Coscend Communications Solutions
"Coscend is at the vanguard of a new evolution in telco OSS/BSS systems integration."
  
Caroline Chappell, Analyst
Data Quality and Integration Service Factory
Repair and enhance the value of data.

Challenges
  • Ever increasing amount of data and data sources.

  • Newer software requires newer data, newer data schema often differs from the existing schema and/or will have additional data columns for the newer functionality to work effectively.

  • Enable older applications continue to execute side by side to the newer applications with newer data.

  • Merge records from various databases each time a query is made.

  • Applications access various data structures from various databases.

  • Increasing amounts of stored data have to be merged.

  • Customer information is often gathered from multiple sources.

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Results
  • Increased data storage and security requirements.

  • Multiple solutions (that are brittle) that would be situation specific.

  • Increased cost of data management.
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Tool (Solution):  Coscend's Data Quality and Integration Service Factory
 A set of tools and utilities that repair, integrate and enrich the data.
 		Key Features
  • Data schema differences are identified.
  • Carries out the changes to the schema.
  • Provides a logic which changes the existing records to a newer schema.
  • Populates the data per a new schema.
  • Verifies the changes.
  • Unifies and presents all the data needed for a customer in one single request.
  • Identifies misspellings, differences in word order, and synonyms or abbreviations, which are defined in domain specific thesaurus.
  • Provides the means to eliminate erroneous or unclear information already in the production phase, and thus makes it easier to find, analyze and further exploit information.
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Benefits
  • Easier data management:  A single solution that can handle a variety of scenarios.
  • New features can be added without breaking existing features – low cost of maintenance and enhancements.
  • Applications run per design without worrying for computing data relationship at run time.
  • Increased efficiency (throughput).
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Impact
  • Greater customer satisfaction.
  • Low cost.
  • Accelerate time to market.
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