Ravishankar P. Hariharan

EMERGING TRENDS & TECHNOLOGY IN BUSINESS INTELLIGENCE MARKET

Business Intelligence and Data Warehouse Definitions

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.

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….

• Depends on data completeness (Information across the enterprise)

BI System

Local Business Environment

Legal & Laws

Composition of Manpower

Structure of Company

Global Changes

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 2.0Business 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 & Consolidation of Tools & Vendors in Market.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.

No.

Business Intelligence Tool Version Currently

With

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

List Of Major BI Tools

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

Contd..

Leaving 3 categories of vendors (Gartner)

Up-and-ComersUp-and-Comers

Microsoft

Oracle

SAP

IBM

MegavendorsMegavendorsPure PlaysPure Plays

Vendor Categories

Targeting specific market segments

Innovative solutions

Disruptive Technologies

Open Text

Informatica

Teradata

SAS

Vendors & Products

• MDM Siperian, Initiate• Data Quality and Governance Group1, Back Office, Silvercreek, SAP-BOBJ,

Informatica, Trillium, IHS-Intermat, Utopia• Enterprise Search Endeca• Real time ETL Radware • Data Archiving SAND• Data Visualization AVS• Query and Usage Management Applfuent• Rules Engines ILOG • DW Appliances Netezza• DW Infrastructure Egenera• Data Mapping and Analysis Exeros• Unstructured Data Itemfield• Opensource Pentaho, Talend• BAM Celequest• EII (Enterprise Inf. Integration) Composite, Metamatrix, Sybase Awaki• Information Mobility Sybase• DW/BI DBMS Sybase IQ• Object Oriented Architecture Objectriver• Predictive Analytics Tech Labs evaluated KXEN, SPSS, and SAS

Technologies Vendors

Emerging Trend 3

Offering BI as ServiceOffering 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 Defining BI delivery systemsystem

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.

25

Organizations have the opportunity to employ analytics in a way

that drives better value from their system.

Com

petit

ive

Adv

anta

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 (What’s the best that can happen?)

Reporting

Analytics

Emerging Trend 5

Focus on Information Focus on Information QualityQuality

Data TransformationDiscrete Data(Not Clean)

Cleaned Data Integrated Data

Ex: Master Data Mgmt Ex: ERP or ODS

Net

SAP

Budget

Public Domain

Contd..

Meaningful Data

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

29

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

Define your key information level.

Facts and Measures

Key Performance Indicator

Metrics

External ratios, Perspective

Your Models(EBDITA, DOW JONES, FKTM)

Scalable factors.

Information ManagementSpecialty 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 ContentManagementEnterprise ContentManagementDocument Management

Web Content Management

Transactional ManagementPerformance Management

Strategic Intelligence

Q & A

THANK YOU