DATA QUALITY
CONTROL SYSTEM

Implementation of ISO 8000-6 data quality
control system on your DWH

CUSTOMER:

  • organizations that actively use big data in decision-making
  • organizations that do not accept the risks of providing false data to the regulator
  • organizations that use one or more data warehouses and have complex landscape of information systems

TASK:

Implementation of the Data Quality Monitoring information system:

  • The need to develop a set of organizational and technical measures to improve data quality
  • The need to promptly identify missing data and data errors. Implementing an adequate response
  • Requirement to reduce the risks of missing data and receiving incorrect data

SOLUTION:

  • Defining a set of automatic control data checks - “controls”
  • Deploying utilities that implement the functionality of the Monitoring IS
  • Setting up the rules for calculating the reference values of indicators and deviations. Setting up logical rules for data validation
  • Setting up dashboards on the quality of business indicators: real-time monitoring and retrospective analysis
  • Enabling automatic notifications about the deviation of business indicators from reference values

DATA
QUALITY
CONTROL
SYSTEM

Implementation of
ISO 8000-6 data
quality control system
on your DWH

CUSTOMER:

  • organizations that actively use big data in decision-making
  • organizations that do not accept the risks of providing false data to the regulator
  • organizations that use one or more data warehouses and have complex landscape of information systems

TASK:

Implementation of the Data Quality Monitoring information system:

  • The need to develop a set of organizational and technical measures to improve data quality
  • The need to promptly identify missing data and data errors. Implementing an adequate response
  • Requirement to reduce the risks of missing data and receiving incorrect data

SOLUTION:

  • Defining a set of automatic control data checks - “controls”
  • Deploying utilities that implement the functionality of the Monitoring IS
  • Setting up the rules for calculating the reference values of indicators and deviations. Setting up logical rules for data validation
  • Setting up dashboards on the quality of business indicators: real-time monitoring and retrospective analysis
  • Enabling automatic notifications about the deviation of business indicators from reference values