Data Analytics and Business IntelligenceStatus: Completed

Enterprise BI & Data Culture Enablement

Transforming Fragmented Records into Cohesive Decision Dashboards

Enterprise Business Intelligence executive workshop

Harrison's Contribution

BI Consultant & Corporate Trainer. Modeled the underlying data architectures, wrote the analytical calculation formulas, built the visual interfaces, and conducted corporate training.

Intended Stakeholders

C-suite executives, finance leaders, sales directors, and branch managers needing reliable, daily business visibility.

Core Technologies

Power BIDAXSQL

Project Overview

Over years of hands-on data analytics practice, Harrison has engineered robust business intelligence suites for commercial enterprises, moving them away from error-prone manual spreadsheets to automated, interactive Power BI reporting engines.

The Problem & Opportunity

Many corporate teams spend 60% of their reporting time manually copying and consolidating disparate Excel files across branches. This creates severe reporting lag, inconsistent KPIs, and blind spots for C-suite decision-makers.

Key Objectives

Eliminate repetitive manual data entry and weekly reporting overhead.
Establish a centralized data model with standardized corporate definitions for all core metrics.
Deliver responsive, visually intuitive Power BI dashboards with drill-down capabilities.
Train department heads and analysts to explore data independently.

Solution & Implementation

Star-Schema Data Modeling: Designed clean dimensional models separating fact transactions from dimension tables for blazing calculation speeds.
Optimized DAX Measures: Engineered time-intelligence calculations (YoY growth, moving averages, target variances).
Role-Based Access Control: Configured Row-Level Security (RLS) ensuring regional branch managers only view authorized territory metrics.
Executive Storytelling Workshops: Delivered interactive training sessions enabling teams to articulate data findings effectively.

Technologies & Tooling

Power BIDAXSQLData ModelingPower QueryExcel Advanced

Challenges & Key Decisions

Dirty Source Data: Inconsistent customer naming and date formats across legacy spreadsheets. Decision: Built resilient Power Query M transformation pipelines that cleanse and standardize data automatically upon scheduled refresh.

Verified Results & Outcomes

  • Successfully replaced multi-day manual reporting cycles with scheduled automated refreshes.
  • Built unified sales, inventory, and branch performance visibility across enterprise operations.
  • Trained dozens of corporate professionals in Power BI and executive data storytelling.

Project Evidence & Media

Corporate Analytics Masterclass

Corporate Analytics Masterclass

Harrison conducting an enterprise analytics enablement training session.

[EXECUTIVE BI DASHBOARD ARCHITECTURE]

High-level dashboard architecture demonstrating sales funnel visibility.

Executive Reporting Layout Preview

High-level dashboard architecture demonstrating sales funnel visibility.

Lessons Learned

A dashboard is only as successful as the business decisions it enables. Clarity always supersedes decorative charts.

Future Opportunities

Integrating predictive forecasting algorithms directly into BI reports to anticipate quarterly demand shifts.