Data Governance and Quality Platform with Purview: 6-Wk Implementation

BizData

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

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 leveraging Microsoft Purview and setup a framework on Microsoft Azure to proactively monitor data quality and assign ownership to resolve issues.

EASE THE COMPLEXITY OF DATA MIGRATION AND REMEDIATION PROJECTS:

  1. Establish data readiness and define clear business requirements to migrate current state to future state processes
  2. Use a test-driven approach throughout the entire project lifecycle
  3. 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:

  1. Establish a knowledge base of rules to detect and track data issues from source systems, verify and reconcile analytic calculations
  2. Set up a Regression testing hub to continually test the ongoing integrity of your Microsoft Azure Analytics platform

ENSURE PROCESS COMPLIANCE AND GOVERNANCE:

  1. Monitor that data capture standards are being adhered to in Operational Systems
  2. Set standards for accessing, distributing and publishing data
  3. Establish Master Data and Meta-Data processes and stewardship

SOLUTION ENGAGEMENT:

This unique 6 week engagement will include:

  • Workshop to understand data ecosystem
  • Initial Microsoft Purview deployment
  • Set up a data catalogue for a single data source
  • Define a data glossary template
  • Workshop to document high level processes and define Data Quality Rules and Alerts
  • Configuration and implementation of SaaS Data Quality platform: Loome (Trial Period of 60 days)
  • Issue Analysis and recommendations
  • Review workshop to prioritise identified business rules and configure alerts
  • Provision of a Power BI Data Quality Dashboard

Upon completion, a comprehensive handover session will be conducted including documentation of processes, rules and alerts as well as a sample set of rules and alerts pre-configured in Loome with a customised and integrated Power BI Report.

*NOTE: All terms, conditions and pricing are subject to each engagement.

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