Pidwin Powers Smarter Gaming Insights with Sigma

Sigma has significantly improved our workflow by making it faster and easier to explore data, build dashboards, and respond to requests. It’s become an essential tool for cross-functional collaboration and timely decision-making.
_{- Cecilia Huang, Data Scientist}

• Cloud Data Warehouse: Databricks
• Industry: Technology / Gaming  
• Use Cases: Marketing, Fraud Mitigation, Operations

How Pidwin Is Using Sigma

Pidwin leverages Sigma to monitor product health, track marketing campaigns, evaluate streamer effectiveness, and streamline operational processes. The gaming company’s goal is to empower teams with faster access to insights and improve coordination across the business.

Marketing: Track promotion outcomes, evaluate campaign effectiveness, and measure streamer impact on user acquisition and engagement.‍

Product: Analyze game performance, use timezone heatmaps to identify peak activity, monitor feature adoption, and assess the influence of individual events on sign-ups and gameplay volume.‍

Operations: Support fraud detection, assess global usage patterns, gain user-level insights, and evaluate support metrics such as response time and satisfaction.‍

Data: Provide faster, more accessible database exploration compared to traditional SQL, along with flexible tools for building internal data products. Pidwin also builds dashboards in Sigma for their software development company, D&I, to measure the impact and ROI of streamer partnerships.

Turning Data Into a Competitive Advantage

Pidwin said they selected Sigma for its fast performance, ease of use, and versatile functionality. Teams can build dashboards quickly, load queries efficiently, and adapt tools to meet a wide range of data needs.

These capabilities have enabled Pidwin to accelerate development timelines, reduce friction in data workflows, and make insights accessible to more users across the company.

Flexible Functionality: Pidwin said Sigma supports a wide range of data needs, helping their teams build user-friendly tools and respond quickly to requests.

Fast performance: Dashboards and queries load quickly, improving efficiency during analysis.

Ease of use: An intuitive interface simplifies dashboard building and accelerates development.

“Sigma has significantly improved our workflow by making it faster and easier to explore data, build dashboards, and respond to requests,” said Cecilia Huang, Data Scientist. “It’s become an essential tool for cross-functional collaboration and timely decision-making.”

Read more stories about Sigma and Databricks here.