A leading market research firm experienced limitations with existing tools like Power BI and AnswerRocket, where they had to recreate dashboards for each new query variation, impacting efficiency and profit margins. They sought a more flexible solution and found Zing Data.

The Challenge

Their current tools required substantial data preparation and predefined questions to adjust queries and create new visualizations. For instance, analysts had to:

• Define relationships between tables (e.g. one-to-one, many-to-one)
• Create measures and calculations for field columns (e.g. churn rate)
• Create a semantic model
• Select specific chart types for visualization
• Design workflow diagrams
• Write SQL/html code

This made it less efficient in providing dynamic insights to clients who depend on accurate and timely data to inform product development and marketing strategies, especially when they have to explore different variations of questions.

The Solution

Zing improved their workflow by providing a fully interactive and editable environment.

Key features include:

1. Direct Querying: No extensive data preparation required. Users can ask questions directly using natural language without predefining them.

Answers are automatically generated with the right filters and aggregations. Complex joins and calculations are performed on the fly too.

2. Interactive Results: Unlike static dashboards, Zing allows users to modify filters and switch between chart types, enabling quick iterations on queries without starting from scratch.

3. Dynamic Exploration: Users can run different variations of queries without preparing data in advance by simply going back to the search bar and typing in another question.

The Result

With Zing, data teams can now explore questions with variations effortlessly, ensuring that data insights are not static but evolve with their needs. This is crucial for analyzing market trends across different demographics and regions, helping their clients stay ahead in competitive markets.

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