analytics-reporting

Name: analytics-reporting
Availability: InStock
Author: EloPhanto

Analyzes raw data to build dashboards, reports and KPI tracking using SQL and Python/R.

116|9|Updated Feb 18, 2026

Search Tags:#analytics #dashboards #data #reporting #visualization #kpi

Ready to run

npx skills add https://github.com/elophanto/EloPhanto --skill analytics-reporting-elophanto

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analytics-reporting
Source: https://github.com/elophanto/EloPhanto/tree/main/skills/analytics-reporting
Command: npx skills add https://github.com/elophanto/EloPhanto --skill analytics-reporting-elophanto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform raw data into actionable insights, enabling teams to turn scattered metrics into clear dashboards and KPI tracking.

Core Features & Use Cases

Data discovery and validation to ensure quality for reliable analytics.
Reproducible analysis pipelines and automated reporting templates.
Interactive dashboards and executive summaries for decision-making.

Quick Start

Generate an analytics report and an executive dashboard for the latest dataset.

Frequently Asked Questions about analytics-reporting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I turn raw data into actionable business insights?▼

To turn raw data into actionable business insights, perform data discovery and validation to ensure quality, then build reproducible analysis pipelines to generate interactive dashboards, KPI tracking, and executive summaries for decision-making.

What is the best way to build automated reporting templates for KPI tracking?▼

The best way to build automated reporting templates for KPI tracking is establishing reproducible analysis pipelines using SQL, Python/R, which enables consistent performance measurement and automated generation of executive summaries across datasets.

Can I use SQL, Python, and R for marketing and sales analytics dashboards?▼

Yes, you can use SQL, Python, and R for marketing and sales analytics dashboards. These languages support data discovery, validation, and the creation of interactive dashboards and reproducible analysis pipelines across multiple business domains.

How do I create reproducible analysis pipelines for operations analytics?▼

Create reproducible analysis pipelines for operations analytics by validating raw data for quality, then applying SQL, Python, or R scripts to systematically process datasets into visualizations and automated reporting templates for performance measurement.

Does this approach to data visualization work for scattered metrics across different datasets?▼

Yes, this approach to data visualization works for scattered metrics across different datasets. It involves data discovery and validation to consolidate raw inputs into interactive dashboards and KPI tracking for clear executive summaries.