Top betting provider builds extensible data platform for self-service analytics

Presented by

Abel Martinez, Data Architect & Data Management Lead and Carlos Baldellou, Data Engineer, Sportium

About this talk

Founded in 2008, Sportium has become the multi-channel company of choice in Spain’s betting industry with more than 3,000 points of sale and an expansive online presence. 15,000 casino games are played each hour with 350,000 betting transactions daily, making it the number one betting provider in Spain. Sportium uses data as a core asset to improve user experience across the company’s retail and digital channels. However, with legacy technology and siloed BI systems, it struggled to create the visibility needed for comprehensive data analytics. Join our latest Data Disruptors webcast to see how Sportium overcame this challenge by building an extensible Vertica data warehouse to consolidate and analyze data from all different sales channels in near real-time and extract key insights. The webcast will cover how Sportium: • Developed a web-based application to support partners with operations analytics and give them guidance for creating a more positive customer experience • Created a data platform that supports customizable, self-service analytics for internal users with Vertica, Pentaho, and Tableau • Established an infrastructure capable of analyzing 48.5 billion data rows, housed in 630 tables with 11,630 columns – and is ready to scale further • Selected Vertica over BigQuery, Redshift, Teradata Aster, and SAP HANA for its horizontal scaling, controlled costs, ease of operations, and excellent performance

Related topics:

More from this channel

Upcoming talks (2)
On-demand talks (158)
Subscribers (36604)
The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.