Data validation is critical at every point of a data project’s life—from application development to file transfer to data wrangling—in order to ensure correctness. Without data validation from inception to iteration, crucial errors could translate into inaccurate forecasts, increased costs and lost revenue.
Validation is especially important to a data wrangler, who is often importing vast amounts of complex, unstructured, or semi-structured data from a myriad of disparate sources. The impact of improved data validation on the data wrangling process cannot be underestimated. Effective data validation efforts ensure that no oversight becomes a larger issue throughout the data lifecycle. By leveraging Trifacta’s data validation and data analysis tools, capabilities firms like PepsiCo have improved their bottom line through reduced time to analysis, faster predictive modeling, more correct forecasts, quicker response to market and sales trends, and increased revenues, while reducing costs.