Transcript Emerging Trends and Technologies in the Business

EMERGING TRENDS & TECHNOLOGY IN
BUSINESS INTELLIGENCE MARKET
Ravishankar P. Hariharan
Business Intelligence and
Data Warehouse Definitions
Business Intelligence
Data Warehouse
Capability of collecting
and
analyzing
external
data
internal
to
and
generate
A database
with
from
business
transactional systems optimized
knowledge and value for the
for
organization.
business
data
populated
retrieval
of
information
This
includes
providing value in the areas of
process
decision
business projection, market trend
support at the strategic, tactical,
and operational levels.
analysis, and cost minimization.
Business Intelligence Today
•
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, Sensitivity
Analysis 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.
Characteristics Of BI Market
• Closely connected to business
• Any change in business affects BI
• ROI…. ROI…. ROI….
Local Business
Environment
• Depends on data completeness
(Information across the enterprise)
Global Changes
BI System
Legal & Laws
Structure Composition
of
of Manpower
Company
Top 5 Emerging Trends In BI
1. Emergence of BI 2.0 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
Emerging Trend 1
Business Intelligence 2.0
Characteristics of BI 2.0

Event driven

Real time

Automated analysis

Forward looking

Process oriented

Scalable
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)
Contd..
 Reduce Cycle time – until 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.
Advantage & Disadvantages

Action in almost real time.

Advantage of operational reporting and analytic reporting.

There will emerge new architecture and 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 .
Emerging Trend 2
Consolidation of Tools & Vendors in
Market.
Market 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

SAP – BW had strong architecture but weak concepts.

MS had been silently away in the Past.
List Of Major BI Tools
No
.
Business Intelligence
Tool
Currently
With
Version
1
Siebel Analytics
10g
Oracle
2
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
Contd..
No
.
Business Intelligence
Tool
Version
Currently
With
7
Micro Strategy
9
Micro Strategy
8
Informatica Power Center
8.6
Informatica
Corporation
9
Data Stage
8
IBM
10
Ab initio
1.5
Ab Initio Software
Corporation
Leaving 3 categories of vendors
(Gartner)
Vendor Categories
Up-and-Comers
Targeting specific
market segments
Innovative
solutions
Disruptive
Technologies
Pure Plays
Megavendors
Open Text
Microsoft
Informatica
Oracle
Teradata
SAS
SAP
IBM
Vendors & Products
Technologies
Vendors
•
•
MDM
Data Quality and Governance
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Enterprise Search
Real time ETL
Data Archiving
Data Visualization
Query and Usage Management
Rules Engines
DW Appliances
DW Infrastructure
Data Mapping and Analysis
Unstructured Data
Opensource
BAM
EII (Enterprise Inf. Integration)
Information Mobility
DW/BI DBMS
Object Oriented Architecture
Predictive Analytics
Siperian, Initiate
Group1, Back Office, Silvercreek, SAP-BOBJ,
Informatica, Trillium, IHS-Intermat, Utopia
Endeca
Radware
SAND
AVS
Applfuent
ILOG
Netezza
Egenera
Exeros
Itemfield
Pentaho, Talend
Celequest
Composite, Metamatrix, Sybase Awaki
Sybase
Sybase IQ
Objectriver
Tech Labs evaluated KXEN, SPSS, and SAS
Emerging Trend 3
Offering BI as Service
BI as Service
 The Software as a Service (SaaS) Model is the combination of a

Business 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
Emerging Trend 4
Defining BI delivery system
BI Delivery system ----- Analytics
 You have to bring the same rigor you bring to operations and finance
to the analysis .
- Rupert Bader, Director - Workforce planning at Microsoft (MSFT)
BI Delivery system ----- Analytics
 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.
Defining Analytics
• Enterprise analytics
• Functional analytics
• Workforce analytics
• Rapid analytics
• Financial analytics
• Analytics as a whole solution
• Analytics as a spearhead solution
Intelligence Grading.
Reports.

Standard reports.

Drill down reports.

Alert.

Ad-hoc reports
Analytics?

Statistical analysis

Predictive modelling

Forecasting.

Optimization.
Organizations have the opportunity to employ analytics in a way
that drives better value from their system
.
Competitive Advantage
Optimization (What’s the best that can happen?)
Forecasting / extrapolation (What if these trends continue?)
Predictive modeling (What will happen next?)
Statistical analysis (Why is this happening?)
Ad hoc reports (How many, how often, where?)
Alerts (What actions are needed?)
Query / drill down (Where exactly is the problem?)
Standard reports reports (What happened?)
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Sophistication of Intelligence
Emerging Trend 5
Focus on Information Quality
Data Transformation
Net
Discrete Data
(Not Clean)
Cleaned Data
Integrated Data
S
A
P
Public
Domain
Budget
Ex: Master Data Mgmt
Ex: ERP or ODS
Contd..
Meaningful
Data
Valuable Info
Critical Info
KPI Facts &
Measures
Ex: Building DM/DW
Ex: Business Consulting
IM Consulting
Metric Mgmt
Ex: Fast Moving Info
Sensitive Info
High Impact KPI
Talent Management Initiatives have produced a positive impact on
business performance
Metric
%
Source
Revenue
28% faster growth
SuccessFactors
Revenue/employee
49% faster growth
SuccessFactors
Income/employee
13% higher
SuccessFactors
Valuation/employee
27% higher
SuccessFactors
Shareholder return
2.5 times higher
Hay Group
Shareholder return
22% higher
McKinsey
Shareholder return
22% higher
Leadership Excellence
Shareholder return
29% higher
Fulmer
Return 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
Profit
1% increase/employee
Whetten 2004
Employee Turnover
7% decrease
Whetten 2004
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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.
Information Management
Specialty Domains & Core Competencies
Information Management
Specialty Domains
Business Intelligence
Portal
Data Management &
Architecture
BI Governance
Portal
Data Quality
BI & DW Architecture
Enterprise Search
Master Data Management
Data Integration
Collaboration
Meta Data Management
Reporting & Analysis
Enterprise Content
Management
Data Movement & Replication
Strategic Intelligence
Document Management
Analytics & Discovery
Web Content Management
Performance Management
Transactional Management
Q
&
A
THANK YOU