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Data Quality in e-commerce keeps the cash flow moving
 

Data Quality in e-commerce keeps the cash flow moving

 
Business applications in e-commerce or Web portal applications have one major difference from other business applications: the operation and data input are carried out directly by the customer or prospective customer and not by trained personnel. Input errors - whether deliberate or inadvertent - are a daily occurrence here. These errors affect the data quality and can have a significant impact on smooth, quick transactions and a dependable cash flow.
 
Challenges

Incorrect or undeliverable addresses - costs go up, sales go down

There are many reasons for incorrect or undeliverable addresses. All have one thing in common: unnecessary additional costs and lost sales for Internet mail order companies and operators of webshops.
  • Typing errors prevent merchandise from reaching the customer and cause additional research costs. Postage discounts can be reduced or cancelled by the post carrier if mass mailings include a large number of incorrect addresses.
  • Data entry errors caused by unclear or unavailable input masks make correct input more difficult or assign data incorrectly – this is a particular problem in international applications with different address structures. These have to be manually cleansed with a high investment of time and operating costs. Customer satisfaction and customer retention are also affected.
  • Deliberate incorrect entries (joke addresses) start dispatch processes which cost money and have to be reversed with great effort.
  • The merchandise may not be delivered as a result of out-of-date addresses which are not updated by the customer, thereby generating high costs for return delivery and re-sending.
     

Duplicates – unnecessary additional costs, unused up/cross-selling

Multiple data records (duplicates) are also problematic:
  • Logons to Web portals are unintentionally executed several times and lead to duplicate data.
  • Intentional new accounts, e.g. for unwanted or illegal comments in forums, self-promotion, SPAM or orders which are regularly not accepted or unpaid.
They not only cause costs for cleansing the data, but also falsify the single view of the customer. Analyses e.g. in CRM applications are made more difficult, upselling and cross-selling potentials cannot be used cost-effectively.
 

Incorrect bank details - Sender pays the charges

Incorrectly entered bank details lead to delays in delivery and payment and additional research costs in the best case and to high costs for failed debit transactions or even complete non-payment in the worst case. The sender pays the bill in every case.
 
Solutions

Uniserv Data Quality Solutions for e-commerce – maximum data quality for smooth transactions

Uniserv Data Quality Solutions help you to operate your e-commerce applications and online shop successfully. Up-to-date, correct and consistent data starting from data entry ensure reliable deliveries of goods, fast cash flow, plannable revenues and satisfied customers.

Data Quality Batch Suite for e-commerce: The complete product suite for the fully automatic batch check and cleansing of customer and address data in e-commerce applications.
 
Data Quality Real-Time Services for e-commerce: For immediate protection of your data quality with data entry in online systems by customers.
 
Our contribution to successful e-commerce applications and Web portals: 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 e-commerce application.

 
Advantages

Profit from all Uniserv Data Quality Solutions for e-commerce and Internet portals including:

  • Optimum data quality through permanent monitoring of initial data creation and changes (Data Quality Firewall)
  • Reliable 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
  • Fast, reliable deliveries of goods with satisfied customers and strong ties with customers
  • Lower postage costs for mass mailings through high quality address data
  • Extensive analyses of consumer behaviour for efficient use of upselling and cross-selling potentials on the basis of up-to-date, correct and duplicate-free customer and transaction data
  • Reliable cash flow with plannable revenues and a minimized risk of delays in payment or non-payment through precise order and customer data
 


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2012-05-17
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