However, in the first example, the patient died, because of a misunderstanding of the procedure to formulate the medication mixture. In the second example, a bank lost nearly $600 million because of non-standardized “risk” codes.
Not exactly examples of business intelligence, are they?
Business intelligence requires information quality. And information quality requires quality of data definition, so knowledge workers know the meaning of the data, both the base facts and the derived information results. Knowing the meaning of data helps knowledge workers interpret it properly. But quality of data definition is required for information producers to capture it correctly and completely. But the information must be presented to knowledge workers in a way that they can see the truth and significance of the message.
There are many software tools that provide excellent visual representation of the patterns found in the information. However, no presentation of information, no matter how intuitive or visually graphic, can compensate if there are errors or omissions in the data that distort the end message. This presentation and analytical representation of information can highlight the significance if the data is accurate and complete. And the data may be accurate and complete, but if the knowledge workers do not have access to clear definitions of both the base data and the derived results, they may “mis-interpret” the meaning of the results and take the wrong action. All of these are required in providing sound business intelligence.
Is there a standard definition of business intelligence? I’m not sure there is, but let’s explore some definitions. Then I will propose a definition from an intelligent learning organization perspective.
Business Intelligence definitions
The problem with these definitions is that they speak only to the software or technology components. They do not define the human view or the concept of business intelligence. Here are some definitions that address the “concept of business intelligence:”
This last definition provides a comprehensive definition of the concept. I propose the following definitions that include the human factor. There is no such thing as business intelligence without the people to interpret the meaning and significance of information and to act on their knowledge gained:
Requirements For Business Intelligence
These definitions emphasize the human element and the requirement for not just any information, but information that meets the quality requirements of the knowledge workers. Poor quality information distorts the truth, leading knowledge workers to the wrong conclusions and wrong decisions that are sub-optimal (at best) or disastrous (at worst).
Recent articles by Larry P. English
Larry P. English, Cofounder of the IAIDQ, is President and Principal of INFORMATION IMPACT International Inc., and author of the widely acclaimed Improving Data Warehouse and Business Information Quality. His forthcoming book, Information Quality Applied: Best Practices for Business Information, Processes and Systems, will be available in early 2009. He is a speaker at the upcoming 2008 IQ Conference in San Antonio, Texas. He provides consulting and training to help information professionals increase their value to the enterprise and provides certification in his TIQM methodology. For details, email TIQMCert@infoimpact.com or visit www.infoimpact.com.