SoftwareOne case study

Why SoftwareOne is just the ticket for Tiketti

Crowd surfing during at concert

The Finnish ticketing app had no means of effectively reporting or analyzing its data until SoftwareOne (formerly Crayon) consolidated it on the Amazon Redshift cloud data warehouse.

Tiketti is one of the most visible companies in Finland, and there cannot be many Finns who have not at some point booked a ticket for a festival or concert through its site.

The Ruisrock festival is one of the flagship events in Finland’s musical calendar and attracts rock lovers from all over the world, who transact through Tiketti for their tickets. The festival was attended by some 105,000 people this year.

“This obviously generates an incredible amount of traffic and data,” says Jared Helkala, Tiketti’s CTO and Lead Developer, “and this can lead to challenges.”

“Tiketti is a household name in Finland and when something goes wrong, you’ll hear about it on the news,” Helkala continues. “So we have to get better at scaling, absolutely.

“What we wanted to do first was get on top of our data, which we achieved with the support of SoftwareOne.”

Tiketti logo
Client
Tiketti
Industry
Sports and entertainment
Platform
AWS Cloud
Services
Cloud Services
Country
Finland
Tiketti has a clear view of what it still needs to do to optimize the ticketing journey for our customers. Being able to know who our customers are and what motivates them is clearly a pillar of that ambition. Thanks to SoftwareOne and AWS, we can now access such insights.

Jared Helkala

Tiketti’s CTO and Lead Developer

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Tiketti's data was fragmented across many data islands which meant it could not be meaningfully analyzed. Tiketti had an incomplete view of its data. We had to compile the data manually to get an answer," says Helkala.

An additional issue was that marketing and sales were having trouble getting a read on how well Tiketti’s campaigns aligned with revenue outcomes.

“But what was most pressing was reporting,” says Helkala. “To create any kind of report required developer input. You couldn’t just quickly change a configuration of the dashboard and show that immediately to management. You had to really code that. We had to tackle this as a matter of urgency.”

SoftwareOne was recommended by Tiketti’s technology partner. “We were convinced by that recommendation,” says Helkala, “and choose to go ahead with SoftwareOne.”

The SoftwareOne team developed a solution that collects data from Tiketti’s data islands, migrates it and finally stores it into Amazon Redshift near real-time. In addition, SoftwareOne includes scalable analytics tool to better explore the consolidated data.

“This is a huge benefit for us,” says Helkala. “Having data from different sources in one place means we can mine it for insight in ways that were inconceivable before. We haven’t really started to do that yet, but now we can – and that’s a crucial step in the right direction.

“Our immediate objective ­– better reporting – has been achieved. It no longer requires any coding. A data scientist by him or herself can now create the reports and have the dashboards ready for management quite quickly. They don't need to involve development anymore.”

Although SoftwareOne did not set out to improve the robustness of the Tiketti website, the data warehouse project has reduced pressure on production workloads resulting in a likely uptick in performance.

To properly resolve the issue of scaling, Tiketti will have to refactor its current system to accommodate event-based architecture.  Marin Radjenovic, Senior Cloud Architect at SoftwareOne, comment: “This involves changing the whole overall landscape of Tiketti’s application, but we will do a Proof of Concept (PoC) so that they can see the benefits of such an architecture and then explore it in the future.

SoftwareOne is preparing two additional PoCs: one for a GenAI chatbot, one for data forecasting.

“The intelligent chatbot could handle basic customer service tasks,” says Helkala. “The most important thing they do is resend tickets so it would clearly be a good thing to automate that process.”

“Data forecasting would help Tiketti to better predict potential revenues from its campaigns based on a given level of expenses for such things as marketing,” says Radjenovic. “But this is a discussion for the future; we are still working on the PoCs now.”

SoftwareOne has also created a report which is an expert review of Tiketti’s current infrastructure and the operational problems, with proposals for further development.

“Tiketti has a clear view of what it still needs to do to optimize the ticketing journey for our customers,” Helkala concludes. “Being able to know who our customers are and what motivates them is clearly a pillar of that ambition. Thanks to SoftwareOne and AWS, we can now access such insights.”

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