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
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 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
SHARE

Racking up for a climb

Racking up for a climb


  

 
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?.

More Read

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Enterprise 2.0: How to Make it Work
The Top 3.77 Annoying Things About Top Lists
Could Business Computing Be Done by Users Without Technical Experience?
Put Predictive Analytics To Work in Operations

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

data mining to find the right poly bag makers
Using Data Analytics to Choose the Best Poly Mailer Bags
Analytics Big Data Exclusive
data science importance of flexibility
Why Flexibility Defines the Future of Data Science
Big Data Exclusive
payment methods
How Data Analytics Is Transforming eCommerce Payments
Business Intelligence
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

First Look – EpiAnalytics

5 Min Read
security benefits for gaming sites
Artificial IntelligenceExclusiveITSecurity

AI Leads To Impressive Security Benefits For Gaming Sites

9 Min Read
Image
Business Intelligence

Self-Service BI Is About More Than Interactivity

4 Min Read

EmSense, a “neuromarketing” company founded in 2004 by seven…

2 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?