Ad Hoc Queries Add Top Line Revenues

Information that doesn’t fall into the right person’s hands at the right time is money left on the table. We’ve written at length about integration across the computing environment enterprise-wide, and how important it is – indeed, how it constitutes one of the IT grails at present. At the infrastructure level, integration supplies the free flow of data enterprise-wide. This is only the beginning however: at the user level, canny use of data is still required to turn it into information, and perhaps even wisdom.

A situation arose at Dovetail just the other day that illustrates how business runs on the ad hoc query, or so it often is at the decision gate. A Dovetail Software customer was debating whether to renew its annual maintenance contract with us. Fortunately we use our own software here, Dovetail CRM. We were able to run an ad hoc query from our support client that pulled up a year’s worth of support tickets and cases opened for our customer.

With a custom query on the fly, we were also able to retrieve ranking across the customer base for custom and support work, which showed the customer as one of the heavier users. Running the year’s data through another ad hoc query (simply using pull-down menus and form fields by the way), we totaled the equivalent one-off support call costs. Bottom line to the customer was: on this activity, save a lot of money by renewing the maintenance agreement. Top line to Dovetail was: add one new contract because of information retrieved in the moment.

In discussions that tend to happen between executives and principals, in fact between agents and customers at all levels of the company, the need for summary in real time is acute. Rather than plow through reports and tabular data, you want one pinpoint question answered. Because in any contest for business questions, the number one ad hoc query is really: “is that money on the table?”

ITtoolbox, one of our favorite forums, has a useful background piece on the way that business data is structured in the database, and the way that the business is modeled for reporting. One of the comments points out that dimensional modeling dominates business reporting because it derived from the inspiration of business reporting.

“All of the non-numeric information about a customer can be found in one place, the customer dimension table [...] Fact tables are records of business occurrences and transaction [...] Between the two major types of tables, dimensions and facts, almost all the relevant information for a business can be instinctively and efficiently accessed and summarized by adhoc queries and business reports.” Why Dimensional Modeling Dominates in Business Reporting

Software and systems are growing in power and interoperability, and data is flooding through the enterprise as never before. How to understand it all, is a big question.

“Combining data mining, statistical and numerical analysis and data visualization, the use of business intelligence applications is, as a result, spreading fast. What is differentiating competitors in the field is the BI application’s ability to perform compound, ad hoc queries on large data sets on the fly and graphically display and distribute results in an intuitive, easily comprehensible format [...] ‘Most business problems are inherently multidimensional, and how those dimensions are displayed makes all the difference’” Putting the Business Intelligence Puzzle Together


Published Friday, March 09, 2007 12:58 PM
Filed under , , , , ,

Comment Notification

If you would like to receive an email when updates are made to this post, please register here

Subscribe to this post's comments using RSS

Comments

No Comments

Leave a Comment

(required) 
(optional)
(required) 

  
Enter Code Here: Required
Submit