
A Closer Look at the Data Science Strategy of Microsoft
A modern data and analytics platform that harnesses data's power to discover trends and make predictions is one of the building blocks of digital transformation.
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CIO Applications Europe | Wednesday, April 14, 2021

A modern data and analytics platform that harnesses data's power to discover trends and make predictions is one of the building blocks of digital transformation.
Fremont, CA: These days, big data is everywhere. Data is collected at any stage of an organization's activity, including product creation, production, supply chain management, operations, sales, and customer service. Businesses today have no lack of data in terms of quantity; the challenge is unlocking the immense potential of that data and extracting value from it as a resource.
The days of siloed, monolithic data stores are long gone, and those that remain are inadequate for business needs in today's digital environment. Microsoft is modernizing its data estate as part of its digital transformation to unlock the power of Artificial Intelligence.
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Modernizing the data estate entailed bringing together data from across the enterprise and making it discoverable, trustworthy, understandable, and trackable. This has enabled the company to optimize it for advanced analytics, machine learning, and artificial intelligence (AI), which have transformed its business. Microsoft has taken a number of steps to modernize its data estate and realize its full potential.
Modernizing a data estate is not always simple; it necessitates the introduction of new systems, the use of new technologies, and the establishment of champions to see cultural changes through. Microsoft has been undergoing this transition. The organization worked hard to begin treating its data as a strategic asset and to fully capitalize on the opportunities offered by AI.
A modern data and analytics platform that harnesses data's power to discover trends and make predictions is one of the building blocks of digital transformation.
By implementing a modern data and analytics platform, the organization would be able to collect, store, and process data of all types and sizes from any data source.
This greater understanding of data unlocks useful insights, making it easier to recognize patterns and threats that help Microsoft ship on schedule, deliver a high-quality product to customers, reduce business costs, and improve internal operations.
The data and analytics platform at Microsoft propels the company's business forward. Businesses all over the world are changing the way they treat the scope and depth of big data now that they have access to the power of AI and machine learning. Applying these innovations to Microsoft's modernized data estate has allowed the organization to discover profound market insights that it was previously unaware of.
In addition to uncovering actionable insights, using advanced analytics on data allowed Microsoft to report more reliable financial predictions, discover new product and service opportunities, streamline operations, and improve the customer experience.
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