How We Helped Wolt go from vague spending in software, SAAS, Infra and more to detailed clear understanding on each piece of software and how they an reduce cost and improve enhance decision-making
Wolt was founded in 2014 in Helsinki Finland, the app-based company strives to connect local restaurants and merchants to customers who are seeking an easy-to-use delivery app service. Wolt’s platform makes it easy for customers to order whatever they need on one app, for merchants to make additional sales, and for couriers to make meaningful earnings flexibly. Apart from a restaurant delivery app, the company also opened its own grocery stores under the brand name ‘Wolt Market’. Today, Wolt successfully operates in 25 countries and over 300 cities worldwide.
After Wolt agreed to merge with DoorDash, the urgency of providing a clear understanding of all technology-related aspects increased. The company aimed to create a comprehensive data solution to cater to various stakeholders, including engineers, managers, shareholders, and the C-suite. The goal was clear: to track every expense so that informed actions could be taken.
over 4 Million Cost Savings Yearly: The outcome of this was a significant reduction in operational costs, with a 20-28% decrease in expenses related to various software and services used across the company. This was achieved through enhanced awareness of service usage, enabling teams to identify inefficiencies and optimize resource allocation. The implementation of automated power-down processes in idle infrastructure and third-party software further contributed to cost savings. Additionally, the solution fostered improved decision-making and more effective cost management, ensuring a more streamlined and financially efficient operation.
We defined our data strategy by aligning business objectives with the outcome the strategy, ensuring that data supports such results. Our data architecture was designed to provide a scalable, flexible, and efficient framework, enabling seamless data flow across systems. To ensure data compliance and security, we implemented rigorous standards and protocols, adhering to industry regulations and safeguarding sensitive information
We implemented an ELT solution to streamline data integration from multiple software vendors and SaaS providers. The solution involved setting up a cloud-based infrastructure on AWS, allowing for scalable and secure data extraction through API integrations. We automated the loading process into a centralized data warehouse, ensuring data consistency and availability
We Implemented a comprehensive data platform and infrastructure to support seamless data integration and analytics for various business needs. Leveraging AWS, we built a scalable architecture that enabled efficient data ingestion from multiple sources, including third-party vendors and internal systems. The infrastructure included a robust data lake for centralized storage and a data warehouse for structured analytics, ensuring high availability and security. Our solution incorporated automated ETL pipelines and real-time processing capabilities, reducing data latency and enhancing performance
We designed and implemented an advanced dashboard solution to provide real-time insights and enhance data visualization across multiple departments. Utilizing a modern BI tool integrated with our data warehouse, we created interactive dashboards that aggregated data from various sources, including SaaS providers and internal systems. The dashboards featured customizable views, enabling stakeholders to track key performance metrics and trends effortlessly. Our solution also included automated data refresh schedules, ensuring that users had access to the most current information at all times. This improved visibility led to more informed decision-making and increased operational efficiency