Share of wallet · compared with Enterprise data platforms
"How much of each customer's spend do we hold?" is the question sales and account management leaders ask. With an enterprise data platform, the first answer usually takes weeks to months. Here is what each approach takes, and when an enterprise data platform is still the right choice.
How much of each customer's spend do we hold? Asked by sales and account management leaders, every month.
Invoiced sales by customer and product, with segment or size.
Each customer's spend against the norm for similar customers, with the gap valued.
| Enterprise data platforms | Covirage | |
|---|---|---|
| Time to the first answer | Usually weeks to months: sources integrated, a data model or ontology built, then applications on top | Minutes on a file you already export; set up for you within a week |
| What it needs | Integration work across source systems, a data model, and engineers who build and maintain it | The exports your systems already produce. No warehouse, no modelling language, no data team |
| Who builds it | Data engineers, often with the vendor's own engineers or a partner | We map the columns once and set the dashboard up for you |
| Where "why" comes from | Possible once the model is built, as an application someone designs for it | An explain block splits every change into its causes; the lines sum to the change, and each opens to its rows |
Typical patterns, not a verdict on any product.
Alteryx alternatives · Domo alternatives · Palantir Foundry alternatives
Yes. An enterprise data platform suits a programme to connect many systems across the whole organisation. The question is what it takes. Usually weeks to months, with sources integrated, a data model or ontology built, then applications on top. If an enterprise data platform is already in place and staffed, it may be the right home for share of wallet.
Usually invoiced sales by customer and product, with segment or size. Covirage reads those exports directly and maps the columns once.
In Covirage, each customer's spend against the norm for similar customers, with the gap valued. Our tools compute it and check that it reconciles; the AI model explains it.
Share of wallet without a BI suite · Share of wallet without a planning platform · Share of wallet without spreadsheets
Cost and variance analysis · FP&A reporting · Project cost control · Revenue driver analysis · Customer profitability · Account coverage · Board reporting
Bring an export you already produce. The data map opens next, every column mapped once, and the first question is answered in minutes. Free, in your browser, no account. Or talk to us and we will set it up for you.