The same product records, read four ways: what is growing, who is winning, where demand is going unmet, and what people actually say. They sit on one platform so the four do not quietly disagree with each other.
Four analyses argue with each other the moment they stop sharing a definition. Three things are held in common so they cannot.
Whatever you decide the category is, down to the attribute, all four analyses use that same membership. Change the definition once and every view moves with it.
A trend you read in one view and a benchmark you read in another cover the same weeks, so the two can be put on the same slide without a footnote.
Every cut is computed off product attributes rather than a fixed tree, so a question nobody anticipated is still answerable without waiting on a new taxonomy.
Each answers a different question. None of them answers it off a different set of products.
Every one of these four reads a product attribute. If you want those attributes in your own stack rather than in a platform, that is the other half of this.
The same records these analyses run on, delivered as a flat file, an API or a warehouse share.
Thirty minutes on your categories. How the attributes get built, and the questions your team could put to them.