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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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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.

Analytics 215
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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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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. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Enterprise Cloud Analytics with Amazon Redshift.

Big Data 109
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Arena raises money from Peter Thiel and David Petraeus for its decision-making AI

TechCrunch

Can AI automate enterprise decision-making? ” Arena clients feed the platform data like SKU-level sales, pricing, inventory at the location level and shopper behavior during e-commerce sales. . Our technology is expressly designed to handle shocks — cases where past data no longer represents the future.

Analytics 207
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Review Lessons Learned in Big Data 21 May: SAS and Apache Hadoop Architecture Review

CTOvision

SAS and Hadoop work together in ways supportive to enterprise missions. Analysts are able to leverage comprehensive enterprise data stores by use of familiar interfaces and methods and with the well engineered SAS and Hadoop architecture can dramatically improve their results for mission. Sign up here.

Big Data 114