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Unified Data Management

United Data Management (UDM) describes the process of consolidating disparate data sources to create a single data narrative within a data warehouse. In this way, companies can improve critical BI metrics such as the quality of aggregated data and the ability to scale.

What is unified data?

Unified data is when a company merges its many fragmented data sources into one, single central view. Unified data provides a more complete and accurate picture of a company’s data, but unifying the data is far from simple.

Why we need Unified Data Management?

Most organizations today follow a data-silo model with disparate systems catering to specific business segments with nil or very less correlation between them. These individual systems often engage different data integration and management frameworks and toolsets to cater to its segment-specific data interface and transportation requirement. See the full article for more details.

What is unified data model?

A unified data model creates an opportunity for an organization to analyze data from multiple sources in the context of shared business initiatives. A unified data model acts as a bridge between your different ecosystems, allowing you to contextualize data sources across multiple services.

What is unified data architecture?

A unified data architecture is a more comprehensive view of the overall enterprise architecture; a collection of services, platforms, applications, and tools that help customers define and deploy an architecture that makes the best use of available technologies to unleash the optimal value of data.

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