Decision Support Systems For Business Intelligence
    by Vicki L. Sauter

 
 

Design Insights: : A Case for Data Scrubbing*

A multi-site manufacturer has four locations, three of which are in fairly close proximity to each other. Each site has its own autonomous storeroom with inventory parts. At each site, there is a part time catalog manager responsible for all database activity. Because the plant is unionized and positions often change, the catalog manager may be replaced every few months.

The resulting inventory catalogs reflect this: inconsistent manufacturer naming; missing manufacturer part numbers; inconsistent use of symbols/abbreviations; spelling mistakes; incomplete descriptions and; duplicate items. System word searches are next to impossible and finding a part is a frustrating, challenging, usually unsuccessful experience.

Maintenance workers at all locations had long lost faith in stores; each kept a stash of parts hidden somewhere for his own use. To plan for a repair job, they would attempt to find parts through the system, but if unable to locate what they needed, they would abandon the search and just order the part directly; in the case of an emergency, they might call another location to request the loan of a part. Inventory value across the company topped $80 million.

After scrubbing the data, duplicates within sites were revealed to be in the 10% range. Common items across sites were identified in the 25% range. Merging the three regional stores into a central warehouse reduced overall stocking levels and allowed sites to share common critical spares. It also freed up millions in cash savings.

 

*Adapted from I.M.A. Limited, www.imaltd.com/wp_Case_For_Data_Scrubbing.asp

 

   Page Owner: Professor Sauter (Vicki.Sauter AT umsl.edu)