Data Governance and Quality

Ensure that your data is reliable enough to support efficient operations and strategic analytics initiatives.

Overview

Reclaim valuable time and resources trying to resolve data quality issues on-the-fly or verifying data for analysis. Becoming a successful data-driven organisation requires a proactive approach to identifying and resolving data quality issues, and a clear roadmap of initiatives to ensure that data is accessible and meaningful.

Our experienced team of data quality specialists will help you establish your data governance processes and setup a framework to proactively monitor data quality and assign ownership to resolve issues.

Ease the complexity of Data Migration and Remediation projects
  • Establish data readiness and define clear business requirements to migrate current state to future state processes
  • Use a test-driven approach throughout the entire project lifecycle
  • Establish an integration architecture that allows continuous improvement of Data Transformation and Cleansing rules leading up to cutover of systems
Uphold trust in Analytics Systems
  • Establish a knowledge base of rules to detect and track data issues from source systems, verify and reconcile analytic calculations
  • Set up a Regression testing hub to continually test the ongoing integrity of your Analytics platform
Ensure Process Compliance and Governance
  • Monitor that data capture standards are being adhered to in Operational Systems
  • Set standards for accessing, distributing and publishing data
  • Establish Master Data and Meta-Data processes and stewardship

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