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DataIQ Awards Categories

The DataIQ Awards honours both companies and individuals that have demonstrated excellence in the data industry over the past 12 months. Now in its 10th year, we have 25 awards across five focus areas recognising great work, people and teams.

Headline Partner

Data enabling solution of the year

Who it’s for: Any product or service developed by a data or tech vendor.

How to win it: The winner will be an innovative product or service based in the application of data and tech to key processes for clients. The judges will be looking for a vendor or service provider who has identified an innovative way to deploy these resources for the benefit of the end-users they work with.

innovation

Best data-driven process

Who it’s for: Any data product or platform designed to support business processes within an end-user organisation.

How to win it: This category is for in-house data and tech services that have been applied to support, transform or innovate a value-driving process for the business. The winning entry will have originated from within a client-side organisation and leverages the skills and resources of the business itself.

innovation

Most innovative use of AI

Who it’s for: An application of artificial intelligence, machine learning or automation to introduce a new approach or service.

How to win it: Provide the judges with an insight into how a business opportunity or issue was identified that was subsequently resolved through the use of AI, ML or automation. The impact needs to be fresh and transformative, even if the target was a BAU process.

innovation

Breakthrough with data

Who it’s for: Any organisation which can show it has achieved significant uplift in a target metric through the application of data and analytics.

How to win it: From whatever your starting point, show us how you deployed a data set or analytical method to shift your organisation’s performance up to an entirely new and improved level.

innovation

Best data and AI ethics initiative

Who it’s for: Any framework or project aimed at putting ethics at the centre of data and AI usage.

How to win it: Ethics are a fundamental aspect of how data and AI get deployed by an organisation, ensuring there is alignment with expectations and cultural norms, as well as delivering commercial value within acceptable boundaries. Evidence of how this is being tackled, via ethics boards, frame-works or working parties, will convince the judges that your organisation is doing the right thing.

innovation