bg_06.png
tempo logo_edited.png

Tempo Quickly Gets Their Data Infrastructure in Shape With Mozart Data 

Sidebar Case Study - Long.png

Results

99% decrease in implementation time

91% decrease in query runtime

76% decrease in time to insights

Company Size

200+

Departments

Operations, Product, Marketing, Customer Support

Data Sources

Amplitude 90x90.png
facebook-logo.png

Tools

Decentralized data and lack of infrastructure prevented Tempo from making use of its data

At Tempo, the award-winning AI-powered home gym, the operations team is responsible for supply chain, member experience, customer success, sales ops, and analytics. While they had lots of member and product data to work with, they didn’t have the data infrastructure that’s needed to easily make sense of their data. “We had data in each of our respective tools that we used, and those obviously have their native reporting. But naturally, it’s decentralized. So it was challenging for anyone to do any sort of analysis,” explained Dan Cho, Senior Director of Operations at Tempo. 

We had data in each of our respective tools that we used, and those obviously have their native reporting. But naturally, it’s decentralized. So it was challenging for anyone to do any sort of analysis.

Dan Cho headshot.jpeg

Dan Cho

Senior Director of Operations at Tempo

They needed to figure out how to centralize their data and get it to a place where they could access and query their data through their business intelligence tool, Mode. Plus, “There was no way I could spend much time transforming data, and it was unclear what tool to use,” said Cho. Without the right tools and resources, the team wasn’t able to make use of their data. 

 

Tempo implemented Mozart Data around the same time they hired their first analytics engineer. This set them up to finally turn their raw data into insightful reports, and it saved their engineer from the dull work of talking to vendors and setting up contracts. 

 

“Mozart simplified a lot of the setup. I didn’t have to create our own version of Snowflake or Fivetran. It all came as a package. All I had to focus on was writing the transforms and connecting the data sources to Mozart,” said Doo Shim, Team Lead, Analytics Engineering and Business Insights. It took less than an hour to set up Mozart Data, while building their own data stack would have taken at least a few weeks.

Moving from manual spreadsheets to automated reporting

With more accessible data, this opened up endless possibilities for reporting. The first initiatives the operations team tackled were executive, finance, and supply chain dashboards. These teams had been working out of Google Sheets, which required people to update their numbers every week. 

 

The operations team replaced the spreadsheets with automated dashboards that also established a baseline structure for company reporting. “The first iterations started with customer support data. And that led us to being able to show that with this pretty simple, straightforward data stack, you can do things that previously took a lot more effort and money,” said Cho. “We wouldn’t have been able to build these dashboards if not all the data was centralized and organized. That was our first win as a team.”

We wouldn’t have been able to build these dashboards if not all the data was centralized and organized. That was our first win as a team. 

Dan Cho headshot.jpeg

Dan Cho

Senior Director of Operations at Tempo

Since building out their first dashboards, the team expanded on that and found creative ways to help other departments quickly access the data they need. For example, they built a lookup tool that enables the customer support team to quickly pull up a customer’s history and product information when they call in. Prior to this, customer information wasn’t centralized, which made it difficult and time-consuming for support agents to find the information they needed to help customers.

Making data accessible to all while keeping costs down

Although SLANG was initially looking to integrate all its data, they’ve realized many additional benefits of using Mozart Data’s out-of-the-box modern data stack. “One of the benefits of the integrated data that I don’t know I would have articulated when we first entered into this relationship [with Mozart Data] is that we’re able to keep things affordable from an overall business systems footprint standpoint,” said Ogden.

 

SLANG was at a point where more people wanted access to data. But if they added each person to these systems, their costs would have quickly gone up. With Mozart Data and Klipfolio, a business intelligence tool, everyone can view the data they want without having to get access to the different business systems. “If you just need access to look at data, we can save some money by not having them have to go into these different platforms,” said Ogden.

 

Now, Ogden believes they can put off giving people access indefinitely and maybe even forever. “When people aren’t really using the operational systems, but they have to get in there and run reports, that’s an expensive seat to give up just for that purpose.” 

Saving data analysts and engineers time

In order to extract information from their data, Tempo’s analysts had to figure out what data was coming from which table and understand all the raw tables and joins. It could take up to a few days to sift through the data and build the logic for a query. Mozart Data provides them with one place for all their data and automated transforms that run consistently, which has sped up Tempo’s time to insights and simplified their queries. 

 

“If we didn’t have Mozart, we would have to connect the raw tables or the transforms,” said Gautham Sista, Senior Analytics Engineer. “I’m able to combine data from multiple systems and build one core table that we get most of our answers from. What used to be multiple joins in a query is now a select star statement with some filters, so it makes life so much easier.” 

 

Shim estimates “A query that would have taken us 20 minutes to write is now down to five minutes because we have to join fewer tables and we’re able to clean the data in a data warehouse.” Runtime has decreased too — from more than two minutes to as little as 10 seconds. 

 

Capturing a view of their data at a certain point in time, which is known as snapshotting, enables Tempo to track their historical and updated inventory statuses. In other transformation tools, “Snapshots was a wild animal. It was very hard,” described Shim. “Mozart just gave us a toggle option, which was very easy to use. We didn’t have to spend the time writing code for snapshots. We could just toggle it on and off, and it saved us a lot of time.” 

Growing into a proactive, data-driven organization

“The executive dashboards really proved the value of data at Tempo,” said Shim. When the company didn’t have a centralized source of truth for the business, they were reactive to issues on a daily basis. The executive reporting gave them visibility into their weekly and monthly performance. They could now see what was happening before an executive asked or a customer contacted them about a problem. 

 

For example, if they see their sales for the past seven days is a lot lower than that of the previous week, they can proactively work with the marketing team to figure out what’s happening. Or if they see cancellations spiking, they work with the member experience team to get to the root cause and come up with ideas on how to reduce cancellations. 

 

“These reports were a great place to proactively start asking questions and come up with solutions. The reporting helped us ask a lot of follow-up questions when the numbers were too low or too high and be less reactive.”

One of the things we weren’t able to do before was measure what the impact of our lifecycle marketing campaigns was on engagement. Now, we’re able to get insights on was this campaign actually effective and are users going back, taking classes, and being more engaged.

Gautham Sista headshot.jpeg

Gautham Sista

Senior Analytics Engineer at Tempo

With more data, they’ve also been able to measure the effectiveness of their campaigns. “One of the things we weren’t able to do before was measure what the impact of our lifecycle marketing campaigns was on engagement. Now, we’re able to get insights on was this campaign actually effective and are users actually going back, taking classes, and being more engaged,” said Sista. 

 

Mozart Data has given every department the tools they need to make sure data is accurate, properly collected, transformed, and deduped. This doesn’t just help them get the insights they need to do their jobs, but it also sets up each area of the business for long-term success. “For the long-term success of this company, we have to be collecting data well now so we can make better decisions, we know what’s happening, and we have that visibility,” said Cho.

Above Footer bg.png
Spend more time on data analysis and less time wrangling your data