As a Director Analyst with Gartner for Technical Professionals on the Analytics & AI team, my primary focus is on conducting industry research and publishing thought leading insights. I provide actionable advice on analytics and business intelligence (A&BI) best practices, meeting and advising practitioners and product leaders across organizations and supporting clients through inquiries. A key aspect of my role is enabling end clients to design their future roadmaps for their data and analytics teams by intersecting actionable strategies and my past 25 years of work experience in various verticals. I actively share these insights through my published research and presenting at Gartner conferences globally.
My areas of specialization include:
- Analytics and business intelligence (A&BI) best practices
- Self-service enablement
- A&BI tool selection
- Metrics & Semantic Layer
- Augmented Analytics
- Data Storytelling
As the lead of Data Management & Business Intelligence, responsible for the data systems' architecture, design and development. This also includes system data integration across all enterprise systems, including Salesforce (CRM), Workday (HRIS), BST Enterprise (ERP) and numerous custom data solutions.
Have led the migration of the entire data warehousing environment from on-premise SQL to Azure and the implementation of Power BI as the core of the Business Intelligence platform.
In this role, overseen the implementation of the Microsoft Power Platform. Manage the architecture, usage and development across the platform including Power BI, Power Automate and Power Apps. This includes now acting as a subject matter expert (globally) for SQL, DAX, and Power Query (M).
Environmental Resources Management (ERM), Global Head of Business Intelligence, 21 years
Analytics and Artificial Intelligence for Technical Professionals
Data Management Solutions for Technical Professionals
Master of Business Intelligence, St. Joseph's University
Bachelor's degrees Finance and Accounting, West Chester University
Business intelligence
Self-service Analytics
Analytics Governance
Semantic Layers / Metrics Stores / Headless BI