Carillion Towers, Dallas, Texas
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Carillion Towers, Dallas, Texas
13601 Preston Rd. Suite W0920, Dallas, TX 75240
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Bemax Group BI Case Study #3

BI Insights & Analytics Implementation to Entertainment Company Client

Project Duration: 2017 to 2020

BI Insights & Analytics Implementation to Entertainment Company Client

Project Duration: 2017 to 2020

The end client is a national US company for family entertainment centers with over 43 locations in 18 states throughout the USA featuring billiards, bowling, rock climbing, gravity ropes, karaoke rooms, mini golf, and virtual reality games.
Annual Revenue: US$100 million
Number of Employees: +1,000

The end client was seeking to implement a full report and dashboard for the Finance, HR, Operations, Sales & Marketing Departments for each location with varying access levels.  

Scope of Project:
Migrated clients to use Power BI and gave access to data and analytics to run their respective departments via real-time visibility to Store Operations, Labor, Traffic, and Revenue to over 450 users.

Developed customer segmentation models based on customer interaction and purchasing behavior online and in-store.

Managed deployment of predictive analytics to consume internal enterprise data and consequently build AI-based algorithms for configurable use-cases.

Developed store Floor Planning analytics such as positioning of games and venues for floor optimization.

Implemented Insights and Analytics Strategic project that resulted in client regaining over $9.5

Million loss in revenue caused by Year-Over-Year store traffic decrease.

Led Digital Strategic Marketing Analysis Project that identified the cause of store traffic decrease and created a road map plan to correct the issue.

Optimized and automated Financial, Operations, HR, Development, Sales, and Marketing

Reporting, which resulted in workforce/workload reduction and increased efficiency resulting in over $5mi annual savings.

Integrated R with Power BI, in order to leverage R Predict Analytics and Statistical

Capabilities to predict traffic patterns and forecast sales and plan labor models.

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