Factors Responsible for Successful BI Project

1. Sanjivani Rural Education Society’s
Sanjivani College of Engineering, Kopargaon-423 603
(An Autonomous Institute, Affiliated to Savitribai Phule Pune University, Pune)
NACC ‘A’ Grade Accredited, ISO 9001:2015 Certified
Department of Computer Engineering
(NBA Accredited)
Prof. S.A.Shivarkar
Assistant Professor
E-mail :
shivarkarsandipcomp@sanjivani.org.in
Contact No: 8275032712
Subject- Business Intelligence
Unit-I: Concepts with Mathematical treatment

2. Factors Responsible for Successful BI Project
• Business Intelligence can bring critical capabilities to an
organization, but the implementation of such capabilities
is often plagued with problems.
• Why certain project fails, while others succeed? The aim
of this to identify the factors that are present in
successful intelligent projects and to organize them into a
framework of critical success factors (CSFs).
• The implementation of a BI system is not a conventional
application-based IT project (such as an operational or
transactional system), which has been the focus of many
CSF studies. (Yeoh & Koronios, 2010).

3. Yeoh & Koronios model of success in BI (Yeoh & Koronios, 2010)
Factors Responsible for Successful BI Project

4. Organizational Dimensions
• Committed management support and sponsorship.
• Clear vision and well-established business case.

5. Process Dimension
• Business-centric championship and balanced
team compositions.
• Business-driven and iterative development
approach.
• User-oriented change management.

6. Technological Dimension
• Business-driven, scalable and flexible technical framework.
• Sustainable data quality & integrity.
• Hardware and software technologies are significant enabling
factors that have facilitated the development of business
intelligence systems within enterprises and complex
organizations.
• On the one hand, the computing capabilities of
microprocessors have increased on average by 100% every 18
months during the last two decades, and prices have fallen.
• This trend has enabled the use of advanced algorithms which
are required to employ inductive learning methods and
optimization models, keeping the processing times within a
reasonable range.

7. Obstacle to Business Intelligence in an organization
• Business Intelligence project are characterized by
an extremely high risk factor & many obstacles.
• These obstacles are mostly related to the fact that
Business Intelligence projects typically go beyond
the boundaries of departments, processes and even
business units; contain a mix of strategy, business
operations & Technology and are highly political.

8. Culture and Politics
• Fragment Culture
• Culture of Power and Gut feeling
• Financial Culture
• Traditional IT Culture

9. Technology
• The Complexity of ETL
• The Technology Push