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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 338
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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

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Building a Beautiful Data Lakehouse

CIO

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

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What is a business intelligence analyst? A key role for data-driven decisions

CIO

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

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The Evolution of the Data Warehouse in the Big Data Era

Dell EMC

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

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PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future

CTOvision

Editor’s Note: Pentaho’s open approach and value added enterprise capabilities are making it a very popular framework for knitting together organizational data holdings. PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future.

Big Data 105
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Simplifying Big Data Projects with Data Virtualization

Data Virtualization

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific.