Led Enterprise Data Architecture, helped structure the data org, implemented MDM & ODS and re-engineered CAP systems/technology supported by Customer MDM/DQ/DG and Analytics for improving customer on-boarding & service.
Global Master Data Mangement, Data Quality, and Data Governance:
* Implemented end-to-end, global, multi-industry, scalable, multi-domain MDM across Party (Customer and People & Org), Place (global addresses & structures), and Account, from strategy to modeling & architecture, and data acquisition & integration (real-time CDC/ETL).
* Master data domains were stood-up as the golden source with exclusive data boundaries and data maps from Systems of record/reference ie. Data Producers and Data Consumers. (Deere operates under six industries across different global regions).
* Qualitatively enriched all master data with cleansing & standardization and consolidation & survivorship resulting in data consistency, integrity, accuracy, and timeliness,ensuring the data is fit for purpose. Further identified data issues were followed-thru for remediation.
* Designed and provisioned Master data services for enterprise-wide consumption needs thus eliminating the past complex & incoherent integrations resulting in operational efficiency.
* Supported the Business Information Standards Office (prior version of DG office) with knowledge management, data standards, metadata, data quality, and identity & access management.
Operational Data Stores (ODS) and CAP Systems Re-engineering:
* Implemented enterprise-wide ODS based on multi-domain MDM solution with real-time CDCto support Customer & Dealerintegrations.
* CAP Systems were re-engineered with the support of Customer MDM/DQ/DG/Analytics for improving customer onboarding & service.
* Consolidated Customer Acquisition Portfolio (CAP) of 8 systems & processes (customer/prospect/lead, campaign/mailing/subscription) thru business & application architecture rationalization into a custom-developed application for significant efficiency & effectiveness.
Customer 360 & Analytics:
* Implemented a near-real-time data vault (data warehouse) based on the MDM and the ODS solution for Customer data.
* Drove Market Intelligence by creating data aggregation and analytics capabilities for Market Research, utilizing internal and external data (trade shows, associations, competitors) to customize customer segmentation, market-spend allocation, and ROI analysis.
* Enabled Data Monetization by implementing Customer 360 focused on a unified customer view for product service and experience management, effective segment marketing, and data monetization initiatives, including JD-Link subscriptions.
