December 2022 Summaries

Perpetua, an ad optimization software company working with major clients like Amazon and Walmart, experienced significant growth in its first five years, prompting the need for a scalable data visualization tool beyond their initial use of Metabase. Searching for a solution that could accommodate their expanding needs for visualizations, dashboards, and data manipulation, they explored Looker and Tableau but found these did not meet their requirements due to limited data access and low adoption. Ultimately, Perpetua transitioned to Preset, which offered features such as a SQL editor, advanced filtering, alert systems, and robust reporting capabilities, leading to high adoption across various teams, including Customer Success, Marketing, Sales, and Product. The switch to Preset facilitated a wide range of internal and external projects, with the company looking forward to continued growth and new team members leveraging Preset's platform for data-driven decision-making.

Data Culture, a company focused on empowering organizations through data, collaborated with Helpsy, a B Corp dedicated to revolutionizing clothing recycling, to enhance their data infrastructure and visualization capabilities. Through an initial audit, Data Culture assessed Helpsy's data needs and goals, developing a roadmap for their short-term and long-term data infrastructure. Given the constraints of time and resources, they implemented a minimum viable product (MVP) that included a dashboard providing insights into Helpsy's sales and profits across three e-commerce channels. Choosing Preset, a cloud-hosted data visualization platform built on Apache Superset, as the business intelligence tool, Data Culture facilitated a quick and efficient setup, enabling Helpsy to transition from manual report generation to centralized, self-service data analysis. Preset's features, such as its Semantic Layer, Virtual Datasets, and Metrics, supported both casual and data-heavy users while ensuring data governance through dashboard certification. This collaboration demonstrated how effective data strategies and tools could significantly enhance operational insights and decision-making for growing businesses.

Together Labs, known for its social networking platforms like IMVU, WithMe, and MetaJuice, aims to empower connections in the metaverse while staying at the forefront of technology trends such as crypto and NFTs. The company emphasizes the integration of analytics into both product and engineering operations to enhance decision-making processes. Engineering Manager Craig Murphey highlights the importance of understanding product metrics like retention and engineering metrics such as failure rates. Initially relying on traditional ETL pipelines and Tableau for data analysis, Together Labs sought a more scalable and accessible business intelligence solution. After evaluating various options, the company adopted Preset, enabling effective data manipulation and improved accessibility across teams. This transition led to significant improvements in time, resources, cost, and accessibility, while also contributing to the advancement of Preset as a product.