The High Cost of Wasted Time

Gathering data for spreadsheets can be a significant time sink. On average, knowledge workers spend about 30% of their workday searching for and gathering information, much of which is destined for spreadsheets. For data analysts specifically, up to 80% of their time can be consumed by data preparation tasks, including collecting, structuring, and correcting data for spreadsheet use.

In practical terms, tasks like manually entering data, validating entries, and reconciling errors can take 1–3 hours per dataset, with complex sectors like banking, finance, real estate, and healthcare often requiring even more time. For example, financial teams may spend 8–25 days annually closing books due to manual spreadsheet processes. Across organizations, this translates to 80% of effort being spent on data preparation versus just 20% on actual analysis, leading to significant productivity losses.

These inefficiencies stem from spreadsheets’ reliance on manual input, lack of automation, and error-prone nature, with 88% of data workers using spreadsheets and facing challenges like formula errors or version control issues. To put this in perspective, an employee spending just 10 extra minutes daily on spreadsheet tasks could lose 43 hours annually, and this scales exponentially with multiple users.

Could you imagine the great things you and your employees could do if you had 80% of their effort helping grow the business instead of doing these manual processes?

This is where KPI Forge can help! By focusing on automation of all these tasks using tools like Apache Hop (hop.apache.org), Apache Superset (superset.apache.org), and other capabilities, we can bring untold efficiencies to your organization and processes.

Let’s talk today so you can understand how this is all done quickly and effectively!

www.kpi-forge.com/get-started