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How AI Is Paving the Way for Smart Documentation Management

Dataversity

Remember the days when we used to stand in a queue to get a copy of a document? When it comes to document management, we surely have come a long way from using physical documents. The post How AI Is Paving the Way for Smart Documentation Management appeared first on DATAVERSITY. Now, everything is […].

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog. Make Enough Hires.

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BAs and POs: Are You Asking the Right Questions? 

BA Squared

Note: This blog post is an update to a previous blog post Five High-Impact Questions Every BA Should Be Using. This question often generates meaningful examples and scenarios that stick in people’s minds much longer than words in a giant requirements document. It’s been updated to address how we are working right now.

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Intelligent document processing (IDP) in logistics and transportation

Astera

Documentation forms an integral part of operations in almost every industry. Take logistics and transportation, for example, where companies process hundreds of thousands of documents daily to keep the goods in motion and the supply chain functional. So, what are logistics companies doing to handle such a vast number of documents?

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Connecting the Three Spheres of Data Management to Unlock Value

Dataversity

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

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Data Governance at the Edge of the Cloud

Dataversity

With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […]. The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY.