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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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6 Valuable Business Intelligence Lessons From Brexit

Smart Data Collective

For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons. However, the planned date to leave was March 29th, 2019, a date that’s already come and gone. Have a Plan. Unfortunately, he wasn’t the only person with no plan.

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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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What is SSDP and Can it Truly Make Analytics Self-Serve?

ElegantJ BI

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. Original Post: What is SSDP and Can it Truly Make Analytics Self-Serve? What is SSDP?