Four years ago, the fast-growing startup realized they needed to build a data warehouse and the right infrastructure for their BI. From creating the right management dashboard for the company to connecting all their data points, they turned to vision to create an optimal data architecture and establish the right data processes that will help them thrive and scale.
Since then, new challenges have emerged as the organization grew in size and complexity. Their initial challenge was selecting and choosing the right data stack and building a bespoke architecture with a view to the future.
More recently, they wanted to obtain in-depth understanding of their sales pipeline and funnel. With the right data and automation tool, they wanted to understand marketing and sales ROI. They wanted to create dashboards that are simple, useful, and easy for anyone to understand. Ultimately, they had to take a lot of data, and present it in the most impactful and simple way – so it would help the organization inform some of their most important operational and strategic decisions.