bi emerging markets_tds_79 - less slides
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Business Intelligence
Capability of collecting and analyzing internal and
external data to generate knowledge and value for the
organization. This includes business process decision
support at the strategic, tactical, and operational levels.
Data Warehouse
A database populated with data from business transactional
systems optimized for retrieval of information providing
value in the areas of business projection, market trend
analysis, and cost minimization.
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Business IntelligenceToday
Is driven largely by Reporting
Data warehouse as foundation for BI is Established
Knowledge level of customer in BI expectation, is increasing Tools established in ETL, Reporting, OLAP, Analytics, Data Mining.
BI Reporting is viewed different from ERP [SAP, Oracle] ,Source
system reporting and MIS reporting.
More IT Professionals are joining BI/DW stream .
Still Untapped:
Large number of industries are still unaware of BI (Especially in Domestic Market)
BI being more than reporting is an opportunity
Upgrading of system
Sophisticated BI delivery system like EIS, Analytics, SensitivityAnalysis are yet to be scaled and has a huge impact on business
Limited user group implementation .
- Mindset from professionals
- Cultivate both Top down and Bottom up approach.
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Characteristics Of BI Market
Closely connected to business
Any change in business affects BI
ROI. ROI. ROI.
Depends on data completeness
(Information across the enterprise)
BI System
Local Business
Environment
Legal & Laws
Composition
of Manpower
Structure
of
Company
Global Changes
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Top 5 Emerging Trends In BI
1. Emergence of BI and challenges.2. Market Consolidation of Tools & Technology
3. Offering BI as service opportunity (SAAS Model) and
challenges
4. Defining BI Delivery System Analytics, Data Mart
5. Quality of Information
Master Data Consolidation
KPI Definition for Management /System Business Knowledge & Context
Identifying Critical Information
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Business Intelligence 2.0
Characteristics
Event driven
Real time
Automated analysis
Forward looking
Process oriented
Scalable
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Real Time BI
RTBI provides the same functionalities as the traditional
business intelligence, but operates on data that is extracted from
operational data sources with zero latency, and provides means
to propagate actions back into business process in real-time
Seamless transition from data into information into action.
RTBI needs automatic processes and intelligent systems
(adding semantic web techniques and advanced analytics).
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Contd..
Reduce Cycle timeuntil real time
From (extract, transform, load) ETL-Approach to
OLAP and high performance analytics to ?
E.g. Realtime Decisioning, In-Memory Analytics on
64Bit-Hardware, Enterprisewide Realtime CPM,
BAM/ Realtime-BI,
Advanced Analytics.
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Advantage & Disadvantages
Action in almost real time.
Advantage of operational reporting and analytic reporting.
There will emerge new architectureand schema for storing /
transmitting data.
Challenges ? Not so easy. You could end up with messing the entire Information
management in the organization.
Accuracy could be hit. A wrong decision could emerge.
Could just end up replicating operational system reporting.
Short-Sighted implementations .
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Emerging Trend 2
Consolidation of Tools & Vendors in MarketMarket consolidation
Major players in IT IBM, Oracle, MS have been aggressively
buying leading BI product firms.
SAP bought BO to strengthen BI-front.
Cognos bought out by IBM in a Mega deal.
Oracle bought Hyperion, Siebel analytics to name few.
Microsoft releases BI-Platform.
Why ?
Huge market potential. Oracle not too successful with custom developed products in BI
SAPBW had strong architecture but weak concepts.
MS had been silently away in the Past.
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No. Business Intelligence Tool Version Currently With
1 Siebel Analytics 10g Oracle2 Business Objects Enterprise XI r2 SAP
3 Net Weaver BI 7.0 SAP
4 Hyperion HFM & Planning 9.2 Oracle
5 Microsoft BI platform* 2008/2010 Microsoft
6 IBM Cognos Series 8.3 IBM
7 Micro Strategy 9 Micro Strategy
8 Informatica Power Center 8.6Informatica
Corporation9 Data Stage 8 IBM
10 Ab initio 1.5Ab Initio SoftwareCorporation
List of Major BI Tools
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Leaving 3 categories of vendors
(Gartner)
Up-and-Comers
Microsoft
Oracle
SAPIBM
MegavendorsPure Plays
Vendor Categories
Targeting specificmarket segments
Innovativesolutions
DisruptiveTechnologies
Open Text
Informatica
Teradata
SAS
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Emerging Trend 3: BI as Service
The Software as a Service (SaaS)Model is the combination of aBusiness Model and a Software Delivery Model
When does it arise for BI?
