Tag Archives: Business Process Redesign

One More Species of Overloaded Data

A while back I wrote the post A Field Guide to Overloaded Data, which publicized the work of Duane Hufford, who examined different types of overloaded data during the 1990s. Over the years his classifications of overloaded data effectively categorized data anomalies I encountered in the wild.

That is until recently, when a colleague encountered an array of file names in a single SQL Server column. This instance didn’t fit into the three categories detailed in the earlier post, so I’m presenting it here. I’ve also added it to the the original post.

Bundling

Definition: Bundled data is a situation where a single column in a table contains an array of values. Continue reading

Reengineered Processes Need Business-Defined Data

“Business process reengineering is the act of recreating a core business process with the goal of improving product output, quality, or reducing costs.”* Recently I’ve perused articles on business process reengineering and have been surprised to find that they share a lack of emphasis on data definition.

By establishing a shared business vocabulary, identifying and describing business-critical entities and events, and applying the defined entities and events in process and system design, BPR teams can ensure an efficient redesigned process that works smoothly from end to end.

In spite of data concerns making up two of the seven key BPR principles (“Merging data collection and processing units” and “Shared databases to interconnect dispersed departments”), articles on the topic tend to lump these concerns into general Information Technology topics, without acknowledging the need for business driven data definition and management.¬†For example, this post stresses the need for “more sources of data and enhanced connectedness to information”. This one recounts a famous Ford BPR example where a new database was central to the solution. Many, like this one, cite “shared databases” as a core principle. However, none details the business leadership and participation necessary to define a common data foundation across a reengineered business process. Continue reading