Agent skill · data analytics · aradotso
power-bi-retail-analytics-salespulse360
Deploy and customize the SalesPulse 360 Power BI retail analytics dashboard for profit, regional, and sales performance analysis
Why this skill is useful
Provides specific configuration patterns and data source integration methods for Power BI that the AI wouldn't reliably generate on its own.
What it needs
Requires power bi installed locally. Requires power bi service account access. About 8k tokens when loaded. Last updated 2026-08-05. 5 stars on the source repository.
What this skill does
SalesPulse 360 Power BI Retail Analytics Skill Skill by ara.so — Data Skills collection. This skill enables AI agents to help developers deploy, customize, and maintain the SalesPulse 360 Power BI dashboard—a comprehensive retail analytics solution built for Global Superstore sales data with multi-regional profit analysis, predictive forecasting, and automated alerting. What It Does SalesPulse 360 transforms raw retail transaction data into an interactive command center featuring: Multi-granularity sales/profit analysis (global → transaction level) Predictive forecasting with 12-month confidence corridors Automated exception alerts for profit margin and return rate thresholds Multi-language support with cultural localization (English, Spanish, French, German, Mandarin) Row-level security (RLS) for region-based data access Responsive layout adapting to desktop/tablet/mobile 24/7 autonomous refresh engine for live data synchronization The dashboard operates on the Global Superstore dataset (2011-2015) but can be adapted to any retail/e-commerce data source with similar schema. Installation & Setup Prerequisites Power BI Desktop (version 2.120 or higher) Power BI Service account (Pro or Premium for publishing) Modern web browser for HTML interface Optional: SQL Server or Azure SQL for production data sources Step 1: Clone the Repository Step 2: Extract Dataset The Global Superstore data is provided as a compressed CSV: Step 3: Open the Power BI File On first load, Power BI Desktop will: 1. Execute data transformation pipeline (M queries) 2. Apply data cleaning rules 3. Build calculated measures and columns 4. Initialize refresh schedule settings Expected load time: 2-3 minutes on standard hardware for the full dataset (9,994 rows). Key Components & Configuration Data Source Configuration The dashboard uses Power Query (M language) for data ingestion. Default source is the local CSV, but you can redirect to live databases: Modify the data source path: 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/power-bi-retail-analytics-salespulse360