BI & Enterprise AnalyticsCase Study • Technical Overview

Executive Business Intelligence Suite

A high-impact enterprise BI suite engineered in Power BI and PostgreSQL that aggregates siloed enterprise data (CRM, ERP, Billing) into unified executive views for C-suite decision makers.

Power BIDAXSQLPostgreSQLdbtFigma (UI Design)Python

GitHub Repo Live Interactive Demo

< 1.2s

Latency

Real-Time

Data Pipeline

14 -> 1

Reports Unified

$42M

ARR Tracked

1. Business Problem & Objective

Executive leadership relied on fragmented spreadsheet reports generated manually by disparate teams, resulting in 2-week reporting lags and conflicting metric definitions across departments.

2. Dataset Description

Normalized SQL data warehouse containing 15+ relational tables including Orders, Subscriptions, Customer Support Tickets, Marketing Spend, and Financial Ledgers.

3. Data Cleaning & Preprocessing

Engineered robust Star Schema data warehouse with dedicated Fact and Dimension tables.
Implemented dbt (data build tool) transformations for reliable automated data pipelines.
Defined standardized DAX measures for MRR, ARR, CAC, LTV, Net Churn Rate, and Expansion Revenue.

4. Methodology & Machine Learning Architecture

Analytical Steps

Agile BI development with user acceptance testing across department heads.
Row-Level Security (RLS) implementation to restrict sensitive financial metrics by user role.
Incremental refresh setup reducing query latency from 45 seconds to under 1.2 seconds.

Model Development & Evaluation

Configured advanced DAX formulas for time-intelligence calculations (YoY Growth, MoM Variance, Running Total, Rolling 12-Month Average).

5. Results & Strategic Business Insights

Key Results Achieved

Replaced 14 static Excel reports with a single unified real-time dashboard.
Reduced reporting lead time from 14 days to real-time (< 2 seconds).
Accelerated strategic decision-making cycles during executive board meetings.

Actionable Insights

Enterprise tiers accounted for 68% of ARR despite representing only 12% of the active customer base.
Onboarding drops off by 28% if user activation takes longer than 48 hours from initial signup.

Haidar Labib Izzakif • Data Analyst