The most expensive spreadsheet in your business might be the one nobody questions.
It arrives every week. Someone updates it, checks the figures against another report, fixes a few differences and sends it on. The process is familiar, so the effort behind it can become almost invisible.
This week's Beyond the Dashboard series asks: how much is bad data actually costing your business? We start with an ordinary reporting task and a question worth asking before buying another tool.
“It only takes a few hours”
Imagine a team spending five staff-hours each week reconciling conflicting reports. That could be one person's time or the combined time of several colleagues.
Across 52 weeks, that is 260 staff-hours. At an illustrative employment cost of £30 per hour, the time represents £7,800 a year.
The arithmetic is simple: 5 hours × 52 weeks × £30 = £7,800.
These are hypothetical assumptions, not a benchmark, a client result or a claim about your organisation. Use your actual reporting weeks, time records and an appropriate employment cost to estimate your own position.
That estimate represents the cost of staff time allocated to the task. It is not automatically a cash saving: reducing manual work may free capacity rather than reduce expenditure, and any improvement has its own delivery and maintenance costs.
The work behind the report
The five hours might include checking why two totals disagree, removing duplicate records, correcting dates, copying figures between systems or asking colleagues which version is current.
Some checking is necessary. Reconciliation can be an important control. The useful question is whether people are repeatedly repairing the same underlying issue, and whether that work could be reduced while preserving quality.
A spreadsheet itself is not evidence of a problem. It can be exactly the right tool. The warning sign is a reporting process that depends on recurring corrections nobody has time to investigate.
What else gets delayed?
Time spent preparing information also affects when people can use it. A manager may postpone a decision while teams check whose numbers are right. An analyst may have less capacity to investigate a service problem because the weekly report needs rebuilding.
Those consequences need their own evidence. Avoid attaching a speculative price to every delay or counting the same staff-hours twice. Start with what you can observe and measure.
One question for your next team meeting
Which report takes the most effort to make trustworthy, and why?
Choose one recurring report and ask the people preparing it to describe the steps. Record the total staff time, recurring corrections and checks that must remain in place. A short observation period can give you a useful starting point before proposing a change.
You may discover that the priority is a clearer definition, better source data or a simpler handover. Automation becomes more useful once the process and its controls are understood.
How Predictive Insight can help
I help organisations investigate inconsistent data, simplify reporting and turn complicated information into useful insight. We start with your people, your existing tools and the decisions the information needs to support.
If your team keeps fixing the same reporting problems, I offer a free, no-obligation 20-minute discovery call to explore the challenge and whether I can help.
Ask about a free 20-minute discovery call
Coming in Part 2: why duplicate records, inconsistent definitions and manual reporting can delay decisions as well as consume time.
Predictive Insight — Insight shaped around your people.