IDC Names Oracle Business Analytics Leader for 2005 (11/06)
• Oracle Named Worldwide Market Share Leader in Business Analytics Software and Data Warehousing Tools (3rd consecutive year)
• Oracle's Business Intelligence (BI) solutions encompass a comprehensive, integrated set of leading products including packaged BI applications, BI platform infrastructure software, and data warehousing.
• Oracle was the largest business analytics vendor with 13.1 percent market share and revenues of nearly $2.2 billion for 2005 (IDC, “Worldwide Business Analytics Software 2006-2010 Forecast and 2005 Vendor Shares”)
• Oracle is the leader in the data warehousing tools market with 19.3 percent market share and nearly $1.9 billion in software revenue for 2005 (IDC, “Worldwide Data Warehousing Tools 2005 Vendor Shares”)