Latest thinking.
Expert perspectives on data strategy, engineering, AI and governance from the InfoFlow team — built for African enterprise.
CX and Hyper-Personalisation: Getting the Basics Right
Technology alone can't solve all the challenges that stand in the way of improving customer experience. Diving into hyper-personalisation without solid processes, quality data, and a customer-first culture can worsen CX rather than improve it.
Don't Try Running With Data Before You Can Walk
To make the most of data technology, start with a strong enterprise-wide data governance and management framework. Most South African organisations have low data maturity and risk wasting investment in data mesh, AI, and analytics without first getting governance fundamentals right.
One-Stop Shop for Data Democratisation?
Simply making all data available to all users could prove chaotic and risky. Data democratisation is not as easy as it sounds — a huge amount of background preparation in governance, quality, and integration is required before data can safely reach everyone who needs it.
Data Monetisation Brings Rewards for Good Governance
Companies that have gone through the pain of a data governance journey find they are now ideally situated to take the next step. Data monetisation — deriving measurable economic benefit from data — builds directly on governance foundations already in place.
Take DataOps Approach for Quick Digital Transformation Wins
Data is a pivotal part of any modernisation initiative, so it must be the first consideration when driving a digital transformation journey. A DataOps model — tackling data maturity in small, high-impact projects — avoids the risk of large-scale project failure.
Sharing is Daring: Shared Data Puts Everyone at Risk
There is no doubt that shared data is data at risk, with multiple points in the data lifecycle when it needs enhanced protection. Data lakes and widespread sharing expose sensitive data, calling for encryption, masking, and obfuscation as essential defences.
How to Step Up Data Privacy in 2022
To take control of data privacy, companies must overcome the challenge of exponential data growth to discover and accurately classify all sensitive and personal data — then link privacy controls to a broader governance framework.