In a changing world of big data, real-time and AI development, organizations are trying to set up a data-driven organization. In such an organization, data needs to be accessible at a user’s fingertips, forward-looking predictions drive the decision-making and ad hoc questions can instantly be addressed.
Having this ambition, many organizations struggle in setting up a data platform built for growth and innovation. Traditional BI data warehousing enables enterprise reporting and gives access to governed enterprise information yet it often fails to support self-service BI, deliver real-time reporting, handle various data source types and answer forward-looking questions.
This white paper examines how a modern architecture – called a Modern Data Platform – can support both traditional BI needs and needs in big data, real-time and AI development. We examine the challenges of a traditional BI approach and define four dimensions in which organizations should modernize their data platform (Empower various data users, Enable scalable and parallelized computing, Be agile and deliver Fast and Think modular). We explain how a Modern Data Platform, built on Microsoft Azure, can enable both small and large organizations to build a data-driven organization.
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