Comparison

Building it in-house vs handing it over.

Four ways to solve reseller reporting. Only one of them takes the work off your team.

Every brand with more than a handful of retail partners lands on the same four options. They are rarely compared honestly, because the people selling three of them are not the ones maintaining the result.

Here is the comparison as we would give it to a brand deciding — including the cases where we are the wrong answer.

The four options

What each approach really costs

ApproachWhat it costsWho maintains itWhere it breaks
Spreadsheets in-houseNothing visible; days of senior time each monthWhoever inherited the workbookThe twelfth partner, or the day that person leaves
BI tool (Power BI, Looker)Licences plus an implementation projectYour team, foreverThe cleaning happens before the tool, so the work stays with you
Hire an analyst€2,000–4,000 a month part-time, more full-timeThe analyst, until they leaveHolidays, notice periods, and the knowledge leaving with them
Done-for-you close€750/month base plus €75 per resellerUsNot a fit if your data is already clean and centralised

Costs are indicative for a brand with roughly five to fifteen reporting partners. The analyst range reflects European part-time market rates rather than a quote.

Be honest about it

When building it in-house is the right call

If your partners already report in one agreed format, on a schedule you control, into a system you own, you do not need us. Consolidation is genuinely a small technical job once the inputs are consistent.

The same is true if you have a data team with spare capacity and a mandate to own this. An internal system that is actually maintained will beat any outside service on responsiveness.

The trap is the middle case: an internal solution that nobody owns, that works until a template changes, and that quietly costs a senior person three days a month while appearing to cost nothing.

The real comparison

It is not tool versus tool. It is who does the work.

A BI tool and a done-for-you close are not competing products — they answer different halves of the problem. The tool assumes clean, comparable inputs. Getting to clean, comparable inputs is the entire job.

So the question to ask of any option is not "what can it display?" but "after this, who spends the days?" If the answer is still someone on your team, nothing structural has changed.

Common questions

Questions brands ask before they hand this over

Is it cheaper to build sell-out reporting in-house?

Only if you count licences and ignore labour. The recurring cost of an in-house approach is senior time spent every month on cleaning and matching, plus the fragility of a system with a single owner. That cost is real but rarely appears on a budget line.

We already have Power BI. Do we still need this?

Possibly not, if your inputs are already consistent. A BI tool visualises data it can trust; it does not decide which SKU a garbled line refers to. Most brands find the cleaning, not the charting, was the work.

When would you tell us not to buy this?

When your partners already report in one agreed format on a schedule you control, or when you have a data team with the capacity and mandate to own consolidation properly. In both cases an internal system will serve you better.

What happens if we want to bring it back in-house later?

The dataset is yours throughout and exportable at any time, so bringing it in-house means taking clean history with you rather than starting over.

Whichever option you pick, price it in days of senior time per month rather than in licences. That number is the one that decides it.