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: What Should Companies Consider Before Investing in a BI Solution?
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 > What Should Companies Consider Before Investing in a BI Solution?
Business IntelligenceCommentary

What Should Companies Consider Before Investing in a BI Solution?

Peter James Thomas
Peter James Thomas
2 Min Read
What Should Companies Consider Before Investing in a BI Solution?
Photo by Uli-W on Pixabay (https://pixabay.com/photos/internship-company-business-work-3157269/)
SHARE

  

 
The following is a lightly edited transcript of a reply I posted to a question asked on the LinkedIn.com Business Intelligence Group. This was entitled What should companies consider before investing in a BI solution?.

I suggest some of the following:

  1. What business problems would a BI solution address?
  2. Within these, what questions do people want to ask and what action will the answers lead to?
  3. Why can’t these people get the answers today, or – if they can – what is wrong with them (incomplete, inaccurate, not detailed enough etc.)?
  4. What is the business impact of the lack of these answers (poor decision-making, missed opportunities, inefficient processes, poor monitoring, lack of tools to manage people’s performance)?
  5. If these questions were to be answered, broadly speaking, which different data sources would need to be brought together (assess different country / divisional systems and different types of systems – sales, Finance, manufacturing, distribution, marketing, complaints, external data, others)?
  6. How aligned are the various different elements within these (e.g. customer records, products, territories etc.)?
  7. To what level is the data required to answer the questions identified above captured (are there gaps and does new data need to be entered)?
  8. How accurate is this data (does it actually reflect business events)?
  9. What is the overall quantity of both historical and current data that needs to be looked at and how much of this regularly changes?
  10. How frequently will users need to ask questions and how up-to-date does the answer need to be?
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects verified lease abstraction at signing to accurate property charges and faster m
AI Lease Abstraction and Month-End Close Speed-Up Checklist
Artificial Intelligence Exclusive
Flat editorial illustration: The article explains that file-system choice determines whether Windows, macOS, and Linux can read o
Understanding File System Compatibility Across Windows, macOS, and Linux
Cloud Computing Exclusive
Flat editorial illustration: The article connects duplicate and decayed CRM records to distorted attribution; a SaaS-editorial sc
Your Attribution Model Is Fine. Your CRM Is Lying to It
Business Intelligence Exclusive
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

First Look – G Stat
CRMData Warehousing

First Look – G Stat

5 Min Read
The Datafication of People and Stuff and Things
Big DataBusiness IntelligenceData MiningData WarehousingHadoopSocial DataUnstructured DataWorkforce Data

The Datafication of People and Stuff and Things

5 Min Read
Decision Automation: How To Augment Predictive Analytics with Human Intelligence
AnalyticsBusiness IntelligenceMarket ResearchMarketing AutomationText Analytics

Decision Automation: How To Augment Predictive Analytics with Human Intelligence

4 Min Read
Business Intelligence & Data Warehousing Fizzles (Too Much Hype): 9 for ’09
Business IntelligenceData Warehousing

Business Intelligence & Data Warehousing Fizzles (Too Much Hype): 9 for ’09

6 Min Read

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

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data 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?