Enterprise Commercial Data Intelligence & Governance
1. The Problem Space
Prior to this initiative, commercial reporting across the agency’s $35M portfolio relied on fragmented, non-cohesive data sources. Each brand team managed isolated reporting routines, leading to heavy manual data aggregation, duplicate work, and inconsistent KPI reporting across client touchpoints.
Beyond operational friction, the system faced two major constraints:
- Strict Data Privacy & Least-Privilege Access: Agency privacy rules required strict isolation of sensitive client and operational datasets. Users could not have broad access to underlying tables; visibility had to be tightly bound to specific roles and organizational tiers.
- Elimination of Reporting Drift: Executive leadership required real-time visibility into commercial and operational performance without relying on static, manually assembled slide decks that introduced human error and metric discrepancies.
Without a unified solution, manual reporting cycles would continue to consume hundreds of operational hours annually, while increasing data privacy risk and metric drift across agency engagements.
2. My Role
As Director spanning Digital Marketing & System Solutions and Marketing Technology (2022–2025), I served as the end-to-end Product Owner for the enterprise analytics and visualization solution. I personally:
- Assessed technical feasibility and mapped out the complete user flow, data inputs, and visual outputs.
- Designed the data schema and relationship models required to standardize KPI visualization across different brand groups.
- Engineered the Role-Based Access Control (RBAC) security architecture to enforce least-privileged access principles.
- Partnered directly with central IT and Data Operations teams to execute workspace integrations and automated pipeline connections.
3. The Approach
I led a structured four-stage architecture rollout:
1. Feasibility & User Flow Mapping
I audited existing brand datasets, identified recurring manual data pulls, and mapped out an end-to-end architecture connecting raw agency data sources to a centralized workspace.
2. Data Pipeline & Schema Integration
Working with IT and Data Operations, I established automated data ingestion pipelines into a unified Power BI workspace. I built standardized relational schemas across disparate sources to ensure metrics were calculated and visualized identically across every dashboard.
3. Role-Based Access Control (RBAC)
To meet strict agency privacy rules and least-privileged access policies, I designed and gated access permissions via security groups:
- Managers: Tightly restricted to viewing direct report and specific account team metrics.
- Department Leadership: Granted aggregate visibility across entire department operations.
- Agency President & Execs: Granted full portfolio-wide executive visibility.
4. Interactive Executive Visualization
Built self-service, drill-down dashboards replacing static status decks, providing real-time operational clarity for senior leadership.
4. Outcomes & Impact
- Eliminated Manual Data Aggregation: Replaced fragmented, manual slide building with automated, real-time data feeds across a $35M portfolio, freeing significant operational capacity for account and strategy teams.
- 100% Data Privacy & Security Compliance: Enforced least-privileged access across all agency tiers without a single data spill or security policy breach across multi-tenant client datasets.
- Single Source of Truth: Established unified KPI logic and standardized reporting schemas across creative, strategy, medical, and account leadership.
5. What I'd Do Differently
Looking back at this architecture, version 2.0 would incorporate Natural Language Processing (NLP) / Conversational Querying directly into the governed semantic model.
While the Power BI dashboards provided self-service visibility, enabling executives to query the data via natural language (e.g., "Show me account resource allocation variance for Q2") would allow leadership to pull custom, real-time insights instantly without navigating visual drill-downs.