We are improving business through data science and analytics by enabling analytic producers, regardless of technical acumen, to quickly and easily transform data into actionable insights and deliver improved data-driven business outcomes. Every day, our users leverage our end-to-end analytic platform to quickly and easily discover, access, prepare, and analyze data from a multitude of sources, then deploy and share analytics at scale. The ease-of-use, speed, and sophistication that our platform provides is enhanced through intuitive and highly repeatable visual workflows.
Leveraging data for actionable insights is critical to modern business success, but has become increasingly challenging as the volume, velocity, and variety of data continues to expand. Traditional data analysis tools and processes are slow, complex, difficult to use, and resource-intensive, often requiring multiple steps by data analysts, data scientists, information technology, or IT, employees, and other data workers to complete even the most basic analysis. As a result, these tools and processes are unable to keep pace with the rapid analytics demanded by organizations today.
Our platform democratizes access to data-driven insights by expanding the capabilities and analytical sophistication available to all data producers, ranging from business analysts to expert programmers and trained data scientists. We bring the fragmented analytic process into one simple and unified self-service experience, combining tasks that were previously distributed among multiple tools and parties. Our platform allows a single user to easily discover, access, and prepare data from a multitude of sources, perform a variety of analyses, and deliver analytical output to drive data-driven decisions and improve business outcomes. This is done through visual workflows and an intuitive drag-and-drop interface that can eliminate the need to write code and reduce tedious, time-consuming tasks to a few mouse-clicks. The resulting opportunity is significant, as our platform can enable millions of underserved data workers to more effectively do their jobs.