Data cleanup and joining
Inconsistent fields, files split by period, and entities that do not line up — reconciled before anything is compared.
Use cases
Wherever business data gets scattered across exports, joined by hand, and turned into the same recurring decision, Cognizon does the analytical work. These are three common ways teams use it — not the only ones.
Not your exact role? Cognizon works with the files, exports, metrics, and business context your team already uses.
Featured use cases
Campaign doors into the same product, not a list of who is allowed in.
Common workflows
Scattered sources, a join done by hand, and a decision that comes round again next month.
Inconsistent fields, files split by period, and entities that do not line up — reconciled before anything is compared.
Revenue less the costs that actually attach to it, charged back to the product, channel, or account that incurred them.
The definitions and corrections stay in the workspace, so the next cycle starts from what the team already agreed.
The dashboard where Cognizon proposes one change at a time — you review the candidate, then apply it.
What moved, in which account or channel, against plan and against the period before it.
The narrative a review meeting runs on: the finding, the evidence under it, and the recommendation.
Bring the mess
Your files, your definitions, your business context. The use cases above are where teams often begin, not where Cognizon stops.
Start with your own data