Home > Services > Data Migration Services > Related Information > Data Quality, Governance and Health Check
The Data Quality Issue
One of the biggest challenges in a data migration project is typically the poor quality of legacy data. Incomplete, inaccurate, unstructured or duplicate data can derail an entire implementation.

Using tools and libraries of templates, our content specialists can handle the most difficult data cleansing projects as part of the end-to-end migration. Our specialists can profile, standardize, correct, enrich, de-duplicate and classify various types of enterprise data with great accuracy and consistency.
Data Monitoring & Governance
Data governance refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. A sound data governance program includes a governance team, a defined set of procedures, and a platform to enforce those procedures.

Our solutions and technical platform extend beyond data migration and data quality into data monitoring and governance by checking and controlling the quality of new data creation across the enterprise, as well as providing templates for consistency across locations and users.
What is the Data Health Check Methodology?
The Data Health Check is a process conducted to objectively assess the quality and characteristics of any data source. It is the logical first step to establish overall health (the what and where) before any data transformation can take place. In doing so we not only uncover what needs fixing today, but also establish processes to keep your data clean on an ongoing basis.
  • While it can be conducted any time, changes to systems, new implementations or corporate events such as M&A are typical trigger points
  • Carried out on a representative sample of data to determine the quality and characteristics of an organization's data
  • Conducted by Content Engineers who also have domain expertise in the related industry
  • Requires comprehensive testing, analysis and comparison with standards
  • Findings are delivered on easy to follow drill-down views
  • Report concludes with recommendations on data transformation and potential process improvements
  Related Information
Data Quality, Governance and Health Check
Our Approach
Terms of Use | Privacy policy | Feedback | Sitemap
Copyright © 2008 ITAbode