Manufacturing

Volume and Flexibility

Manufacturers deal with very large volumes of product data, whether manufacturing new goods for sale or as part of their maintenance and repair operations.

Many items of product data are not described correctly (or sometimes even usefully) within ERP and other systems such as Spend and Contract Management, many values are often held  as 'dummy' or default. This occurs through a combination of automated and manual input; for example, attributes are sometimes placed in unstructured descriptions and units of measure are different or contradictory for the same product. The product data may be sourced from a multitude of different suppliers in a variety of formats and languages.

Datactics technology cleanses and standardizes content by re-engineering attributes using master reference files. This includes profiling and extracting abbreviations from unstructured descriptions such as color and unit of measure. The accurate and standardized data can be fed into a database which becomes the master data hub for all enterprise processes. Your product data can then be kept clean using the Datactics Data Quality Firewall.

The Datactics Product Suite can:

• Validate information against your own business specific categorizations, structures and taxonomies.
• Verify product data against Master Reference Files.
• Restructure and standardize data to ensure consistency in description with common terms and abbreviations which  ensures correct identification and removes duplication.
• Consolidate data from different systems providing a single source of accurate product information.
• Deduplicate and merge information automatically or after manual review depending on threshold scoring.
• Protect data in real time preventing poor quality data polluting your systems.
• Easily handle mixed language data sets, even where different languages and different character sets are used in the same field.
• Maintain a single view of product, supplier and customer information.
• Use federated search techniques to screen suppliers against denied persons or country lists.
• Ensure that data is clean and valid for the purposes of Business Intelligence and reporting.

If the manufacturing sector is of interest to you please look at the following Case Studies which highlight the real results achieved by organizations operating within the manufacturing  environment –

• Terex (eCost). Terex is a Fortune 500 company and a diversified global manufacturer with revenues exceeding $9Bn.  With the successful delivery of Datactics solutions across 35 business units worldwide, Datactics enabled Terex to increase its purchasing leverage by consolidating spend data.
•  Royal Phillips Electronics.  With high volumes of ever changing product data, Phillips had a need for data cleansing.  Using Datactics, 30% duplications were removed and the data remained clean
• Terex (Global Benefit Tracking). Terex is a Fortune 500 company and a diversified global manufacturer with revenues exceeding $9Bn.  Following on from the successful delivery of the Datactics Data Quality Firewall and File Validation tool, Terex contracted Datactics to effectively track the savings and expenditure obtained across its global supply chain