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The phrase "analytics because of" is correct and usable in written English.
It can be used to explain the reason or cause behind the analytics being discussed.
Example: "We improved our marketing strategy through analytics because of the insights gained from customer behavior data."
Alternatives: "analytics due to" or "analytics as a result of".
Exact(2)
We're backing Canvass Analytics because of its unique approach to implementing AI and predictive analytics quickly and in an automated manner, without the need for lengthy and often cost-prohibitive consulting engagements".
It's been a pretty interesting last twenty years of sports analytics because of technology and the way they record things on the field, so I'm really interested in that whole discussion. .
Similar(58)
The truth of such a simple arithmetical proposition as, for example, "2 + 3 = 5" is necessary, universal, a priori, and analytic because of the very meaning of "2," "+," "3," "5," and "=." Experience could not possibly refute such truths because their validity is established (as Hume said) merely by the "relation of ideas".
Annotated Bibliography, §1.1 And he [Aristotle] called them Analytics because the resolution of every compound into those things out of which the synthesis [is made] is called analysis.
This software has revolutionized basketball analytics, because the implication of computer coding is that data scientists like Sparks can go back and look for new things later.
Thus, "All husbands are married" is analytic because part of the meaning of the term "husband" is being married.
Thus, "All husbands are married" is analytic, because part of the meaning of the term husband is "being married". A proposition is said to be synthetic if this is not so.
Someone will publicly screw up an in-store analytics implementation because of bad implementation practices, and will be eviscerated by consumer backlash and/or will completely blame the technology vendor for what went wrong.
This is true for smart city data analytics because multi-disciplinary nature of city data can help in formulating a variety of city application scenarios.
This is the most complex of the six kinds of talent analytics, because it requires particularly high-quality data, rigorous analysis, and the integration of broad talent management and other organizational processes.
But it's a massive power shift in the world of analytics, because now Twitter can measure engagement wherever it happens, across any browser or app.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com