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The state of data quality in 2020

O'Reilly on Data

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. They don’t have the resources they need to clean up data quality problems.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. ROI on the automation solutions was realized within the first year. Metadata-Driven Automation in the Pharmaceutical Industry.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

But it is not a failure — its actual success (and positive ROI) is discovered by the graph analytics algorithm through the transitive relationship between the marketing campaign and the final customer purchase, through an intermediary (entity-in-the-middle)! The campaign looks like a failure. community detection ).

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

If it costs more to detect and remove incorrect phone numbers in your dataset than it costs to make that number of wasted calls or send that many undeliverable text messages, then there’s no ROI in fixing the numbers in advance. “A Missing trends Cleaning old and new data in the same way can lead to other problems.

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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. There are a number of variables that affect the ROI of digital marketing creatives. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Metadata is important in digital marketing.

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

datapine

More generally, low-quality data can impact productivity, bottom line, and overall ROI. No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. Data Quality Management Best Practices.

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Enhance data governance with enforced metadata rules in Amazon DataZone

AWS Big Data

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.