The benefit of spending a bit more time upfront to plan and consolidate data, to make it easier to work with, is not that difficult to buy into.

In the data-driven era, the ability to manage business data intelligently needs to start by focusing on making the data useful.

Open source is unrivalled in cost, flexibility, freedom, security and community, and has seen massive growth and acceptance in business.

Math and stats can tell us all sorts of interesting things about data, by identifying patterns and unlocking buried truths or secrets.

While the visual element is key, the core strategic component of data visualisation is the ability to unlock the story in the data.

This year's Business Intelligence & Analytics Summit 2019 has a much broader focus than in previous years, which reflects the fast-moving and changing face of BI and analytics.

Actual mimicked `human' interaction with a device, robot or machine is the stuff of the future.

When it comes to data virtualisation, there is a distinct difference between what was promised, versus the actual onsite experience.

Metadata management within the data and analytics space can be a leading source of developing a competitive advantage.

The rise of a global IOT network is creating an exponentially growing, giant, Internet-connected global robot.

With social data becoming more available to BI teams, companies are now able to dig into the psychology of the customer.

Data modelling is the cornerstone of successful data and analytics.