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generally available on May 24, Alation introduces the Open DataQuality Initiative for the modern data stack, giving customers the freedom to choose the dataquality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.
It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may prompt you to rethink your dataobservability strategy. Learn more here.
Making DataObservable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Bigeye’s dataobservability platform helps data science teams “measure, improve, and communicate dataquality at any scale.”
Dataquality control: Robust dataset labeling and annotation tools incorporate quality control mechanisms such as inter-annotator agreement analysis, review workflows, and data validation checks to ensure the accuracy and reliability of annotations. Data monitoring tools help monitor the quality of the data.
Yet experts warn that without proactive attention to dataquality and data governance, AI projects could face considerable roadblocks. DataQuality and Data Governance Insurance carriers cannot effectively leverage artificial intelligence without first having a clear data strategy in place.
When we think about the big picture of data integrity – that’s data with maximum accuracy, consistency, and context – it becomes abundantly clear why data enrichment is one of its six key pillars (along with data integration, dataobservability, dataquality, data governance, and location intelligence).
Precisely CPO Anjan Kundavaram and Emily Washington, SVP of Product Management, will share exciting new Data Integrity Suite capabilities that support your end-to-end needs for accurate, consistent, and context-filled data. Ready to learn more about data integrity and ESG now?
Read our Report Improving Data Integrity and Trust through Transparency and Enrichment Data trends for 2023 point to the need for enterprises to govern and manage data at scale, using automation and AI/ML technology. To learn more about these and other data trends, download your free copy of the IDC spotlight report.
Alation’s usability goes well beyond data discovery (used by 81 percent of our customers), data governance (74 percent), and data stewardship / dataquality management (74 percent). The report states that 35 percent use it to support data warehousing / BI and the same percentage for data lake processes. “It
That means that for data to be trustworthy and ready to power the enterprise it should be accurate, timely, and contextually relevant. Consistency, accuracy, and completeness are aspects of data integrity, of course, but true data integrity extends much further than just dataquality.
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