Go from data to
game-changing business outcomes with AI

John, a B2B SaaS marketing leader, is tasked with maximizing results while operating on a limited marketing budget. With a constant need to do more with less, he is looking for the most effective marketing mix of channels, strategies and tactics that will show the maximum ROI. 

Before RapidCanvas, he was employing traditional, time-consuming methods of data analysis that often failed to provide comprehensive insights into customer behavior. Multiple data sources were also offering different data points but lacked overall insight. 

He is incorporating cutting-edge technology to keep up with the company mandate and is hopeful of showcasing its results during his quarterly departmental updates. 

Tom, an operations manager at a manufacturing unit, works on maintaining a consistent supply of goods for his company to meet customer demand. He is grappling with labor availability, raw material stock, and supply chain delays, all of which are impacted by numerous factors.

Before RapidCanvas, he was dependent on legacy systems such as manual planning or rule-based systems, which are time-consuming and unreliable. He struggles to keep up with demand fluctuations, often leading to stockouts and customer dissatisfaction. 

His ability to accurately forecast demand and improve production planning has a far-reaching effect as increased visibility helps all departments efficiently manage their operations. 

Mary is a FP&A analyst who is responsible for her company reducing costs which will save jobs during an economic downturn.

Before RapidCanvas, she used Excel and a small subset of the data available to run regressions to predict the company's financial performance. In an uncertain economy, she has to run her calculations carefully and frequently. This manual work took weeks and additional executive requests proved hard to incorporate into the model.

She is in-line for a promotion, and can improve her chances if she can help the company save money with more data-driven decisions.