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Rethinking data analytics as a digital-first driver at Dow

CIO Business Intelligence

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. This not only involves transforming data into a competitive advantage but rethinking how we use and distribute D&A across our business and functions.

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Alation State of Data Culture Report: Bad Data Spells Trouble for AI

Alation

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). AI fails when it’s fed bad data, resulting in inaccurate or unfair results.

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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.

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The Value of Data Governance and How to Quantify It

erwin

Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative. erwin DG Webinar Series.

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Modeling, Modernization and Automation

BI-Survey

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema.

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Modern Data Architecture for Telecommunications

Cloudera

Optimization Data lakehouse is the platform wherein the data assets reside. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning.

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BI Adoption Trends: Learn From the Companies That Do It Best

BI-Survey

Although adoption rates for BI/analytics tools remain stuck in the 20% range, usage is increasing. Usage growth is primarily fueled by “off-license” usage from front-line workers using BI/analytics output embedded in operational applications as well as external users (e.g., Technical drivers. Global survey. Key takeaways.

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