VedaX Investigations runs a multi-step root-cause analysis on your data and returns an editorial report that explains why a metric moved and what drove it.
You open a dashboard and revenue is down fifteen percent. The chart is very clear about the fact of it. What the chart never tells you is why, and why is the only thing that lets you act.
Getting to why is usually a slow, manual hunt. You slice by region, then by product, then by customer segment, chasing the drop through one breakdown after another until something lines up. A good analyst can do it. Most teams do not have one free at the moment the question lands.
VedaX Investigations does that hunt for you. You point it at a metric that moved, and it runs a multi-step analysis, following the drop through the data the way an analyst would, and returns a written report that names the causes and sizes them.
An investigation is not a single query. It is a chain of them, each one deciding the next based on what it found.
It starts from the metric and the change you care about. It breaks the change down across the dimensions in your data, finds which slices moved the most, and then digs into those slices rather than reporting a flat list. When one segment explains most of the move, it says so and quantifies it. When several small shifts add up, it shows how they sum.
The output is an editorial report, not a wall of charts. It reads like a short memo an analyst would write: here is what moved, here is what drove it, here is how confident we are, and here is the part that is still worth a human look.
A diagnostic tool that overstates is worse than none, because someone plans against it. VedaX Investigations is built to be careful with the figures it reports.
It does not double-count. When one cause is a subset of another, it nets them out rather than adding the same rows twice. It labels the money it reports so a total is never quietly a per-day figure sitting next to a full-period one. And where the data cannot support a firm conclusion, the report says so instead of manufacturing certainty.
That restraint is deliberate. The goal is a report you can take into a room and defend, not one that reads well until someone checks the arithmetic.
A plain dashboard answers what. An investigation answers why. Reach for it when the why matters:
- Revenue, sign-ups, or orders moved and you need the cause before the next meeting.
- A single number changed and you suspect it is really several things moving underneath.
- You want a written, shareable explanation rather than a screenshot of a chart.
Because a full investigation is a real piece of work, each plan includes a set number of runs per month, so the cost stays predictable. For a quick look, VedaX also has a lighter Deep Dive that returns a narrated root-cause card in seconds.
It is an automated, multi-step root-cause analysis. You point it at a metric that moved, and it follows the change through your data the way an analyst would, then returns a written report that names and sizes the causes.
A dashboard shows that a number moved. An investigation explains why it moved, by breaking the change down across your data, finding the slices that drove it, and writing up what it found.
The report is built to be careful. It does not double-count overlapping causes, it labels money so per-day and full-period figures are never confused, and it states where the data cannot support a firm conclusion rather than inventing certainty.
Each plan includes a set number of runs per month so the cost stays predictable. For a faster, lighter look, VedaX also offers a Deep Dive that returns a narrated root-cause card in seconds.
Any table you have connected to VedaX with a metric and some dimensions to break it down by, whether that is Google Sheets, an uploaded file, a database, or a store connector.
See it in VedaX: AI business intelligence for small businesses