E-Commerce and Retail

E-Commerce and Retail

Improved Data Quality produces lower error rates and increases operating efficiency.  These in turn ensure increased revenues and brand loyalty.

Catalogs, Product Information Management (PIM), Master Data Management (MDM) and ERP systems: - The common item in each of these is product data. Retailers get product data from many sources spread around the world, in many different languages, in inconsistent formats and this information must be used by a number of different channels; catalogs, data feeds, web sites, retail staff etc.

To be effective this product data needs to be of high quality. It needs to be accurate, complete and consistent. Improvements to the quality can lead to:

• Benefits in the back-office such as faster and more accurate billing, hence faster payment and less administration
• Reduced direct mail costs (see Direct Marketing)
• More effective cross-selling and up-selling
• Better customer relationships and improved customer service 
• Quicker product time to market
• Lower rate of returned products
• Lower inventory costs

The Datactics Product Suite can increase the quality of the product data so that:

• The data is standardized allowing for accurate search and identification across all channels.
• You can identify where data is missing and enhance and enrich accordingly.
• You can accurately match products which can lead to improved cross selling and up-selling opportunities.
• You can scorecard the information so that you monitor the quality of the data you receive and maintain.
• You can put a data quality firewall in place to ensure that data you receive from suppliers conforms to standards and prevents any contamination or degradation of the data you already hold.

If e-commerce and retail are of interest to you please look at the following Case Studies which highlight the real results achieved by organizations operating within the sector –

•  Snow and Rock are the leading specialist winter sports and outdoor retailer in the UK.  They combine shops and catalog sales.  Datactics cleansed, standardized, matched and enriched the name and address database. Records were matched and merged to provide the ‘golden record’. 
•  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.
•  John H Lunns (Jewellers) Ltd is a family business with over 50 years experience selling fine diamonds, beautiful jewellery and luxury watches.  Datactics cleansed, matched and merged their 40,000 customer records effortlessly.