By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: The Problems with BI Development
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > The Problems with BI Development
Business Intelligence

The Problems with BI Development

RickSherman
Last updated: 2012/08/07 at 4:44 PM
RickSherman
4 Min Read
SHARE

Stuck-rutBI implementations are stuck in a rut. This rut has short-circuited many small to medium size businesses’ (SMB) new BI initiatives.

Stuck-rutBI implementations are stuck in a rut. This rut has short-circuited many small to medium size businesses’ (SMB) new BI initiatives.  And, it has thwarted existing BI applications at large enterprises that are trying to be responsive to new and changing business analytic requirements.

Business people at SMBs sometimes reject their BI projects before they even deploy because they have already decided that they are not responsive to their analytical needs. So, they revert to their old standby: spreadsheets. Large enterprises likely have one or more BI applications already in place, but they often face large work backlogs of business requests that business people just cannot wait for, so they also revert to spreadsheets. In both scenarios, enterprises are not reaping the business ROI they should have achieved from their BI initiatives.

BI vendors, of course, have easy answers to these problems:  buy their products and this backlog will vanish because it only takes minutes to build a new dashboard, report or complete business analysis with their tool. Oh really? Currently the latest BI tools are pitched as self-service BI. It is tempting for enterprises to buy into the self-service BI hype. Business people feel that they can be freed from the IT bottleneck and IT feels that business folks will limit their requests if they have these tools.

More Read

ai low code frameworks

AI Can Help Accelerate Development with Low-Code Frameworks

Tackling Bias in AI Translation: A Data Perspective
How AI is Boosting the Customer Support Game
AI-Based Analytics Are Changing the Future of Credit Cards
Enterprises Are Leveraging the Benefits of AI-Driven ERPs

Emerging technologies offered through each new generation of BI tools often do make it easier and faster for people to develop BI analytics, but that is only one ingredient of busting the BI backlog. And it may not even be the most important ingredient.

What are the problems?

A few of the stumbling blocks to greater responsiveness and higher business ROI from BI:

  • Self-service BI approaches, such as data discovery, data visualization and ad-hoc query tools, often are easy enough for business people to use, but without easy access to comprehensive, consistent, clean and current data the resulting BI analysis is not useful for business decision making. The old computer geek term GIGO (garbage in, garbage out) is appropriate.
  • Not all BI tools are business user-friendly, but often it is the power user that uses these tools and not the mainstream business user. Do business people, other than power users, really have time to master a powerful but complex BI tool?
  • The 80/20 rule applies to business requests for BI analytics. Only 20% of the BI requests need to become ongoing production analytics while the rest are either exploratory or one-time types of analysis.
  • In general, IT groups in large enterprises have adopted a formal project or SDLC (Systems Development Life-Cycle) methodology to design, develop and deploy their applications. These methodologies have a formal business requirements process that is great at documenting requirements, but has a tendency to take a long time. What typically happens is by the time the process has completed the business has changed, dropped or created new requirements.

RickSherman August 7, 2012
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence
data Analytics instagram stories
Data Analytics Helps Marketers Make the Most of Instagram Stories
Analytics
data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance
analyst,women,looking,at,kpi,data,on,computer,screen
What to Know Before Recruiting an Analyst to Handle Company Data
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

ai low code frameworks
Artificial Intelligence

AI Can Help Accelerate Development with Low-Code Frameworks

12 Min Read
data perspective
Big Data

Tackling Bias in AI Translation: A Data Perspective

9 Min Read
How AI is Boosting the Customer Support Game
Artificial Intelligence

How AI is Boosting the Customer Support Game

6 Min Read
AI analytics
AnalyticsArtificial IntelligenceExclusive

AI-Based Analytics Are Changing the Future of Credit Cards

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?