The analyst who stays

What the analyst does in a normal week

The work is already running the day you first see it. Onboarding built the model on your data. Everything below is what happens after.

Configures the modelONBOARDING

Maps every source system into the model, one dimension at a time, and settles the places where two systems disagree about what a unit or a shift means. The definitions your metrics run on get decided here, with you in the room.

Curates what reaches youWEEKLY

The platform raises 20 to 30 anomalies in a normal week. The analyst reviews every one, discards the noise, and publishes the 5 to 7 worth acting on, each with the response already framed.

Maintains the scenariosONGOING

Scenario templates and driver definitions are kept in step with how the business runs now. When you model a move, the model reflects this quarter's operation.

Writes the commentaryPERIODIC

Some numbers cannot explain themselves. The analyst writes short reads on what moved, why it changed, and what it could mean for the business. Monthly and quarterly narrative ready for a board meeting.

Watches the data qualityCONTINUOUS

Incoming loads are checked before they reach a view you look at. A bad file from a source system becomes the analyst's problem before it becomes yours.

Annotates the numbersON THE PAGE

When a number moves, somebody is going to ask why. A line of written context sits on the number itself, so the reason travels with it. No one asks "what happened?" in the next meeting.

All of it lands in a standing working session with you every week. The analyst walks through what moved and why. You put the next decision on the table.

How one analyst covers what a team would build

The platform watches every configured metric around the clock, so the analyst starts each day already knowing what moved. No team needed to compile it.

The analyst joins your existing team. Nobody's job changes. You get the analytical coverage of a team without hiring one. No recruiting, no ramp, no turnover risk. The analyst carries the judgment. The platform carries the volume.

The analyst works with current AI tooling to cover ground that would otherwise take a team to compile.

Two things keep the analysis reliable. First, nothing is published on one person's say-so. Before an insight reaches your feed, the analyst's read is reviewed inside Predien. Second, you can check the work yourself. Metrics trace back to the source records underneath them, so you can follow a number to where it came from and judge the working with your own knowledge of the business.

You are never asked to take any of it on trust.