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Strategic Supply Chain Management - Supply Chain Online

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66 <strong>Strategic</strong> <strong>Supply</strong> <strong>Chain</strong> <strong>Management</strong><br />

As cleaning and structuring data become top priorities for a growing<br />

number of companies, applications that support data quality control are<br />

becoming more popular. At many companies, data maintenance is a part<br />

of ongoing management processes; data administration positions even<br />

have been created specifically to maintain data quality.<br />

A key driver behind this push for data quality is a growing awareness<br />

of the costs associated with poor data in transactions such as ordering<br />

and invoicing. A study of the electronics industry by the U.S.-based<br />

National Electrical Manufacturers Association (NEMA) revealed that<br />

product and pricing inaccuracies were costing manufacturers and distributors<br />

1 and 0.75 percent of sales, respectively. 9 These percentages may<br />

not sound particularly alarming, but for a $200 million manufacturing<br />

company, that’s an added cost of $2 million.<br />

New industry initiatives to address data quality continue to emerge.<br />

In the retail industry, for instance, the Uniform Code Council started an<br />

organization called UCCnet to provide item data synchronization, standards<br />

validation, and a global item registry for retailers and their suppliers.<br />

By creating a single set of data usable by all, UCCnet plans to drive<br />

out the costs associated with invoice and order errors and the time spent on<br />

data quality. NEMA has created the Industry Data Exchange Association<br />

(IDEA) to do the same for its industry.<br />

When a supply chain architecture meets the test for integrity<br />

◆<br />

◆<br />

◆<br />

Required integration between applications is defined in the supply<br />

chain process architecture, and the impact of application<br />

integration issues on business performance is measured.<br />

Processes are documented at each level of the supply chain<br />

architecture, with clear descriptions of the data required to execute<br />

each process.<br />

Data quality is measured and managed, with clear ownership for<br />

data creation and maintenance.<br />

ARCHITECTURAL TOOLKITS<br />

Just as a blueprint describes the construct of a building and how each element<br />

fits together, your supply chain architecture should describe the construct<br />

of your processes and how they interact. In order to be effective, this<br />

needs to be done using clear, unambiguous terms. Just agreeing on a definition<br />

of what “the supply chain is,” though, can be a major challenge.<br />

This task has been complicated by the use of many similar-sounding and

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