Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Top 9 ways to maintain a healthy BI environment
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Top 9 ways to maintain a healthy BI environment
Business Intelligence

Top 9 ways to maintain a healthy BI environment

Yellowfin
Yellowfin
7 Min Read
SHARE

The secret to a healthy Business Intelligence (BI) environment is to ensure it remains relevant.

To remain relevant, and continue to be fully utilized, a BI tool must evolve with a companies reporting and analytics needs and the company itself.

But how do you achieve this I hear you inquire?

It’s like maintaining a vintage car – just give it some judicious TLC.

More Read

The Convergence of Business Intelligence, EPM, and GRC
Reference Domains Part IV: Metadata & Governance
From Master Data to Master Graph
10 Ways Chatbots are Changing the Customer Service Cycle
Takeaways From Your Next Predictive Analytics Conference

The secret to a healthy Business Intelligence (BI) environment is to ensure it remains relevant.

To remain relevant, and continue to be fully utilized, a BI tool must evolve with a companies reporting and analytics needs and the company itself.

But how do you achieve this I hear you inquire?

It’s like maintaining a vintage car – just give it some judicious TLC.

So, here are nine ways to keep your BI environment humming, its body sparkling, and interior permeating that new car smell, to ensure it’s every bit as usable and desirable as the first day it hit the road.

1. Stick to intermediate targets

Failure to adhere to a raft of ongoing maintenance targets can result in major deadlines being missed. Timelines for scheduled upgrades, meetings, training and reviews must be adhered to.

2. Avoid budget blowouts

Whilst quality data ensures the success of your BI tool, the success of the BI project is governed by sufficient funding, and executive support. It’s not enough to complete a thorough budgetary estimate for the implementation stage of a BI rollout. You must carefully consider and identify all the elements involved in ongoing maintenance. This is especially important if after the implementation stage, the final rollout is different from what was originally planned, as this will obviously affect continuing costs. Consider:

  • The volume of data and number of data sources being processed, over what timeframe, and compare that to what was originally intended.
  • The number of different functions your BI system performs – is it more than originally planned? If so, this will effect timelines and costs.

3. Pay careful attention to your data

Ensure that the data your BI tool is reporting off remains reliable. If the data collected no longer reflects your company’s operational environment, the BI tool will be rendered inoperable – unable to deliver relevant, actionable insights. Ensure your data is usable by:

  • Guaranteeing data quality
    • Data is complete
    • Data is in a uniform format
  • Guaranteeing data integrity
    • Disparate data is cleansed before using or combining it with other data / data sources
    • The information you receive is accurate and represents what it is supposed to, not what you think it represents


4. Lessons learned from implementation: Do’s and don’ts

Develop a formal tracking system for recording successful and unsuccessful aspects of your initial BI implementation process and apply, or avoid them, when maintaining your BI system.


5. Build and maintain expertise within your BI team

Persevering knowledge accumulated within your BI team is crucial to ensure the success, and smooth operation of, your BI project over the long haul. To assist this process, you should:

  • Develop a mentoring program within your BI team to ensure lessons learned are passed on
  • Insist that each programmer documents and explains their code so that others can understand their work
  • Document your processes so that they are repeatable

6. Document what didn’t get done the first time

During the initial rollout, certain aspects you intended on including in the original BI implementation will have been left by the wayside – it was too difficult to include all desirable aspects from the start. Keep track of those features that didn’t quite make the cut the first time, so that they can be included in the overall setup at a later date, as part of routine maintenance and upgrade processes.


7. Monitoring: The BI tool, business users, and business environment

Constant monitoring is an absolute necessity for the ongoing success of any BI project. Your BI team should:

  • Monitor your BI tool’s performance to make sure its running smoothly, and ensure any glitches are quickly attended to with appropriate updates, before larger problems arise
  • Make sure business users are actually utilizing the tool and its full range of functionality (as far as practically possible), and that they are satisfied with the features provided
  • Ensure that the reports and data analysis generated are still serving their intended purpose. The reporting and analytics needs of a business will change as the business grows and changes. Are you still delivering something useful to business users and executives for current and future strategic planning?

8. Provide adequate end-user training

Hopefully you provided comprehensive training for your end-users when you introduced your BI tool. After all, what good is a reporting tool if nobody’s using it? But training is cyclical – it doesn’t stop there. End-users must be appropriately and adequately educated about new features as they are introduced. Otherwise, end-user drop-off rates will climb, and your BI tool will be made irrelevant.


9. Communicate changes

Develop a comprehensive communications plan to inform users and the executive team about changes and enhancements to your BI tool, and how those changes will benefit them. This will ensure ongoing widespread end-user adoption, and that new features and functions are utilized, not wasted.

Conclusion

Maintaining a healthy BI system is a cyclical, ongoing, never-ending process.

BI helps companies adapt to changing market conditions. But BI is more than just knowledge generation. BI itself must be adaptive to move with organizations as they change, to enable them to continue evolving, and be able to support and address consequent changes in data analysis and reporting needs.

As the father of evolutionary theorem, Charles Darwin, said “It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptive to change.”

This statement can be appropriately and aptly applied to BI.

TAGGED:business analyticsbusiness intelligencedata analysisdata governanceinformation governancereporting and analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

chatgpt image jul 21, 2026, 04 44 05 pm
How AI Helps Companies Find Dedicated Development Teams
Artificial Intelligence Exclusive
smarter cybersecurity threats
As Vehicles Get Smarter, Cybersecurity Threats Intensify
Exclusive IT Security
chatgpt image jul 18, 2026, 05 09 14 pm
When Data-Driven Businesses Must Recover Data from USB Drives
Big Data Exclusive
chatgpt image jul 15, 2026, 03 28 38 pm
How Cloud Technology Helps IT Asset Recovery Services
Cloud Computing Exclusive IT Security

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Are Data Scientists Overpaid?

4 Min Read
use big data to research social media
AnalyticsBig DataExclusiveSocial Data

4 Ways To Use Big Data To Monitor Competitors On Social Media

7 Min Read

Innovation and Analytics

6 Min Read

SAS Innovates into the Big Data Analytics Era

9 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
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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?