Data governance beyond POPIA
A main objective of data governance is to understand your company’s data by defining clear policies, practices and procedures, says Grant Long, practice lead for data privacy at Altron Security.
A blueprint for achieving data-driven decision-making abilities
Most organisations still struggle to turn data into insights, hampered by outdated tools and processes, and old ways of thought, says Jacques du Preez, CEO of Intellinexus.
POPIA drives data governance best practice to top priority
With the fast-approaching POPIA deadline, there is growing urgency to implement data governance best practices to control and monitor data management.
Putting a positive spin on data governance
With data having become the ‘new oil’, it may be time to use a different term for data governance when having discussions with business.
Handling the changing data governance landscape
It is vital to adopt a more strategic method to ensure compliance, and imperative to understand what data you already have, says Johan Scheepers, country head at Commvault SA.
Data governance 3.0: Running business according to data
Data governance has evolved and is no longer the sole responsibility of data stewards.
Building a vibrant data economy in Africa
There is an urgent need to prioritise a compelling and cohesive mission and strategy to build an African data economy.
White paper: How to make your data catalogue the central point of your data governance strategy
Organise and leverage your data catalogue into a complete enterprise data governance console.
Linking governance to compliance (and making auditors happier)
Moving data governance from a purely technical exercise to a higher level gives organisations greater oversight and supports compliance.
Accelerating GDPR compliance through data governance
Companies that leverage data governance accelerators for GDPR will achieve compliance more quickly and at a lower cost, says Master Data Management.
Benefits of GDPR compliance
The General Data Protection Regulation deadline could be a useful catalyst for getting data life cycle management back under control.