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Data Analytics & Data Science

As data becomes more intrinsically key to business success, the implementation of a coherent data strategy becomes paramount. This section explores the components of good data strategy management, covering topics such as scalability, new technology, multichannel co-ordination, avoiding the data silo problem, and developing a data driven culture within the enterprise.

Data scientist job description: the skills required, the frustrations and how to flourish

Business Skills

Data Analytics & Data Science

Data gurus’ comment on Revoke Article 50 petition

Data Analytics & Data Science

Overcoming legacy and more stringent regulation with data science

Data Analytics & Data Science

Why HR departments need to use data for enhanced employee relations

Data Analytics & Data Science

The power of learning analytics to transform your organisation

Data Analytics & Data Science

Data intelligence – is edge analytics the saviour of IoT?

Data Analytics & Data Science

Extracting data from the mainframe to leverage innovation

Data Analytics & Data Science

How a small company can make use of data

Data Analytics & Data Science

Extracting data from the mainframe to leverage innovation

Data Analytics & Data Science

How a small company can make use of data

Data Analytics & Data Science

How stream processing and data analytics can bring smart city projects to life

Data Analytics & Data Science

Data: how it can go wrong

Data Analytics & Data Science

A look at data analytics in the financial services industry: use cases and challenges

As global fraud continues to grow, data analytics is being used as the secret weapon of financial institutions. Yet there are still challenges ahead for data analytics in financial services. False positives have lead to banks blocking legitimate customer transactions.

Data Analytics & Data Science

New research finds business intelligence tech leads to 24% higher revenue

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Tips for making sure your AI-powered FP&A efforts are successful

AI has the potential to make business finance modelling projects more efficient and impactful, but only with the right approach

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Would you let an AI robot handle 90% of your meetings?

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