Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- IBM PureData System for Analytics
Tech Stack
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Services
- Data Science Services
About The Customer
IGT is a company that works with lotteries and retailers worldwide to responsibly grow lottery sales. They have a unique position in the market, with access to huge amounts of lottery sales data from their client base. The company's goal is to better compare retailer performance and understand the factors driving sales. They aim to maximize lottery sales in a responsible way, contributing to the USD75 billion brought in by lotteries in the U.S. alone. The proceeds from these sales benefit a variety of good causes.
The Challenge
IGT partners with lotteries and their retailers to maximize lottery sales in a responsible way. Their goal was to be able to better compare retailer performance and understand the factors driving sales. Lotteries are big business, bringing in USD75 billion in the U.S. alone, with the proceeds benefiting a variety of good causes. IGT—a company that works with lotteries and retailers worldwide to responsibly grow lottery sales—saw an opportunity to drive sales even higher. Matthew Whalen, Senior VP and CTO, Lottery at IGT, says: “We realized that we were in a unique position: huge amounts of lottery sales data from our client base are at our fingertips.
The Solution
IGT created the Retail Market Insights platform, which combines lottery sales data from participating lotteries and third-party information such as demographics, retail trends and store characteristics, and analyzes it using IBM® PureData® System for Analytics. IGT’s lottery partners can use the insights provided by the Retail Market Insights platform to develop and execute more effective actionable marketing and sales plans, sharing insights with their retailers as appropriate. The company can now deliver faster, more accurate analytics services based on the most current retail market data.
Operational Impact
Quantitative Benefit
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