ICT policies often leave even seasoned executives uneasy, perceived as lengthy, endless compliance exercises yielding little reward beyond periodic reviews.
As users take more control of what information they share through utilising ad blockers, disposable emails, and even limiting the data which they reveal whilst using digital services, is zero party data the best way to ensure enterprises still acquire valuable user information for marketing and other data-driven business decisions?
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.
Assurance of data integrity is the key to surviving a cyber incident. How do you increase your probability of success?
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.
What makes Tim Berners-Lee’s Solid project capable of bringing changes in the way we interact with the internet? IBRS explores how this affects control over personal information and its implications for organisations.
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?
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.
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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