Predictive Analytics & Business Intelligence
Build dashboards, run forecasts, connect data sources, and generate reports — all from a single composable analytics platform built on Protokol.
Each module is fully functional and interconnected — data sources power widgets, widgets fill dashboards, forecasts feed predictive reports. Click any module to explore.
Kontekst BI is more than a chart builder. It includes predictive ML algorithms, multi-source data pipelines, confidence interval bands, and full extensibility through the Protokol platform.
Predictive forecasting with Holt-Winters, Linear, and Exponential Smoothing
Drag-and-drop dashboard builder with playlist and collaboration support
Connect CSV, Excel, JSON or live Protokol Components as data sources
Parameterised reports with filter bindings and multi-source pipeline joins
Real-time confidence bands and model fit metrics (R², MAPE, MAE, RMSE)
What-if scenarios, known events, and regressor overrides per forecast
The full analytics lifecycle — data ingestion, widget creation, dashboard design, and predictive forecasting — managed in one place.
Upload CSV/Excel files or link a Protokol Component as a live data source.
Create chart, stat, table, or forecast widgets and connect them to your data.
Drag widgets into responsive dashboard layouts, add filters and collaborators.
Choose an algorithm, set the horizon, and get predicted values with CI bands.
Jump into any module and see Kontekst BI in action.
Built on Protokol
Predictive Analytics & Business Intelligence
Build dashboards, run forecasts, connect data sources, and generate reports — all from a single composable analytics platform built on the Protokol platform.
Platform Overview
Architecture, workflow, and core capabilities
Dashboards
Create and manage BI dashboards with drag-and-drop widgets
Widgets
35+ reusable chart, stat, table, and forecast widgets
Data Sources
Connect CSV/Excel files or Protokol Components
Reports
Parameterised reports with filter bindings and pipelines
Forecasts
Run ML forecasts with confidence intervals and what-if scenarios
01 — Platform Overview
The full analytics lifecycle — data ingestion, widget creation, dashboard design, and predictive forecasting — managed in one composable platform.
Upload CSV/Excel files or link a Protokol Component as a live data source.
Create chart, stat, table, or forecast widgets and connect them to your data.
Drag widgets into responsive dashboard layouts, add filters and collaborators.
Choose an algorithm, set the horizon, and get predicted values with CI bands.
Predictive forecasting with Holt-Winters, Linear, and Exponential Smoothing
Drag-and-drop dashboard builder with playlist and collaboration support
Connect CSV, Excel, JSON or live Protokol Components as data sources
Parameterised reports with filter bindings and multi-source pipeline joins
Real-time confidence bands and model fit metrics (R², MAPE, MAE, RMSE)
What-if scenarios, known events, and regressor overrides per forecast
02 — Dashboards
Create and manage BI dashboards with drag-and-drop widgets, playlists, and collaborators.
Manage and organize your business intelligence dashboards
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03 — Widgets
Browse 35+ reusable chart, stat, table, and forecast widgets connected to live data.
Create and manage reusable widget templates for your dashboards
forecast widget
forecast widget
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stat widget
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table widget
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stat widget
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stat widget
stat widget
04 — Data Sources
Connect CSV/Excel files or Protokol Components. Manage active data connections with status monitoring.
Manage your database connections and data sources
Dms-File
Dms-File
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05 — Reports
Build parameterised reports with filter bindings, advanced pipeline queries, and multi-source joins.
Build and run reports across your data sources
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06 — Forecasts
Run Holt-Winters, Linear, and Exponential Smoothing forecasts with confidence intervals, what-if scenarios, and model fit metrics.
R²
0.000
MAPE
12.4%
MAE
293459.2
RMSE
358265.3
Jump into any module and see Kontekst BI in action — built for real analytics operations from data ingestion to predictive forecasting.