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How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

Although operations and sales departments tend to champion the use of data for business insight 3 , we’ve found that finance departments are often the first adopters of the Alation Data Catalog within an organization. This is because accurate data is “table stakes” for finance teams.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

These domain data leaders often cite the diminishing returns and significant effort of central data team engagement. Additionally, data silos and fragmentation often occur inorganically as in the case of merger or acquisition scenarios. Data Center, Data Management, Digital Transformation

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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The Data Catalog now contains references to the machine-readable data.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

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The What & Why of Data Governance

erwin

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. Because data is one of the success elements of a digital agenda or digital transformation agenda.

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. “You Using the metadata-driven Cinchy Data Collaboration Platform reduced a typical modeling and integration effort from 18 months to six weeks, he says.

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Why The Public Sector Needs Data Governance

Alation

A firm data governance foundation doesn’t just prevent private data from being stolen – it builds trust and accountabiity within data teams and across the public they aim to serve. What Are The Data Challenges Facing The Public Sector? Classify data: Organize structured and unstructured data into relevant categories.