#Kpi

Showing 7 of 7 repositories tagged #kpi, ranked by stars

valdeteselimi
valdeteselimi
DashPro-Monitor-IndustrialBI

Power BI 2026: Smart Industrial Production Dashboard with DAX & Data Cleaning

Score
100
★ 151 ⑂ 0 +151/day
HTML
AmirhosseinHonardoust
AmirhosseinHonardoust
Sales-Data-Analysis

Synthetic sales data analysis with Python. Generate realistic sales transactions, clean and validate data, compute KPIs, and visualize revenue trends by day, month, and category. Includes reproducible scripts and charts for portfolio demonstration.

Score
67
★ 30 ⑂ 0
Python
DataVisualizationExpert
DataVisualizationExpert
HR-Analytics-KPI-Dashboard-using-Power-BI

This project leverages data analytics to gain insights into gender diversity and inclusion within the company. The Power BI dashboard and KPIs allow HR and management to track important metrics, identify issues, and make informed decisions to improve the representation and experience of all genders in the workforce.

Score
0
★ 28 ⑂ 5 +1/day
AmirhosseinHonardoust
AmirhosseinHonardoust
Decision-Safety

Long-form article introducing Decision Safety: a trust gate between dashboards and actions. Defines four pillars (coverage, freshness, stability, measurement risk), proposes a Decision Safety Score (0–100), shows common failure modes, and includes a copy-paste “Decision Safety Contract”+checklist to block unsafe decisions without hiding dashboards.

Score
33
★ 11 ⑂ 0
AmirhosseinHonardoust
AmirhosseinHonardoust
Trend-vs-Collection-Forensics

A deep-dive analytics article on why most KPI “trends” are actually measurement artifacts. Covers the fake-trend taxonomy (schema drift, coverage loss, time shifts, backfills, dedupe, sampling, mix change), a Trend Courtroom evidence protocol, segment invariance tests, and copy-ready checklists + a Trend Report Card for decision safety.

Score
50
★ 10 ⑂ 0
AmirhosseinHonardoust
AmirhosseinHonardoust
Coverage-is-The-Silent-Killer

A long-form, practical article on data coverage: why clean dashboards still lie when datasets don’t represent the full calendar or population. Includes definitions, real failure modes (joins, filters, late data), coverage metrics, visualization patterns, anomaly/forecasting pitfalls, and reusable checklists.

Score
17
★ 10 ⑂ 0
aliivaezii
aliivaezii
kpi-lens

Supply chain intelligence platform — KPI monitoring, anomaly detection, LLM analyst, and automated Excel/PPT reporting via FastAPI + MCP

Score
83
★ 10 ⑂ 2
Python
Related Topics
#data-analysis#metrics#data-engineering#data-analytics#data-visualization#data-science#dashboards#data-quality#monitoring#time-series#business-intelligence#kpis

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