Data Quality

Before a Data Re-Engineering solution can be developed and implemented, an evaluation of the state of the current information environment is required. The Data Quality Assessment (DQA) is designed to provide a comprehensive evaluation of your enterprise’s data and business information needs in order to successfully implement a new data application. The demand for Data Quality initiatives is being driven by the following key business objectives:

• Understanding the heterogeneous nature of data that exists in an enterprise

• Achieving a constant level of consistency & accuracy of data in source system

• Creating a standard, repeatable process with defined user roles and responsibilities (both technical and business users) to completely discover and assess data sources

• Accurate and clean data requirements of business lines to make key business decisions

• Standardizing source systems to common Enterprise data model

• Cleaning of master data sets to remove duplicate, incomplete and inconsistent data

Intelligium has a comprehensive framework for Data Quality Assessment (DQA) services that includes:

• Data Assessment plan

• Data Assessment Architecture design

• Source system Meta Data analysis report

• Business rules assessment report

• First data assessment execution and an inventory list of data quality issues

• Recommend solution to address identified data quality issues