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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 337
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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. Data Scientists: 114%.

Big Data 103
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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. Marching Towards Governed Data Delivery.

Big Data 105
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Arena raises money from Peter Thiel and David Petraeus for its decision-making AI

TechCrunch

It brings to mind the AI Economist , a Salesforce-developed research environment that similarly runs millions of simulations to come up with plausible fiscal policy. It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. Unsupervised, Pecan.ai

Analytics 207
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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Big Data 105
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Minding the Analytics Gap

CTOvision

In response, XL produces increasingly complex analytics, and demand for analytical insights progressively permeates the organization. According to Kimberly Holmes, senior vice president of strategic analytics at the XL Group, “An increasing number of managers must take action based on analytical results. Related articles.