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An Overview of Sales Analytics in Event Industry

BizAcuity

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Sales Analytics began to emerge as the scientific approach to selling in 2010 with sales becoming less about certain methodology or personality and more of a number game.

Sales 67
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Structural Evolutions in Data

O'Reilly on Data

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. FIFA didn’t even start counting assists until 1994 !

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. Do you love it?

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Create a distinct mobile website and mobile app measurement strategies.

Metrics 141
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The Artificial Intelligence Opportunity: A Camel to Cars Moment

Occam's Razor

Why the scale at which we can (/have to) solve the problems is already well beyond the grasp of the fundamental strategy most companies follow: We have a bigger revenue opportunity, but we don’t know how to take advantage? Some new techniques – machines, analytical strategies – might be accessible to the resident. Professional).