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Centralized Analytics for Tennis Center Operations and Performance Improvement Strategies

Project Duration

3 months

Client Industry

Sports and recreation


Target Markets

USA

Technology Stack

Client Overview

We Understand Our Clients Best to Provide them the Best Solutions

LA Tennis Centers is a sports and recreation organization that offers premium tennis training and facilities across Los Angeles. They provide structured coaching programs, court rentals, and professional instruction for players of all levels. With a focus on optimizing operations and enhancing client experiences, LA Tennis Centers leverages data to better understand traffic patterns and instructor workloads across their locations.

Solutions Delivered

Automated ingestion from multiple tennis centers

Cleaned and modeled data with Cloud Run

Instructor workload and traffic dashboards created Scalable, maintainable analytics framework on GCP

Team Composition

Data Engineer

BI Developer

Data Analyst / Operations Analyst

Project Manager / Product Owner

Engagement Type

Hourly Contract

Key Challenges

Key Challenges

Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding

Disconnected

Data Ingestion

Difficulty in gathering data from multiple locations/systems


Inefficient Reporting

Data Cleaning

Raw data lacked consistency and needed transformation for reporting


Limited Intelligence

Analytical Visibility

Limited insight into client behavior and staff utilization


Strategic Roadmap

To drive operational excellence, we must build a robust system that ingests and unifies data from multiple centers consistently. Leveraging scalable data cleaning and modeling tools will ensure accuracy and reliability. Delivering intuitive dashboards will empower teams with daily insights into staff performance and client behavior. Continuous analytics will enable proactive performance optimization, supporting informed decision-making and enhancing overall efficiency across all locations.

● How do we ingest and unify data from all centers consistently?

● What scalable tools can help clean and model the raw data?

● How can we deliver simple dashboards for daily staff and client metrics?

● Can we support performance optimization through ongoing analytics?

Execution Approach

Streamlined Data Automation and Reporting

We implemented Cloud Run jobs to automate the ingestion and processing of data from multiple tennis centers, ensuring timely and consistent updates. BigQuery was leveraged as the centralized storage solution, enabling efficient SQL-based transformations to clean and structure the data.

Reporting models were developed to monitor instructor workloads and analyze client visit trends, providing actionable insights.

These insights were made accessible through interactive Looker Studio dashboards, empowering operational teams with real-time visibility into center performance and resource utilization, ultimately supporting data-driven decisions and optimizing daily operations.

Execution Diagram
Business Impact

BUSINESS IMPACT

Improved Operational Performance Visibility

Enhanced Instructor Scheduling Efficiency

Boost in data-driven staffing decisions

Actionable Insights to Boost Engagement

Business Impact Illustration

100%

visibility into client traffic across 5+ centers

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30%

reduction in manual data processing time

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25%

improvement in instructor resource planning accuracy

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12+

Empowered managers with real-time data insights

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