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What is data analytics? Analyzing and managing data for decisions

CIO

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics methods and techniques.

Analytics 332
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What is business intelligence? Transforming data into business insights

CIO

Although business intelligence does not tell business users what to do or what will happen if they take a certain course, neither is BI solely about generating reports. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

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Business Analytics tools & use cases

Apiumhub

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

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Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science

CTOvision

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends.

Big Data 103
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Top Data science blogs to follow

Apiumhub

This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. In addition to offering advice and learning resources, this list of data science blogs is also full of current news, trends, and opinions from professionals. Top Data Science Blogs to follow.

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Data Summit 2023 Event Recap

Datavail

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90