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?
As AI continues to evolve, data privacy and security threats can pose critical concerns in workplace technology. How can enterprises use AI as a tool to secure privacy and ensure regulatory compliance and data protection?
With AI now being recognised as a transformational asset in enterprises, companies that have joined the bandwagon because of a need to automate operations or out of fear of missing out often fall short of realising the full benefits of AI. IBRS discusses the reasons behind this and how they can optimise their AI spend.
Misconceptions about data management risk leakage and theft of enterprises’ highly sensitive information. What are the false beliefs that jeopardise organisational information security?
Organisations need to address their data management capabilities and limitations to better manage making the right information available to the right people. In this advisory paper, IBRS discusses key trends that offer the best opportunities for enterprises to adopt information management (IM) practices in the workplace.
The rate at which data is being generated by and for use in marketing and customer services is accelerating. This increase in both data velocity and volume is forcing organisations to refocus efforts on compliance with security and privacy mandates, not just locally, but globally.
Enterprise Cloud environments are best managed if proper data warehouse governance is implemented through procedures, policies, and processes that promote accessibility, serviceability, integrity, and security of data in the Cloud. How can organisations build effective data governance measures to ensure the consistency and trustworthiness of their stored information?
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