Talk about competitive -- the company with biggest share of the sports betting market has no more that 5% of the market. Because competition is tight, margins are too, so sports books need to ensure every IT dollar spent is an ROI-positive spend. Alteryx provides sports book analysts with the unique ability to easily discover, prep, blend and analyze all of their data using repeatable workflows, which can be deployed and shared at scale for deeper insights. With Alteryx, these insights that come within hours, not weeks. Sports betting analysts can utilize the Alteryx platform in a multitude of ways, including connecting to and cleansing data from their data warehouses, sending and receiving data sets from cloud applications, as well as gleaning information from spreadsheets or a whole host of other sources. Sports book analysts can easily join their data together, then perform analytics—descriptive, diagnostic, predictive, prescriptive, statistical and spatial—using Alteryx's intuitive user interface, which is, if not a code free environment, then a very code friendly one.

For the sports betting industry, Intelligencia has built a set of almost plug-and-play solutions that can simplify a multitude of business challenges, including, but not limited to, the following:

Customer Churn Modelling

Customer retention is key to sustaining strong cash flow and profitability, especially for sports book, which exist one of the most competitive business environment around. In today’s big data and AI world, understanding ex post facto churn no longer strategically works. Sports book need to predict churn proactively to prevent customer jumping ship to another sports book. For an industry as competitive as the gaming industry, sports books must understand the factors leading to churn long before a customer intends to walk away. Intelligencia has built a churn model utilizing Alteryx Designer to proactivecly understand their customer behavior. 

 Alteryx Workflow


Natural Language Processing

Natural language refers to language that is spoken and written by people, and natural language processing (NLP) attempts to extract information from the spoken and written word using algorithms. NLP encompasses active and passive modes: natural language generation (NLG), or the ability to formulate phrases that humans might emit, and natural language understanding (NLU), or the ability to build a comprehension of a phrase, what the words in the phrase refer to, and its intent. One of the major use cases for AI is sentiment analysis, which uses NLP to gain insight into how a business is seen on social media. For travel companies, whose business rises and falls on their customer's happiness, NLP can help them understand what customers are saying about their company, they products and services, as well as their competitors. Managers can use these insights to increase customer intelligence and customer service. Intelligencia has built an Alteryx-based NLP solution for travel companies, sports books, utilizing Python that can be the engine of a powerful social media listening tool. 


Alteryx Workflow

RFM modelling

RFM is a method used for analyzing customer value. It is commonly used in database marketing and direct marketing and has received particular attention in the sports betting industry, an industry where customer service is paramount. Intelligencia has created an Alteryx workflow that can help sports book understand the breakdown of their customer database in ways that make marketing a snap. The workflow can produce outputs that can be given to the marketing department so they can reach out to high-value customers on one end of the spectrum, as well as customers who might be ready to churn on the other end of the spectrum. See the video below as well as the three step workflow below. 

Alteryx Workflow