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Why Automated Data Extraction Matters in the Digital Age

Dataversity

As most of these business documents contain unstructured data, automated data extraction has become a go-to option for […]. The post Why Automated Data Extraction Matters in the Digital Age appeared first on DATAVERSITY.

Digital 130
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Leveraging Big Data With State-Of-The-Art Business Dashboards

Smart Data Collective

The quest to collect more data can sometimes get in the way of valuable data that provides clear, relatable, and up-to-date information that helps you make critical business decisions. The post Leveraging Big Data With State-Of-The-Art Business Dashboards appeared first on SmartData Collective.

Big Data 259
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What Makes Intelligent Document Processing Essential in Today’s Healthcare?

Astera

IDP acts as a lifeline for healthcare organizations, helping them quickly sift through unstructured data so providers can retrieve vital information exactly when needed. This automation leads to lower operational expenses, allowing resources to be allocated more effectively while ensuring that patient care remains the top priority.

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Data Warehousing: Stepping into the Future

Astera

But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. In today’s digitized era, organizations must adapt to the evolving data infrastructure needs to keep up with the technological-driven innovations. Does that mean it’s the end of data warehousing?

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The Role of Data Integration in Building an Effective Enterprise Data Architecture

Astera

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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The Role of Data Integration in Building an Effective Enterprise Data Architecture

Astera

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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3 Steps on the Data Integration Roadmap

Domo

The first step in the data integration roadmap is understanding what you have. “Organizations should start with a data discovery exercise,” says Isaac Sacolick, President of StarCIO and author of the book Driving Digital. ” In the process, reign in dark or unstructured data.