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Move Over Tiger Woods: Big Data Helps Discover The Perfect Golf Swing

Smart Data Collective

While the general sentiment behind his statement is understandable, it has been shown that more informed golfers benefit the most from practicing. Advances in data analytics have offered tremendous benefits to astute golfers and other athletes. Data Analytics is Driving the Field of Golf. Data Unlocked.

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Big Data: The Technology Behind Retailers Success

Smart Data Collective

Key advantages of big data in retail. Wondering why data analytics tools stand out among management, payment processing software and other retail software solutions ? Here’s a brief overview of the top benefits it brings: A better understanding of the customer. Source: Statista.

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Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

Every aspect of golf in the modern form is being transformed through data analysis, cloud technologies, machine learning, and scientific advances. Golf has since embraced data analytics to provide enjoyment to the game and a deeper understanding. A lot of changes have come about due to data analytics in the golf profession.

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Key Factors in Choosing Data-Driven Digital Signage Solutions

Smart Data Collective

However, it is becoming abundantly clear that big data technology is also rapidly transforming many traditional marketing practices as well. There are a lot of companies that are looking for ways to use data analytics to improve their performance with everything from event marketing to direct mail outreach.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Initially, network monitoring and service assurance systems like network probes tended not to persist information: they were designed as reactive, passive monitoring tools that would allow you to see what was going on at a point in time, after a network problem had occurred, but the data was never retained. Learn more!

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Forrester Does the Math on the ROI of the Alation Data Catalog

Alation

In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Guess who benefits most by that? They use data infrastructure at work. Jake Vanderplas (2016).