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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Some more in-depth programs exist, but many require knowledge in a programming language or a very deep understanding of data analytics. This list is for individuals who are looking to “do it themselves” with data.

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26 Interesting Statistics around Big Data, Data Science, and Analytics Market, Jobs, and Salaries

Analysts Corner

The global data as a service (DaaS) market is expected to grow and reach a revenue of US $ 10.7 By 2023 , the big data analytics market is anticipated to reach $103 billion. According to Statistica , by 2025 , the global big data analytics market’s annual revenue is likely to grow to $68.09 billion in 2023.

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insightsoftware Acquires Vizlib, Extending Write-Back to Qlik Users

Insight Software

Following success with Power ON, insightsoftware takes strategic evolution, growth, and product enhancements to the next level with software to extend visual planning and write-back solution capabilities to Qlik users RALEIGH, N.C. –

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Why is Natural Language Processing Important to Enterprise Analytics?

ElegantJ BI

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.

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Why is Natural Language Processing Important to Enterprise Analytics?

ElegantJ BI

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.

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Why is Natural Language Processing Important to Enterprise Analytics?

ElegantJ BI

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.

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Data-powered excellence: US Paralympian Lizzi Smith breaks barriers—and records

Tableau

Team USA athlete Lizzi Smith at the Paralympic Games Rio 2016 (photo credit: Getty Images). Data stops doubt. Paralympian Lizzi Smith is stoked about swimming, and leans into data as a way to improve her results. . Data stops doubt,” explains Lizzi. Lizzi can plan her training strategy based on each week’s results.