Risk management and mitigation

Published: 31 January 2018

Data governance is the structured process an organisation follows to ensure the quality and longevity – and therefore usefulness - of data throughout its lifecycle; including establishing policies and ongoing monitoring of their proper implementation by members of a governing body determined by the organisation.

In providing data governance that encompasses all data assets across an organisation, TD GLOBAL ensures a unified view of information as well as a way to manage irregularities or data quality issues before or as they arise.

Key focus areas of data governance are:

  • Availability - ensuring critical data is available at the right time to the right person, in a standardised and reliable form for improved efficiency and productivity
  • Usability – data management, including collating, revising and standardising data to maintain accurate, consistent and high-quality data that is fit for use
  • Integrity - governance frameworks address regulatory mandates, audit issues and data quality, ensuring data integrity and value
  • Security – threat management security solutions are a key part of data management, alerting personnel to potential and actual threats and mitigating damage

Outsourcing data governance to specialist companies like TD GLOBAL means organisations can rest assured that their data is clean, meets legal standards, is accessible and secure.


... and the rewards of governance

The vast business opportunities created by data collation bring with them a degree of risk, which are growing in number and severity. There is also increasing scrutiny on organisations’ data governance practices by legal entities. As data management specialists, TD Global covers risk management within the governance strategy we design for your organisation, providing:

  • Risk management as an integral dimension of data governance
  • Archiving and sharing parameters that meet security standards
  • Physical storage and backups, including encryption
  • Checking and updating data integrity on an ongoing basis for data that can be trusted