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Experience atOmnicom Group

Driving financial systems and automation across global teams.

Builder ofEnterprise AI Systems

AI agents, audit workflows, and decision intelligence at scale.

Based inNew York City

Building systems for enterprises around the world.

© 2026 · New York City
All enterprise work

Enterprise implementation case study

Finance platform connectivity.

A governed data foundation connecting ERP and analytical layers for reliable finance reporting and analysis.

Dynamics 365SAP HANADatabricks
Ask the project copilotGrounded in this public-safe case study.

Business problem

What people needed to solve.

Finance and operations lose time when teams work from disconnected exports, inconsistent mappings, and unclear ownership across ERP and analytics platforms.

Decision frame

Questions the work needed to answer.

  • Which source is authoritative?
  • How do mappings reconcile across platforms?
  • What curated view is safe for analysis?
Illustrative operating flowNo internal data, configuration, or client detail.
Dynamics 365SAP HANAFinance mappings

Operating layer

Curated finance layerDecision support with review and ownership.
Controlled viewsReconciliationDecision support

Implementation

From the business problem to a working operating model.

Designed governed finance-data flows across ERP and analytical layers, including mappings, reconciliation, and curated consumption views.

  1. 01

    Mapped ERP and analytical data flows around finance use cases.

  2. 02

    Built reconciliation and quality checkpoints before curated consumption.

  3. 03

    Created controlled views for reporting and analytical use.

Controls, approvals, and delivery constraints

The work around the work.

Enterprise systems change only when data, access, testing, ownership, and evidence move together.

  • Source ownership and mapping logic are explicit.
  • Curated views limit the risk of disconnected or unapproved extracts.
  • Internal objects, data fields, and volumes are not published.

Public-safe outcome

Finance and operations can work from controlled data products instead of disconnected exports.