Time to focus on meta analytics to harness mighty metadata
Metadata can be deployed for a great deal more than audit and forensics, and is already in use to support a myriad of applications today.
Data fabric focus to drive bandwidth, compute capacity demand
Data fabric solves the challenge of seamlessly accessing and consuming data, and functions in distributed and remote ICT and business environments.
Data governance has yet to mature
The management of the data landscape can quickly become a nightmare for even the most dedicated and skilled teams, due to the vastness and implications of the task.
AI in data management: The cream between layers of cake
Artificial intelligence has the capabilities to address the concerns that hamper adoption: data quality, data silos and the ability to explain how it arrived at a decision.
POPIA in force: A win-win for business and customers
Both companies and customers benefit when firms are POPIA compliant and secure permission to contact customers, as this ensures a target of willing clients.
Democratising data ownership for true ‘know your customer’
Inverting the ‘360-view of the customer’ model could create a win-win situation for both customers and vendors in an environment of infinite online possibilities.
AI offers solution to standardisation, automation challenges
Conflicting rules and decisions mean standardising processes is notoriously difficult, but machine learning / artificial intelligence offer a solution.
Should blockchain tech be regulated more, or is it too late?
With the POPIA deadline fast approaching, the use of blockchain for storing personal information may have to come under scrutiny.
A work in progress: Toward data swamps, lakes or oceans?
Are the days of data warehouses numbered, or simply morphing into an exciting new model for data platforms?
The data asset: What’s it really worth?
All data has intrinsic worth, but its real value lies in how an organisation uses it, and whether it is fit for purpose when needed.
Getting to grips with CECL risk forecasting best practice
Organisations have the data they need, but they must move to proper data governance and management to align with global risk forecasting models.