How did Mitzu help Colossyan scale beyond 100 people without growing the data team?

Company

Colossyan is an AI-powered video creation platform that enables businesses to produce professional-quality videos using AI avatars and text-to-speech narration. Founded in 2020 and headquartered in London, UK, Colossyan aims to democratize studio-quality video creation by providing an easy-to-use platform for AI video generation. The platform supports over 70 languages and offers features such as customizable AI avatars, text-to-speech capabilities, auto-translation, and scenario-based video creation. These tools allow organizations to create engaging, localized training content efficiently.

Problem

Creating retention charts and funnels was extremely challenging for the team, as these required SQL knowledge for one-by-one requests. This created a dependency on the centralized data team, leading to inefficiencies and delays. Revenue data was difficult to access and completely detached from backend data. This led to discrepancies and a lack of trust in third-party tools due to unreliable data, especially without a centralized data warehouse.

Although these tools provided a self-service experience, they were not connected to the data warehouse, leading to unreliable insights. The adoption patterns were similar across tools, but the lack of trust in the data hindered effective decision-making. Better measurement of A/B tests, mobile user behavior, and basic retention calculations was also needed to optimize funnels and improve product performance.

They aimed to reduce the complexity of accessing revenue and behavioral data, while improving data trust and governance across the organization.

Solution

Colossyan chose Mitzu for its warehouse-native connection with its data warehouse, providing accurate, real-time data and full control over its analytics. By combining revenue and behavioral data in one platform, Mitzu eliminated the challenges of data silos and trust issues.

The tool's intuitive interface allowed for quick adoption, enabling non-technical teams to manage reports and independently reduce dependency on the data team. Mitzu’s responsive support and custom feature updates kept the process agile.

Mitzu's data catalog feature was also a game-changer, making accessing and governing their data easier. With reliable retention calculations and centralized data, the team felt confident in the accuracy of their insights, which in turn helped them make smarter, data-driven decisions. Mitzu helped them run more accurate funnel analyses, conduct A/B tests, and gain deeper insights into mobile user behavior. The tool’s advanced funnel and segmentation features helped the team optimize processes and gain more precise insights into user behavior.

Data literacy improved, and the time spent on reports was drastically reduced. Mitzu became a core part of Colossyan’s data ecosystem, helping them scale effectively and efficiently.

Results

50% faster ad-hoc reporting, with drag-and-drop features reducing reliance on SQL.

Onboarding funnel improved by 20-30%, thanks to optimized funnel analysis.

3x faster data-driven decision-making, with teams now able to access data insights independently

Better data governance and accuracy, building trust in data-driven decisions.

" Ad-hoc reporting is 50% faster - creating quicker, data-driven decisions. Mitzu transformed our analytics. Teams self-serve reports, reducing data team reliance on a small task.”  – Bálint Tóth, Lead Analytics Engineer, Colossyan

" The onboarding funnel improved by 30%. Mitzu is our Swiss Army Knife for data. It helps with quick, trustworthy insights without reliance on data teams. – Tamás Kocsis, Director of Product Management, Colossyan

‍How did you manage product analytics before using Mitzu?

‍Before Mitzu, we used tools like Mixpanel, Amplitude. While these tools provided some insights, they came with many challenges. They were expensive, hard to use, and required a lot of support from our data team. Getting complex revenue data from the backend was a real pain, and since we didn’t have a central data warehouse, trust in the data was always a concern. Funnel analysis and insights were not easily accessible, which led to delays and inefficiencies. By moving everything to Mitzu, we were able to streamline our analytics. Instead of relying on multiple third-party tools, we consolidated all our data into one platform that connects directly to our data warehouse. This gave us more control over our data and improved its accuracy. We could now automate SQL queries and generate reports much faster, cutting our ad hoc reporting time by 50%. The data catalog feature also made accessing and managing our data easier, making everything more trustworthy and efficient.

How are you using Mitzu today?

Now, everything is in one place with Mitzu. We use it for product analytics, tracking revenue, and understanding customer behavior. With all our data connected, we can pull reports and insights ourselves without constantly needing the data team. Teams like marketing, product management, design, and customer success actively use Mitzu. They use it to track funnels, optimize onboarding, and analyze revenue data. The integrations with tools like HubSpot, Stripe, and Chartmogul make it even easier to dig deeper into our data and make better-informed decisions.

How has Mitzu impacted your teams and decision-making process?

Mitzu has really changed how we work. With faster, self-serve reporting, we’ve become a lot more independent. We no longer have to rely on the data team for basic insights, which has freed them up to focus on more complex tasks. Teams across the company—from product managers and marketers to design and customer success—are now using Mitzu to create their own reports and make quicker, data-driven decisions. We can now generate reports 3 times faster and make data-driven decisions on the spot, which has sped up our decision-making across the board. Plus, the data is much more accurate and trustworthy, so we can make decisions more confidently.

Who would you recommend Mitzu?

I’d recommend Mitzu to any company with a small or mid-sized data team that needs fast, reliable insights without depending too much on the data team. It’s great for product managers, marketers, and sales teams who need to track things like conversions and customer behavior. Startups, especially in Seed or Series A stages, and any company with a data warehouse would benefit from the accuracy and trust Mitzu offers. It’s also perfect for privacy-focused companies since it provides secure data handling.

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