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Understanding the business value of a data-mesh architecture

By Kirsten Doyle

For organisations in every sector to harness their data to gain maximum benefit, they need to turn raw data into actionable insights to meet the business's needs. This starts with defining ownership and putting data back into the heart of the business.

So says Caroline Herron, enterprise data architect, digital & data solutions, Capitec Bank, who will be presenting on “Understanding the business value of a data-mesh architecture”, at the ITWeb Business Intelligence Summit, to be held from 7 to 9 March, at The Maslow Hotel in Sandton.

ITWeb BI Summit - 7 to 9 March 2023

Come and hear from a wide range of local and international experts, who will unpack all the burning issues in the BI, data and anlytics sector over three days of insightful presentations, lively panel discussions, and interactive workshops. The ITWeb BI Summit is the event for BI, data, analytics, and AI professionals and decision makers. For more information and to register, click here.

Traditionally, she says, data teams managed data either centrally or in controlled and highly governed environments, limiting the ability of the business to work with its data at speed.

“Ensuring the data has business context has also proved challenging, and has been hampered by long development lifecycles.”

This, says Herron, is why implementing a data mesh or data architectures is the next evolution in many organisations.

In essence, a data mesh is a decentralised data architecture that organises an organisation’s data by a particular business domain, such as sales, marketing or customer service.

This gives more ownership to the individuals that produce a specify dataset and enables them to set data governance policies that focus on documentation, quality, and access.

During her presentation, Herron will provide an overview of what data mesh architectures entail, in terms of both data at rest phase, and in real-time. She will also highlight how businesses can derive maximum benefit from their data assets.

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