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Top 10 Data Governance Predictions for 2019

erwin

And then, the European Union’s General Data Protection Regulation (GDPR) took effect , with many organizations scrambling to become compliant. So what’s on the horizon for data governance in the year ahead? We’re making the following data governance predictions for 2019: Top 10 Data Governance Predictions for 2019.

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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2019 was a particularly major year for the business intelligence industry. 1) Data Quality Management (DQM).

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s

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10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

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MRO spare parts optimization

IBM Big Data Hub

trillion, up from USD 864 billion in 2019 to 2020. Generative AI has the potential to deliver powerful support in key data areas: Master data cleansing to reduce duplications and flag outliers. Master data enrichment to enhance categorization and materials attributes. Results may vary.

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Data Governance and Strategy for the Global Enterprise

Cloudera

Adam Wood, director of data governance and data quality at a financial services institution (FSI). Thinking back to the conversations I had in late 2019, early 2020, most of the mainstream organizations I was talking to, meaning not the Facebooks and the Googles of the world, had very similar machine learning and AI journeys.