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Alation + Soda: Dynamic Data Quality with the Data Catalog

Alation

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Do we have end-to-end data pipeline control?

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Solving Three Data Problems with Data Observability

Dataversity

If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. The post Solving Three Data Problems with Data Observability appeared first on DATAVERSITY.

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Data Fabric and Address Verification Interface

IBM Data Science in Practice

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

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Trustworthy AI, Powered by Trusted Data

Precisely

You need to break down data silos and integrate critical data from all relevant sources into Amazon Web Services (AWS). Fuel your AI applications with trusted data to power reliable results. Here’s a snapshot of how you can address each: A more complete dataset helps you realize the full potential of your AI.

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Using Agile Data Stacks To Enable Flexible Decision Making In Uncertain Economic Times

Precisely

This requires access to data from across business systems when they need it. Data silos and slow batch delivery of data will not do. Stale data and inconsistencies can distort the perception of what is really happening in the business leading to uncertainty and delay.

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Data Integrity Trends for 2024

Precisely

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud. That approach assumes that good data quality will be self-sustaining.

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How to Stay Ahead with Sustainable Compliance for Financial Services

Precisely

Monitoring and improving business quality rules and technical quality rules to define what “good” looks like. Creating data observability routines to inform key users of any changes or exceptions that crop up within the data, enabling a more proactive approach to compliance. Internal controls and fraud detection.