Data quality in SAP® R/3® and mySAP™ CRM boosts customer loyalty and cuts costs
Pforzheim, Germany, September 2004. Data quality specialist Uniserv is featuring customer care and cost optimization for companies as its key themes for this year's participation at the Convention USF 2004 in La Baule, France. It has become a truism that it is many times more expensive to win new customers than to retain existing ones. The key to successfully building customer loyalty and thus to significantly reducing costs is well-maintained, top-quality address data. However, as Fadhel Belaiba, sales representative at Uniserv, points out, appropriate software standards for address verification are essential: "Companies increasingly recognize the value of optimal data quality. However, special tools for data maintenance are lacking in the SAP® environment. That is why SAP® has made the integration of external systems, so-called "Business Add-Ins" (BAdIs), available to improve data quality. Our experience shows that companies that use Uniserv's enhanced functionalities were able to demonstrably increase their competitiveness, strengthen customer loyalty, measurably reduce their costs and maximize their ROI!"
Against this background, Uniserv is informing attendees in La Baule about its two international solutions with SAP® certified integration and plug & play installation, specifically for SAP® R/3® from release 4.6b onwards, as well as for mySAP™ CRM 3.0. The postal validation system post for mySAP.com™ reliably checks and corrects addresses in SAP® on the city, postal code, street and house number level. With the duplicate check software system mail for mySAP.com™, an error-tolerant search for addresses can be made and customers can be identified. Both solutions function together seamlessly and continuously to ensure the highest address data quality – for a successful customer relationship at reduced cost. Additional information is available at www.uniserv.com/sap.
Contact person:
Fadhel Belaiba
+49 175 183 25 18
Uniserv is listed in the Magic Quadrant for Data Quality Tools more...
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