Why Business Intelligence Analytics still suck inwards Gambling, Sports betting, Online Casino manufacture

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Gambling Operators take hold all the data inwards the world, hire all the Business Intelligence analysts to do SQL queries and program inwards Python to spit out all the excel lists, but are unable to convert all this data inwards any productive, measurable success for the companies! Why is that?

Those small operators similar Tipico, Betr or Betfred take hold to create the most out of this data analysis to compete vs. huge operators similar FanDuel, Draftkings and MGM inwards order to take hold any hope of surviving. l-l Barstool Sports and Caesars need to improve there, because only the biggest operators can simply dominate the market by spending lavishly on marketing and promo, no matter the efficiency.

inwards this video I will illustrate what metric should be the main focus of any Business analysis and analytics department.

Over the next videos I will hopefully give advice how to use the Diep indicator and Diep category for a better picture of your customer’s needs.

For task inquiries or offers contact me via LinkedIn: https://www.linkedin.com/inwards/kit-diep-4716a439/

Chapters:
0:00 Introduction
0:13 Too much data vs. inproperly selected data
3:36 Conversion of sports betting into casino customers difficult and vice versa despite big data
4:49 Maximizing customer’s amusement value (CEV) is the endgame, promising the highest satisfaction outcome. Introduction of Diep Indicator and Diep category as measurements to use the data for maximizing CEV.