Solutions

Same engine. Different problems.

The work of getting numbers you can defend looks different in a bank than it does in a grocery buyer's office. These are the three shapes we see most.

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Financial Services
Reporting your risk team will sign off on
Regulated reporting has to be reproducible and explainable months later. Mammoth writes every rule down as a visible step, checks the data before anything publishes, and keeps the history of how each number was made.
19
countries on one standard at MUFG
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Retail & CPG
One sales picture from every retailer, market and Nielsen file
CPG brands buy their sales data from Nielsen, receive it from each retailer and collect it from every market, and no two sources name a product the same way. Mammoth matches it once, keeps it matched, and feeds the dashboard or Power BI report your team already reads.
20 days → hours
to a usable sales picture at Starbucks
55%
less reporting time at Arla Foods
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Services & Agencies
Report to every client, and know which ones make you money
Build one dashboard and every client sees only their own numbers, under your brand, for free. Then put your fees next to the hours you delivered, so the effective rate per client is a number rather than a suspicion.
0
lines of code written at PTI Digital
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Working in education, biotech or healthcare? Those pages have been retired, but the pattern is the same one described under Financial Services: fixed reporting calendars, sources that disagree, and a figure someone has to defend later. Ask us how it maps to yours.