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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

In 2019, the U.K.’s Even the COVID-19 pandemic and the acceleration to digital transformation — when data and data insights became two of the main business drivers — haven’t improved the situation. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. .

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Intense competition at every level. Source: Gartner Research).

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. Ambiguity already exists in the business problem and in the variety of information one can bring to bear to solve it. Accessed on 2019-08-01. [4]

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What Is Embedded Analytics?

Jet Global

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent. Which features can wait?

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The year of the data catalog

Alation

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.