Case Study 02 · HBS — Statistics Centre Abu Dhabi

Census Abu Dhabi Analytics: Enterprise Reporting for Government

Led the end-to-end Census Abu Dhabi Analytics Project: 50+ dashboards, 25+ automated reports, secure portal access for 800+ users and 150+ staff trained.

  • 50+ dashboards
  • 70%+ effort reduction
  • 10M+ records
  • 800+ users
Organization
HBS — Statistics Centre Abu Dhabi
Role
Senior Consultant Data Analyst
Period
Mar 2024 – Dec 2025
Sector
Government & Official Statistics

Overview

For the Census Abu Dhabi Analytics Project, delivered through HBS for the Statistics Centre Abu Dhabi, I led end-to-end development and deployment of enterprise dashboards and automated reports. They support policy decision-making across multiple government departments. The work covered requirements and KPIs, ETL and data validation, secure portal delivery, and user enablement.

Business problem

  • Multiple government departments needed timely, consistent visibility into census operations, population insights and departmental KPIs.
  • Recurring reporting consumed significant manual effort and turnaround time.
  • Data came from several platforms (Oracle, PostgreSQL, Databricks and internal census systems) and needed validation and reconciliation.
  • Hundreds of internal and external users needed secure, user-specific access, and enough confidence to use self-service analytics.

Architecture

  1. Sources

    • Oracle
    • PostgreSQL
    • Databricks
    • Census systems
  2. Integration

    • Azure Data Factory
    • Alteryx
    • SQL stored procedures
  3. Quality

    • Automated validation
    • Reconciliation checks
    • QC standards
  4. Warehouse

    • Oracle data warehouse
    • Reporting models
    • 10M+ records
  5. Reporting

    • Power BI
    • SSRS
    • Wyn Enterprise
  6. Access

    • Central web portal
    • Report Server RBAC
    • 800+ users
Conceptual architecture: Sources → Integration → Quality → Warehouse → Reporting → Access. Simplified; no confidential system details.

My responsibilities

  • Project leadership from requirements to deployment, coordinated using Agile.
  • KPI definition and BRD documentation with cross-functional stakeholders.
  • ETL design with Alteryx, Azure Data Factory and SQL stored procedures.
  • Automated data validation and reconciliation controls.
  • Dashboard and report development in Power BI, SSRS and Wyn Enterprise.
  • Power BI Report Server configuration with RBAC, and embedding into a centralized portal.
  • Training programme for government staff.

Technologies

  • Power BI
  • Power BI Report Server
  • SSRS
  • Wyn Enterprise
  • Oracle
  • PostgreSQL
  • Databricks
  • Azure Data Factory
  • Alteryx
  • SQL

Implementation

  1. 01

    Requirements & KPIs

    Worked with departments to define reporting KPIs and document them in BRDs, then planned delivery in Agile iterations.

  2. 02

    Integration & transformation

    ETL workflows in Alteryx, ADF and stored procedures integrated and cleansed data from Oracle, PostgreSQL, Databricks and census systems, transforming 10M+ records.

  3. 03

    Validation & reconciliation

    Automated checks ran across reporting layers, in line with internal governance and quality-control standards.

  4. 04

    Dashboards & automation

    50+ dashboards in Power BI, SSRS and Wyn Enterprise, and 25+ recurring reports automated.

  5. 05

    Secure portal delivery

    Power BI dashboards were embedded into a centralized web portal, with RBAC on Power BI Report Server for user-specific visibility.

  6. 06

    Enablement

    Training sessions for 150+ government staff on navigation, exploration and self-service analytics.

Outcomes

  • 50+Interactive dashboards deployed
  • 25+Reports automated
  • 70%+Less manual reporting effort & turnaround
  • 10M+Population & economic records processed
  • 200+Annual data discrepancies eliminated
  • 800+Internal & external users with secure access
  • 150+Government staff trained

Figures as documented in my CV.

Business impact

  • Senior leadership gained near real-time visibility into census operations and departmental KPIs.
  • Reporting teams moved from manual compilation to automated, scheduled delivery.
  • Automated controls raised confidence in published statistics.
  • Self-service capability helped build a data-driven decision culture across departments.

Demo

Reporting effort: before vs. after automation

Synthetic data
Automated reports25+
Effort reduction70%+
Portal users800+
  • Manual cycle (indexed)100
  • Automated cycle (indexed)30

Indexed illustration of the documented 70%+ reduction. Not actual operational data.

This case study describes my role and documented results. Architecture is shown conceptually, and no confidential data, system details or client information is disclosed.

Business & Project Collaboration

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