Over 80% of data projects are spent on repetitive preparatory tasks. Iteration cycles are often days or weeks, multiple skill sets are demanded, and resulting pipelines incur ongoing maintenance costs. Business decision makers are separated from the data itself. Meanwhile data accumulates, incurring cost while simultaneously going underutilised. For these and other reasons, we believe data projects are unfortunately often of net negative value to businesses.
We believe there is a better way. We believe tooling that is fast, flexible, powerful, and most importantly accessible to everyone, is not only possible but necessary as the world grows increasingly reliant upon data. We believe the opportunity cost of the inexistence of such tooling to be of the order of half a trillion dollars per annum.