Companies that have a functional data quality framework are more likely to be at an advanced maturity level with regards to analytical capabilities.

We have yet to see an increase in the synergy and co-operation between data science and IT.

Cobots will become the friendly face of workplace automation, actively designed and marketed as a partner that will work alongside us.

Choosing the right project delivery approach is key for big data project success.

A data management strategy is only as effective as those driving and managing it allow it to be.

Scientists incorporate tireless computers in their arsenal of weapons in the fight to save our wildlife, oceans and planet.

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.