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

4 Best Practices for Sharing Workforce Data: Publishing Core Reports
4 Best Practices for Sharing Workforce Data: Publishing Core Reports
Sentiment Analytics – The Gold Mine, which you didn’t Mine!
Key Reasons Businesses Are Embracing AI
Predictive Analytics Spotlight from IBM
The Alibaba, Amazon, and eBay Way to Black Friday Success

 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's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers
Artificial Intelligence

Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers

7 Min Read
Attensity Uses Social Media Technology for Smarter Customer Engagement
AnalyticsBig DataBusiness IntelligenceCloud ComputingCRMMarket ResearchSocial DataSocial Media AnalyticsText Analytics

Attensity Uses Social Media Technology for Smarter Customer Engagement

5 Min Read
Decision Management versus Business Rules
Business IntelligenceBusiness RulesDecision Management

Decision Management versus Business Rules

5 Min Read
IT Outsourcing
Artificial IntelligenceCloud ComputingIT

Reconsidering the Contract of IT Outsourcing to Aid the Digital Business

8 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?