October 11, 2010
What do the iPad and business intelligence (BI) tools have in common? Not as much as they should. Apple has been getting a tremendous amount of free publicity […]
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May 3, 2010
My two-part article on on-demand BI: Part 1 – Can on-demand business intelligence break down pervasive BI barriers? The desire of business users for information that […]
April 14, 2010
You’re breathing a sigh of relief because the hard work of your business intelligence (BI) project appears to be over. You began by carefully evaluating […]
April 11, 2010
As we discussed in the first part of this article, on-demand business intelligence (BI) software can be less expensive, faster to deploy and easier to use […]
November 11, 2009
The demand for business intelligence data only continues to increase, putting BI vendors and practitioners under the gun to develop new technologies and improve existing processes […]
October 28, 2009
There are many emerging data integration strategies and technologies that IT can leverage to create the information needed for their business. When examining these, it is […]
September 28, 2009
This decade, and especially this recession, has seen a tsunami in demand for the data needed to make sound business decisions. Yet businesses continue to fall […]
June 30, 2009
Data integration suffers from an image problem. It has become synonymous with extract, transform and load (ETL). Likewise, ETL has been regarded as a data warehousing (DW) technology. Both […]
February 19, 2009
Data integration suffers from an image problem. It has become synonymous with extract, transform and load. Likewise, ETL has been regarded as a data warehousing technology. […]
December 18, 2008
I’ve written letters to Santa before requesting gifts that data management and data warehousing managers would appreciate. With the current economic climate, many business intelligence (BI) […]
December 9, 2008
Data warehousing (DW) and business intelligence (BI) have been evolving and getting more sophisticated over the years. As IT folks, consultants and analysts gain more experience, […]
November 21, 2008
In my DM Review columns, “The Accidental Architecture” and “Recovering from the Accidental Architecture,” I discussed whether people understood the “why” of best practices, such as dimensional modeling […]
November 19, 2008
People involved in business intelligence (BI) and data warehouse (DW) projects are very familiar with terms such as facts, dimensions, attributes, surrogate keys and slowly […]
November 12, 2008
Just mentioning master data management (MDM) will cause businesspeople’s eyes to glaze over and most IT folks to run for the hills. Why does Master Data […]
October 16, 2008
In my article “The Accidental Architecture,” I discussed how enterprises have evolved their data warehousing (DW) and business intelligence (BI) projects without a planned architecture. This […]
October 14, 2008
When you plan to build a house, you start with what you want and can afford. You decide on Accidental Architecture style, size and number of […]
October 2, 2008
In 2003, the inaugural column I wrote discussed the Data Integration Framework (DIF). This approach is the foundation that I have used for more than 20 […]
September 11, 2008
Conventional wisdom states that you should build a data warehouse (DW) and then populate data marts from it. This data architecture is called a hub and […]
September 4, 2008
My last column was about hyped trends. There are other industry trends that don’t get all the hype but are happening quietly. These trends are taking hold […]
August 28, 2008
Each year, industry analysts, experts and vendors bombard us with acronyms for the next big trend. There are several ways to examine these trends to determine […]
August 21, 2008
The “single version of the truth.” How many times have you seen that catchphrase in presentations by industry analysts, vendors, consultants or even your own IT […]
June 11, 2008
What’s the process for evaluating data warehouse software? 1. Establish what data warehouse software you need. The core set of tools: database; extract, transform and load […]
May 12, 2008
People involved in business intelligence (BI) and data warehousing (DW) projects are very familiar with terms such as facts, dimensions, attributes, surrogate keys and slowly changing […]
February 11, 2008
Analyst firm’s product ranking reports such as Gartner’s Magic Quadrants and The Forrester Wave are terrific, but are they being used appropriately? Both provide snapshots of […]
December 18, 2007
I’ve written letters to Santa before, requesting gifts that only a data management type would appreciate. Maybe that’s why a data warehousing manager gave me a letter this […]
October 12, 2007
Published by TDWI, October 2007 Q&A: The Ins and Outs of Enterprise Master Data Management Will MDM will succeed where past standardization efforts have failed? By […]
October 11, 2007
In Part 1 of this article series, “Business intelligence (BI)and corporate performance management: What’s the difference?” I discussed the inherent differences between BI and CPM and […]
September 11, 2007
What is the difference between business intelligence (BI) and corporate performance management (CPM)? What is the difference between BI and CPM vendors? The answer to the […]
June 30, 2007
Business demand for information is insatiable, driven by performance management, competitive pressures, industry regulations and the exchange of data with suppliers, partners and customers. Likewise, data […]
June 11, 2007
Software as a Service (SaaS) applications have created a lot of excitement and buzz. But combine all this SaaS enthusiasm with the business intelligence goals of […]
May 28, 2007
Data quality management needs to be an integral part of the design and planning of your corporate performance management (CPM), business intelligence (BI) or data warehouse […]
May 25, 2007
Operational business intelligence (BI) can be an integral part of a portfolio of BI solutions. But before you put it to use, see my May DM […]
May 18, 2007
In the following article I point out where companies tend to go wrong in their initial use of extract, transform and load (ETL). 1. Turning a […]
April 28, 2007
Doctors say that “prevention is the best medicine.” This holds true for data quality management, too. The sooner you identify potential problems the sooner you can […]
March 27, 2007
In The Trial-and-Error Method for Data Integration, I discussed some common data integration mistakes. In this article I point out where companies tend to go wrong in […]