Small to medium customers requiring BI service
Reporting service to analytical service
Insight services
Service require larger framework than the organization can afford
Expert availability:
-BI Expert, Statisticians, Data mining expert, Subject matter expert
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Emerging trend 4:
Defining BI Delivery system - Analytics
You have to bring the same rigor you bring to operations andfinance to the analysis - Rupert Bader, Director - Workforce
planning at Microsoft (MSFT)
Where does analytics stand?
Do you want to give analytic solution to all the key customers?
Is there a shape and focus to the analytic system?
If analytics is Multi-dimensional analysis, Predictive analysis ,
data mining and so on. Which is best suited for a particular
function?
We could possibly classify our offerings.
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Defining Analytics
Enterprise analytics
Functional analytics Workforce analytics
Rapid analytics
Financial analytics
Analytics as a whole solution
Analytics as a spearhead solutionIntelligence Grading
Reports.
Standard reports.
Drill down reports.
Alert.
Ad-hoc reports
Analy t ics?
Statistical analysis
Predictive modeling
Forecasting.
Optimization.
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Organizations have the opportunity to employ analytics in a way that
drives better value from their system.
Com
petitiveAdvanta
ge
Sophistication of Intelligence
Alerts (What actions are needed?)
Query / drill down (Where exactly is the problem?)
Ad hoc reports (How many, how often, where?)
Standard reports reports (What happened?)
Statistical analysis (Why is this happening?)
Predictive modeling (What will happen next?)
Forecasting/ extrapolation (What if these trends continue?)
Optimization(Whats the best that can happen?)
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Emerging trend 5: Focus on Information
QualityData Transformation
Discrete Data(Not Clean) Cleaned Data Integrated Data
Ex: Master Data MgmtEx: ERP or ODS
Net
S
A
P
Budget
Public
Domain
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Contd..
MeaningfulData
Valuable Info Critical Info
Ex: Business Consulting
IM Consulting
Metric Mgmt
Ex: Fast Moving Info
Sensitive Info
High Impact KPI
Ex: Building DM/DW
KPI Facts &
Measures
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Talent Management Initiatives have produced a positive impact on business
performance
Metric % SourceRevenue 28% faster growth SuccessFactors
Revenue/employee 49% faster growth SuccessFactors
Income/employee 13% higher SuccessFactors
Valuation/employee 27% higher SuccessFactorsShareholder return 2.5 times higher Hay Group
Shareholder return 22% higher McKinsey
Shareholder return 22% higher Leadership
Excellence
Shareholder return 29% higher FulmerReturn on assets 1.7% higher 3 years Fulmer
Revenue/employee 27% greater if invested in training Leadership
Excellence
Revenue 40% greater growth if invested in training Leadership
Excellence
Income 50% greater growth if invested in training Leadership
Excellence
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Define your key information level.
Facts and Measures Key Performance Indicator
Metrics
External ratios, Perspective
Your Models (EBDITA, DOW JONES, FKTM)
Scalable factors.
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Information Management
Specialty Domains & Core Competencies
Business Intelligence
BI Governance
BI & DW Architecture
Data Integration
Reporting & Analysis
Analytics & Discovery
Portal
Portal
Enterprise Search
Collaboration
Data Management &
Architecture
Data Quality
Meta Data Management
Data Movement & Replication
Master Data Management
Information ManagementSpecialty Domains
Enterprise Content
ManagementDocument Management
Web Content Management
Transactional ManagementPerformance Management
Strategic Intelligence