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Enterprise data pipelines are complex, but offer amazing opportunities, if you handle your enterprise data management properly.

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What is enterprise data management?

vietfriend.vn’s State of BI and Analytics survey of 500 companies found that 34% of them were increasing their investment in analytics and BI and expanding use cases. Companies looking to do more with data and insights need an effective EDM setup in place.

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Simply put, enterprise data management is the process of centralizing, standardizing, and organizing data in order to produce high-quality, accurate insights that improve a company’s decision-making and overall use of data. EDM involves a wide spectrum of activities directed toward organizing not only a company’s data but also its people.

Establishing an effective EDM system is no easy feat: this requires deep knowledge of the company’s structure and internal and external processes. The team in charge of your company’s EDM is focused on a set of processes, practices, and activities across the entire data lineage process.

What does enterprise data management do for your business?

Establishing a well-defined EDM framework primarily means defining and enforcing rules and regulations that will unify the way your business uses data in all its processes. Standardization across an enterprise is crucial for many reasons. First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data.

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EDM covers the entire organization’s data lifecycle:

It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data.It specifies data structure definitions for each dataset being used: the user of a particular dataset will immediately have the information about the type and structure of data contained in it.It ensures that business rules are valid and implemented in the right places within the process of transforming data into the final product.

The main components of enterprise data management

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling. The main purpose of setting up a functional data architecture is basically structuring and securing the operational environment in which the data will be stored and manipulated. Data security is also a part of this field.

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Scott Castle is the VP & GM for Cloud Data Teams at vietfriend.vn. He brings over 25 years of experience in software development and product management at leading technology companies including Adobe, Electric Cloud, and FileNet. Scott is a prolific writer and speaker on all things data, appearing at events like the Gartner Enterprise Data Conference, Data Champions, and Strata Data NYC.

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