Data Quality Asssessment

The Impact of Data Quality

Data Assessment Framework

Data Quality Assessment Requirements

  • Have an idea about the quality of data
  • Raise awareness of the quality of data within the organization
  • Identify data quality issues before the projects to be realized such as master data management, risk management or segmentation etc.
  • Does the organization need a data quality tool?
  • Take actions on data quality to increase confidence in data within the organization

Data Quality Assessment Approach

Access Capabilities

  • Ability to access source systems such as
    • Relational databases (Oracle, SQL Server, DB2, PostgreSQL etc.)
    • Mainframes (Db2 for z/OS)
    • Big data platforms (Cloudera, Hortonworks, MapR, HDInsights)
    • Flat Files

Data Profiling Capabilities

  • Pre-defined Turkish data quality rules for name, surname, citizen number etc.
  • Column Profiling for gathering statistics such as
    • Value Frequency and Pattern
    • Null and Distinct value ratios
    • Max and Min values

Measure Capabilities

  • Definition of data quality weights
  • Displaying data quality results with different metrics such as
    • Accuracy
    • Completeness
    • Timeless
    • Uniqueness
    • Conformity