uniserv
Data quality makes your Customer Relationship Management (CRM) more effective
 

Data quality makes your Customer Relationship Management (CRM) more effective

 
Strengthening your relationships with existing customers and acquiring new customers cost-efficiently is the alpha and omega for securing a larger slice of the sales cake. The basis for this is strong Customer Relationship Management (CRM) with correct and complete customer data which can be used in marketing, sales, call centers and after-sales service, but data quality is precisely where the shoe pinches in many companies.
 
Challenges

Undeliverable addresses - lower sales, high costs

Undeliverable addresses make mailing campaigns run out of steam and cause unnecessary postage and research costs. Invoices cannot be delivered, which results in non-payment, not to mention lost sales opportunities, since your promotional messages do not reach potential buyers.

Duplicates - dissatisfied customers, uncertain planning, unused up/cross-selling

Multiple data records (duplicates) are possibly even more problematic:
  • Important customer data is incorrect during a customer service call. The customer is disappointed and may turn to the competition. Lost sales are the inevitable result here.
  • Sales and marketing planning suffers, because duplicates prevent correct automatic classification of customers and require expensive manual correction.
  • Forecasts are distorted, which can lead to delayed or incorrect business decisions which hit your company hard.
  • Address selection for marketing campaigns becomes enormously complicated, which is why you may only be able to place your offers after the competition.

No confidence - starting signal for increasingly poorer data quality

Practice has shown that if users cannot access the requisite information in the CRM system quickly and with a high quality, the amount of care taken during data input and maintenance is normally also reduced. The result is a downward spiral of constantly decreasing data quality, which can only be stopped by a complete - and expensive - relaunch of the CRM system in the extreme case. Don't let things get that far and start making the requisite process improvements before it's too late.
 
Solutions

Uniserv Data Quality Solutions for CRM - modular, effective, cost-efficient

 
The modular Data Quality Solutions from Uniserv help you to turn Customer Relationship Management into a success factor for your company with correct, complete and duplicate-free data instead of it being a cost driver.

Uniserv solutions increase the success of analytical, operative, communicative and collaborative CRM. Special B2B and B2C solutions ensure effective implementation of your specific requirements. And even if you use an eXtended Relationship Management System (xRM) instead of a conventional CRM system, Uniserv solutions offer you measurable added value for your data and processes.
 
 
Data Quality Batch Suite for CRM: The complete product suite for the fully automatic batch check and cleansing of customer data in customer relationship systems.
 
Data Quality Real-Time Services for CRM: For securing your address data quality directly on data entry and change of customer data in CRM systems.
 
Our contribution to your CRM success: Quick, error-tolerant searching, automatic duplicate recognition and clustering of name and address data, data validation and enhancing or synchronization with other systems are only some of the functions of the Uniserv DQ Batch Suite and DQ Real-Time Services - our contribution to the successful use of your CRM system.
 
Advantages

Profit from all Uniserv Data Quality Solutions for CRM including:

  • Optimum data quality in the CRM system through analysis of the data during transfer from existing data sources and through permanent monitoring of new entries and changes (Data Quality Firewall)
  • Revision of the data (Data Cleansing) according to defined rules and by matching it against reference data (e.g. address, bank, geodata, telephone number index) in batch processing or in real-time
  • "Anti-aging" for your customer / prospect data through automatic integration of information on changes of address or company renaming both in the B2B and B2C environment
  • Automatic generation of a view of the household in the B2C market
  • Satisfied customers and stronger ties with the customer through high service quality on the basis of reliable customer information
  • Optimized sales and marketing planning and informed business decisions through up-to-date and precise reporting
  • Extensive analyses of consumer behaviour for effective use of upselling and cross-selling potentials
  • Effective, cost-efficient marketing campaigns through goal-directed address selection and correct, complete data for mailing campaigns
 
White Paper
Correct customer data are a key requirement for a succesful CRM system. However customer data become quickly obsolete through moving out, death or simply changing the telephone company.
Our white paper describes how to recognize and eliminate obsolete data to guarantee permanently your customer data quality.
White Paper CRM
 

Data Quality Audit for CRM


 

Are your data in your CRM system good enough? Find out with our Data Quality Audit!


www.uniserv.com  | 
2012-02-07
Sitemap | Webmaster | Privacy Policy | Imprint | © 2011 Uniserv GmbH