Data Governance

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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Why Enterprises Cannot Realise the Full Value of AI

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.

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The Value of Data Management: Trends

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.

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The Risks of First Party Data Sharing

Organisations are rapidly becoming aware of the value of first party data given the rise in global privacy regulations. However, even consent-based sharing of such information can put businesses at risk when staff are unaware of the repercussions of sharing data.

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Modernising Analytics In The Cloud – Governance

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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