Microsoft digitization

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Read more. Industry and 3rd party news , Media , Telecommunications. Both of these services integrate with and enable the development of data products within the EDL,without needing data to be copied and proliferated. The Enterprise Data Catalog is the single destination for our data consumers to find and gain access to the data and data products they need. The EDL Metadata service sends metadata published to the data lake to the catalog for discovery. Broader data sources—transactional data systems and master data, for example—are also registered in the catalog.

Phase one involves working with business units throughout Microsoft to gather information about their existing data systems and needs, then using the enterprise data management features in Azure to move data from individual business unit platforms to the EDL. Once their data is on the EDL, the business units can interact with the EDL to perform all the data capture and analysis they had previously been performing on their own platforms.

In phase two, remaining business units will migrate all their data to the EDL. At the end of phase two, all business units will be onboarded to the EDL as platform tenants. The EDL will provide a complete range of managed services for data ingestion, computation, and data cube construction and maintenance. Finally, during phase three, Microsoft Digital will be working with Microsoft operations teams and external parties to bring even more data into the EDL, including data from internal operational sources such SAP ERP and Adobe Experience Cloud, as well as data from external sources such as partners, external data brokers, and others.

The ultimate goal of these initiatives is to facilitate the creation of intelligent data products, and to reduce the time it takes to build, measure, and evolve those products. Microsoft generates, captures, possesses, and analyzes vast amounts of data. By building the Modern Data Foundations, Microsoft Digital has democratized and consolidated access to that data throughout Microsoft. In doing so, we unlocked the raw materials needed to build more predictive, proactive, and intelligent experiences.

The efforts described here also create significant efficiency gains. In many cases, the time it takes to find and gain access to the enterprise data needed to build intelligent experiences has been reduced from weeks to hours with the exception of access requests that require manual review, which now takes days instead of weeks.

These efficiency gains happen at the outset, beginning with data access, but have a ripple effect throughout the processes that follow. Reduced cost is a byproduct of the greater digital transformation, but it is not necessarily the end goal.

Post-transformation, spend is more efficient and proportional to growth. Additionally, the elimination of multiple business unit platforms reduces the security and governance vulnerabilities that arise as an organization strives to manage so many separate platforms.

In the process of this digital transformation, Microsoft reduces its financial and reputational risk simply by reducing the exposure created by having so many discrete systems to protect against a breach. Customers who follow a similar path can, of course, expect the same. Microsoft is a mature organization; the company has evolved and expanded, both organically and by acquisition, for more than 40 years.

That evolution has led to the creation and maintenance of many discrete silos of data, each one reflecting the needs of the internal organizations that generated, captured, or consolidated that data. By gathering previously siloed datasets into a single Enterprise Data Lake we created a single system of intelligence, a credible foundation upon which we can make well-informed, data-based decisions about the work we do and the products and services we deliver.

Moreover, this strategy enables us to govern and secure our data assets more efficiently and effectively using the centralized enterprise data management capabilities of Azure. This results in lower operating costs and greater confidence in the integrity of data that we share with regulators and other stakeholders who have a duty to monitor certain activities of the corporation.