EMERGING TRENDS & TECHNOLOGY IN

lavishgradeSoftware and s/w Development

Nov 25, 2013 (3 years and 7 months ago)

67 views

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 2.0

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.


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
-
Comers



Microsoft


Oracle


SAP


IBM

Megavendors






Pure 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 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.


25

Organizations have the opportunity to employ analytics in a way
that drives better value from their system
.


Competitive Advantage

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?)


Emerging Trend 5




Focus on Information Quality

Data Transformation

Discrete Data

(Not Clean)

Cleaned Data

Integrated Data

Ex: Master Data Mgmt

Ex: ERP or ODS

Net

S
A
P

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 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 Management

Specialty Domains

Enterprise Content

Management

Document Management

Web Content Management

Transactional Management

Performance Management

Strategic Intelligence

Q


&


A

THANK YOU