The Hidden Cost of Manual Reporting

The direct cost of manual reporting is easy to calculate. Hours spent times loaded cost equals a number that appears in business cases for BI investments.

The indirect cost is harder to see and significantly larger.

The decision lag cost

A weekly report means your decisions are based on data that is between one and seven days old, depending on when in the cycle you are acting. In a manufacturing environment, a quality problem that shows up in last Friday's report but happened on Monday morning represents four days of potentially defective production.

The cost of the decision lag is not the reporting time - it is the four days of production that ran with a correctable problem because nobody could see it.

The talent cost

Manual reporting is almost always done by people who are capable of much more. A controller who spends 15 hours per month on manual report compilation is not spending those 15 hours on financial analysis. A quality engineer who compiles nonconformance data by hand is not spending that time on root cause analysis.

The opportunity cost is not just the time - it is the higher-value work that does not get done.

The accuracy cost

Manual processes produce errors. Copy-paste mistakes, formula errors, misapplied filters. When a decision is made based on a wrong number, the cost of that decision is attributable to the reporting process, even if nobody traces it back.

The morale cost

Good analysts who spend most of their time on manual data assembly eventually leave. The people who are most capable of doing the higher-value analytical work are also the most likely to be frustrated by spending their time on tasks that should be automated.

If you want to quantify the full cost of your current manual reporting and build a business case for automation, reach out. We have done this analysis for many clients and the number is usually larger than expected.