Analytics Transformation: Modernising your data platform for scale and agility

Analytics and AI are two of the most disruptive, and potentially impactful, technologies across the enterprise. But a lot of organizations are struggling to get the value and scale out of their investments in data. In this webcast, leading experts will discuss the characteristics of successful data-driven organisations, best practices for modernising data architectures, and the steps and solutions needed to move analytics beyond the proof-of-concept stage to enterprise-wide deployment.

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Isaac Sacolick


Simon Thomas

Simon Thomas


Pradeep Raman

Pradeep Raman


Data Modernisation and Intelligent Analytics with Microsoft Azure

Organisations of all types — business, educational, and governmental — have heard for years about the myriad ways in which they can exploit digital data. But many IT and business executives continue to struggle with extracting the value submerged within the oceans of data now available to them. This inability to turn data into useful insights is not all that surprising, given a modern data landscape that is far more complex than just a few years ago. The number and type of data sources have exploded, as has the volume of data they produce. Download our whitepaper for more information.

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Why and how should I modernise my data platform?

Daniel DeMarco explains how to create a strong data strategy and roadmap for all your data modernisation initiatives.

Analytics and AI

Create the advantage you need for the future-ready business.

Microsoft Azure

Exploit the ever-expanding power of the cloud.

Next steps

Find out how our insights can be applied to help your business realise results.

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