BI Starts With Data - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Software // Information Management
Commentary
6/1/2006
07:46 PM
50%
50%

BI Starts With Data

The best business intelligence tools in the market are nothing but lines of code without good data. But how does an organization know whether the information it has sitting in multiple data stores spread across its operations is the real bottleneck to rapid access to comprehensive, consistent data?

The best business intelligence tools in the market are nothing but lines of code without good data. But how does an organization know whether the information it has sitting in multiple data stores spread across its operations is the real bottleneck to rapid access to comprehensive, consistent data?Ventana Research has identified the symptoms of bad data that prevent improvements in business processes and performance. The warning signs are when business analysts spend more time reconciling data than analyzing it, and when it takes weeks, instead of days, to close financial books.

Other symptoms include not being able to quickly figure out spending with suppliers across divisions, or whether two customers that appear different are actually one and the same. As mentioned in last week's newsletter, over-dependence on spreadsheets is a problem sign, particularly if you can't tell whose spreadsheet is correct.

A company also needs to check the quality of its data when there are no central records for R&D throughout the organization, there are inconsistent charts of accounts, and it's unclear who is responsible for maintaining information quality.

The list goes on, but if you recognize more than a couple of the symptoms in your company, then it's probably time for the organization to look at master data management tools.

IBM recently unveiled two major offerings in the space, the WebSphere Product Center and the WebSphere Customer Center, which were built on technology obtained in the acquisition of Trigo and DWL, respectively.

Both products are meant to rid businesses of the disparate, application-specific data silos that lead to inconsistent information and other irregularities. Instead, the MDM tools offer a company-wide repository that cleans incoming data.

But don't expect either of the products to be cheap. As one customer said, "It wasn't a huge additional cost. But it wasn't free either."

Drop me an email to let me know what you think.

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Comment  | 
Print  | 
More Insights
News
Top 10 Data and Analytics Trends for 2021
Jessica Davis, Senior Editor, Enterprise Apps,  11/13/2020
Commentary
Where Cloud Spending Might Grow in 2021 and Post-Pandemic
Joao-Pierre S. Ruth, Senior Writer,  11/19/2020
Slideshows
The Ever-Expanding List of C-Level Technology Positions
Cynthia Harvey, Freelance Journalist, InformationWeek,  11/10/2020
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
Why Chatbots Are So Popular Right Now
In this IT Trend Report, you will learn more about why chatbots are gaining traction within businesses, particularly while a pandemic is impacting the world.
Slideshows
Flash Poll