We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Seven Business Intelligence Project Pitfalls
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Seven Business Intelligence Project Pitfalls
Best PracticesBusiness Intelligence

Seven Business Intelligence Project Pitfalls

Brett Stupakevich
Brett Stupakevich
3 Min Read
Seven Business Intelligence Project Pitfalls
Photo by Tima Miroshnichenko on Pexels (https://www.pexels.com/photo/light-people-table-white-6598753/)
SHARE

All enterprise-wide initiatives that introduce change are subject to stumbling blocks along the way, and business intelligence implementations are no different. From Booz & Co., here are seven potential risks or project pitfalls you may encounter when implementing a business intelligence solution, and some suggestions on how to avoid them before they happen. 

1. Lack of Sustained Leadership Support

 If you run the risk of losing leadership support during a lengthy implementation, you can take steps to prevent that from happening by securing different project champions for the various initiatives within the project. Build incentives at the beginning of a project for leadership to stay involved with the initiative. You will gain renewed leadership interest and support as you show progress with the value of your business intelligence implementation.

 2. Partner Failure

More Read

Using Online Video, Customer Analytics and Big Data to Market Online
Using Online Video, Customer Analytics and Big Data to Market Online
What Pepsi Ditching the Super Bowl Signals for Online Brand Advertising
Is This the Ultimate Definition of “Big Data”?
The Data Miner’s Role as Honest Broker and Change Agent
How to Make Your Department More Data-Friendly

 Take steps ahead of time to help make sure you don’t stumble because one of your partners fails to deliver. Make sure you thoroughly evaluate the external partners you use and check references to confirm their reliability. Negotiate payment to partners contingent on successfully achieving milestones throughout the project.

 3. Project Delays or Scope Creep Causing Loss of Momentum

 Strong project management skills that define specific milestones and manage to modular releases will help with this potential pitfall. Clearly define the project scope and do not change it without reevaluating time and resource requirements.

 4. Development Halted To Accommodate System Changes

 Use a modular approach to development and implementation to prevent interruptions. Establish a schedule for future upgrades and enhancements considering future system changes that will need to be made.

 5. Security Breaches

 Develop a strong, centralized governance policy for the project which includes enhanced data control policies. Use role-based security tools in the implementation to avoid security breaches with the data.

 6. Unintended Consequences of Focusing On the Wrong Metrics

 When developing metrics, document the options and the decisions for how metrics are chosen. Consider potential secondary impacts of using the metrics you choose. Make metric selection an ongoing process that is regularly evaluated and changed as necessary.

 7. Organizational Resistance to Tracking and Acting on Metrics and Targets

 Visible executive support is key to avoiding this pitfall. Ensure that incentives at all levels are aligned with the way the business intelligence program is measuring success and that incentives reinforce the right behaviors needed to achieve goals. Transparency and information sharing are also keys to avoiding resistance.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects weekly technician productivity and related shop metrics to timely scheduling an
Workforce Analytics for Auto Repair Shops: Reading Technician Productivity Weekly
Business Intelligence Exclusive
Flat editorial illustration: A business-editorial depiction of two account-growth routes: data-guided targeted advertising and cr
Targeted Ads and Cross-Promotion: Using Audience Segments and Platform Statistics to Grow
Exclusive Social Data
Flat editorial illustration: Business and SaaS-editorial concept: a prospective development team proves its fit by testing a boun
Hiring a Dedicated Development Team for Your Existing Stack and Delivery Process
Development Exclusive
Flat editorial illustration: The article is about modernizing legacy software incrementally without stopping live operations. A t
7 Top Legacy Software Modernization Companies in Europe for 2027
Exclusive Software

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Tableau Thrives in Providing Visual Discovery for Business Analytics
AnalyticsBusiness IntelligenceData Visualization

Tableau Thrives in Providing Visual Discovery for Business Analytics

9 Min Read
Why Investing in Data Is Crucial for Business Growth In 2022
Big Data

Why Investing in Data Is Crucial for Business Growth In 2022

5 Min Read
SaaS ERP Making Inroads
Business Intelligence

SaaS ERP Making Inroads

5 Min Read
business intelligence for digital marketing
Business IntelligenceMarket ResearchMarketing

Boost Your Digital Marketing with Business Intelligence

10 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?