Remove 2022 Remove Data Quality Remove Metadata
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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Data Virtualization can include web process automation tools and semantic tools that help easily and reliably extract information from the web, and combine it with corporate information, to produce immediate results. How does Data Virtualization manage data quality requirements?

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IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Quality Solutions

IBM Big Data Hub

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

As I recently noted , the term “data intelligence” has been used by multiple providers across analytics and data for several years and is becoming more widespread as software providers respond to the need to provide enterprises with a holistic view of data production and consumption.

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How to Use a Data Lineage Tool to Ensure Data Quality

Octopai

Data lineage tools give you exactly that kind of transparent, x-ray vision into your data quality. Data Supervision. This is why effective data management and governance requires actually appointing people to be data owners and data stewards. Everyone agrees that data quality is important.

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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

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7 enterprise data strategy trends

CIO Business Intelligence

Data fabric is an architecture that enables the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems. The fabric, especially at the active metadata level, is important, Saibene notes.