Technical clinic

Forecasting dataset clinic

A technical review of timestamp structure, series identity, target quality, forecast horizon, and evaluation design.

Availability
Scheduled on request
Format
Online
Duration
60 minutes

Purpose

A working session with a defined output

The clinic examines one dataset before model execution. The result is a concrete list of data corrections, evaluation choices, and model settings that support a reproducible forecast experiment.

Agenda

  1. 01Inspect temporal grain and missing periods
  2. 02Check target quality and series identity
  3. 03Define a valid holdout and forecast horizon
  4. 04Select baseline metrics and calibration checks

Audience

Forecast practitioners

Data engineers

Applied scientists

Evaluate a representative workload with eomer.

A 30-minute session covers baseline results, uncertainty, deployment options, and the limits of production use.

Request demo