Data Governance

Not a One Way Street – Information Management Also Supports AI

A growing amount of IT research discusses how artificial intelligence (AI) tools may support effective information management (IM), often through process automation. This is valid. But so is the inverse proposition, that effective IM supports productive use of AI and reduces its risks. Do not assume there is a one-way street: examine how enhancing IM practices now may support current and future AI initiatives.

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Approaching ICT Policies Systematically

There are frequent calls for yet another ICT policy, often overlapping existing ones. A holistic view – an ICT policy framework – can reduce the effort to create and maintain policies, and deliver benefits through increased compliance.

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The Dangers of Google Analytics’ Automated Data Migration to GA4

Google’s announcement of sunsetting Universal Analytics in favour of a new platform, Google Analytics 4 (GA4), raises questions about its data and privacy risks. Should enterprises think twice about consenting to the forced automated migration, or better opt-out and settle for a new analytics platform? What does this imply about the risks of automated data migration?

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Hopes and Dreams for When Data Mesh Meets Reality

The notion of data mesh is highly appealing, as business stakeholders desire ready access to data for analytics. In their eyes, they own the data and should have easy access in a manner that avoids the delays of a centralised data management approach. However, many organisations are buying into a simplistic and unworkable definition of data mesh, often treating the concept as a technology solution, rather than a governance philosophy. IBRS discusses the role of data mesh in organisations and how data analytics teams must function.

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Six Killers of Customer Segmentation & Personalisation

Cross-functional tasks among various departments provide better collaboration, especially when customer personalisation and customisation are employed. How should enterprises deal with the challenges that prevent them from analysing their customer behaviour, attributes, and trends?

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