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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 339
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A Timeline of Big Data Analytics

CTOvision

The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. Rick Delgado.

Big Data 147
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Omni looks to take on Looker with its cloud-powered BI platform

TechCrunch

There’s been an explosion of business intelligence (BI) tools in recent years, or tools that analyze and convert raw data into info for use in decision making. Investments in them are on the rise, but companies are still struggling to become “data-driven” — at least, according to some survey results.

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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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Tibco: Business intelligence and analytics provider

CTOvision

Research Team. Tibco has long been known for helping businesses interconnect their data in ways that enable business decisions. Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user.

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Most Popular Big Data and Data Science Development Services

KitelyTech

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

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Top 7 Challenges of Moving Data Analytics to the Cloud

Datavail

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Making Data More Usable.