Skip to main content

Engine to estimate KPI improvement actions using Ridge regression + operational feasibility rules.

Project description

kpi-impact-sim

kpi-impact-sim es un motor de simulación basado en Ridge Regression que permite estimar cuánto debe modificarse cada variable operativa para lograr una mejora específica en un KPI objetivo.

Permite a cualquier empresa:

  • Identificar qué variables impactan realmente un KPI.
  • Simular escenarios de mejora (+1%, +2 puntos, +5%, etc.).
  • Entender límites operativos realistas.
  • Ejecutar análisis sin depender de dashboards externos.

Ideal para áreas de: ✔ Retenciones
✔ Contactabilidad
✔ Ventas
✔ Operaciones
✔ Experiencia del cliente
✔ Analítica en general


✨ Características Principales

  • Preprocesamiento automático de columnas (fechas, porcentajes, numéricas).
  • Detección automática de unidades (0–1 vs 0–100).
  • Entrenamiento RidgeCV estable y robusto.
  • Coeficientes desescalados en unidades reales.
  • Simulación operativa con validaciones de factibilidad.
  • Compatible con cualquier dataset empresarial.
  • Perfecto para automatizar decisiones.

📦 Instalación

pip install kpi-impact-sim

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kpi_impact_sim-0.3.0.tar.gz (8.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kpi_impact_sim-0.3.0-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file kpi_impact_sim-0.3.0.tar.gz.

File metadata

  • Download URL: kpi_impact_sim-0.3.0.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for kpi_impact_sim-0.3.0.tar.gz
Algorithm Hash digest
SHA256 d0f1c1935ab86d8b7bdcb64b99c5d993b63b79afa9515d3385a4b205ed6169f9
MD5 f1f6344b52dd0aba8350e9b30022951c
BLAKE2b-256 e421d6338297bcd8190d61986fbf81effe784f200fd72b46f8d04a34bc69350d

See more details on using hashes here.

File details

Details for the file kpi_impact_sim-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: kpi_impact_sim-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for kpi_impact_sim-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 333fbce35dee6d7027d6149b75336a0c9fab7740bb37b08eb30a44fbd74d2a2c
MD5 2822387b93e67ea1f7cc4ca4acbfea20
BLAKE2b-256 f27ce4495461a015568b71745955daa74789a46d13eb50b0069a7015763e0569

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page