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products - data quality

business pain:

            damaged customer relations
  The same customer treated differently across the organization (different contracts, different payment terms, and credit limits)
Poor customer record keeping
Customer must deal with multiple and inconsistent interactions resulting in poor customer service
Slower response to customer queries

            increased expenses
  Mailings sent to invalid addresses (increases printing, postage, and handling costs)
Multiple mailings sent to the same customer or supplier (invoices, catalogs, marketing materials, statements, payments)
High costs of processing multiple transactions

            lost time
  Employee time spent trying to resolve data errors
Delays in processing customer and supplier orders (due to poor inventory records etc…)

            slowdowns in productivity
  Processing inefficiencies
System errors

            difficulty in decision making
Fragmented or incorrect view of a company's operations
Different pricing strategies, inventory stocking methods for items
Inability to leverage buying power of corporation
Difficult to determine customer or product line profitability

eprentise® solution:
eprentise is a generic software product offering that is used to copy, merge, filter, and change different applications within an enterprise. This product can be used for finding and reconciling duplicates, mergers and acquisitions, divestitures, or simply bringing together different applications that affect the same business processes.
  Resolves duplicates and inconsistencies within a single database and between databases
Repeatable, rules-driven approach
Rules can be based on any number of criteria to identify candidate duplicates
Actually consolidates all transactions for duplicate records

eprentise value:
  Not only identifies duplicate records, but also resolves all corresponding transactions.
Enforces enterprise naming conventions.
Employs predefined lists of standards.
Identifies and resolves duplicate records more effectively.
Eliminates unnecessary records that cause processing inefficiencies.
Provides consistent information from a single record.
Creates the opportunity to provide better customer service by leveraging consolidated information.
In a typical production database instance, eprentise will find between 10% and 60% of the data is redundant.

eprentise competitive advantage:

Competing software identifies most duplicate data, but does not resolve all transactions without extensive custom code and development resources.

 

white papers: data quality
case studies: data quality case study
product data sheets:

data quality product data sheet



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