Sentence examples for and analytics will be from inspiring English sources

Suggestions(1)

The phrase "and analytics will be" is correct and usable in written English.
You can use it when discussing future developments or expectations related to analytics in a particular context.
Example: "The new software update is expected to enhance user experience, and analytics will be crucial in measuring its success."
Alternatives: "and analytics are set to be" or "and analytics will play a role in".

Exact(9)

That data and analytics will be harnessed to provide instant content tailored to individual fans.

An effective transformation strategy starts with clearly articulating how data and analytics will be used to generate value and how the results will be measured.

Quality data and analytics will be especially important for all three lines of defense to effectively oversee sales practices, starting with complaints by customers and internal whistle blowers.

54% believe that Big Data and analytics will be essential to their marketing strategy over the long-term.

Over the next two years, 81% of CMOs say that data and analytics will be an important tool with which to build and measure trust.

It's a trend unlikely to subside so doctors are being encouraged to prepare for a future where data and analytics will be used by health insurance companies to measure physicians and their practices.

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Similar(51)

Soon Facebook, Instagram and Twitter analytics will be available.

And workforce analytics will be a $1.87bn industry by 2025, says San Francisco's Grand Review Research.

Internet of Things (IoT), machine learning, and predictive analytics will be at the forefront to run real-time intelligent supply chains.

This data will be streamed to a cloud repository, where machine learning and predictive analytics will be used to drive preventative maintenance decisions, predict system failures, optimize repair vs. replacement decisions and more.

Will these businesses find that using something like Lavastorm to create an integrated environment for supporting ETL, data pipelines, and delivery of analytics will be a better value?

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