Data science - DataIQ

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Developing future talent – Anumana Code Academy

Data leaders are creating academies and programmes to reach young students to remove the barriers to entry for data careers and improve diversity in future talent pipelines.

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DataIQ Member’s briefing – How can data governance support data for good?

At the most recent DataIQ roundtable, participants examined how their data governance can directly impact data for good and what it means to them.

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Data literacy – Not adding up for finance

New findings show that data literacy, a cornerstone of the DataIQ Way, will be the most sought-after skill for financial services by 2030 as confidence levels among staff slip.

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Corndel and Imperial College Business School – Developing data skills and talent

In response to unprecedented demand, Corndel has teamed up with Imperial College Business School to create professional apprenticeships that organisations can utilise to increase their capabilities in data management, leadership and technology.

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Sustainability data – Building an ESG data framework and data platform

There is a growing need for businesses to develop and expand their ESG frameworks and data platforms to measure operational sustainability. DataIQ spoke with Niresh Rajah from Grant Thornton about ESG for data.

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UK poised to become next AI and ML superpower

The UK is surpassing European rivals when it comes to the use of artificial intelligence. This development is gearing the UK to become the next AI superpower across Europe and the wider world.

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Data projects in 2020 – shopkeepers, speedboats and storms

Last year presented as many opportunities as challenges for DataIQ Leaders members, from delivering long dreamed-of data migrations to digital transformations and leading-edge innovation. During a roundtable in February 2021, two very different types of project were identified which have mutual benefits and dependencies.

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Seven steps to building an analytics community

Building a successful and lasting analytics community takes time and effort. Liz Matthews of Mango Solutions looks at some useful steps that organisations can take to establish and maintain a thriving collaborative approach.

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DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology

According to recent research carried out by DataIQ, around two-thirds of organisations (63.6%) are pursuing customer data integration as part of their digital transformation. Yet only one in ten (10.2%) have achieved this nirvana. This whitepaper considers the challenges of enterprise-wide data integration across the data estate.

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Why building an analytics community is key to data-driven transformation

Your organisation needs analysts and data scientists to thrive. They need a community to thrive. Liz Matthews of Mango Solutions explores why enabling them to network and share is critical to a successful practice.

Tag: Data science

Developing future talent – Anumana Code Academy

DataIQ Member’s briefing – How can data governance support data for good?

Data literacy – Not adding up for finance

Corndel and Imperial College Business School – Developing data skills and talent

UK poised to become next AI and ML superpower

Data projects in 2020 – shopkeepers, speedboats and storms

Seven steps to building an analytics community

DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology

Why building an analytics community is key to data-driven transformation

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