Andrea-Mondello_Web

Andrea Mondello

Principal, Lead, Data Analytics and AI Services

Get to Know Me

Andrea Mondello is a principal and leads the Firm’s Data Analytics and AI Services Team. She helps organizations unlock the full potential of data, analytics, automation and Microsoft technologies to drive operational efficiency, informed decision-making and sustainable growth.

With more than 25 years of experience in business advisory, process optimization and analytics, Andrea brings a strategic perspective to AI adoption and data-driven transformation initiatives. She works closely with business leaders to identify opportunities for innovation, streamline processes and translate complex data into actionable business insights.

Andrea’s expertise spans Microsoft Power BI, Microsoft Fabric and AI-enabled solutions, helping organizations implement scalable technologies that drive long-term value. She also has extensive experience in knowledge management and collaboration platforms, including SharePoint and Microsoft 365, supporting organizations of all sizes in enhancing productivity and information governance.

Andrea advises clients on AI adoption strategies, the development of scalable Power BI Centers of Excellence and process optimization initiatives that uncover inefficiencies and improve business performance. She also provides strategic technology guidance to organizations in the healthcare, legal, nonprofit and financial services sectors.

Throughout her career, Andrea has led complex digital transformation initiatives, including modernizing operations for a century-old national nonprofit and implementing Microsoft 365 for an international NGO with users across 19 countries in Asia. Her diverse industry experience spans accounting, publishing, SEO, digital marketing and drug development, with a particular focus on nonprofit and NGO organizations.

Industry Expertise

Service Expertise

Learn More About My Story

Learn more about my professional experience and how I spend my time outside the firm.

Education:

  • New York University

Andrea is a frequent contributor of thought leadership on AI, analytics and emerging technologies, helping organizations navigate an evolving digital landscape. She also serves on the Board of Directors for the Alzheimer’s Association Hudson Valley Chapter, supporting initiatives that advance research, awareness and support services for those impacted by Alzheimer’s disease.

Andrea enjoys supporting her local public library and sharing her love of board games and video games with family and friends.

Authored Insights

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Learn how AI tools for manufacturing and AI for supply chain management are helping organizations improve efficiency and ROI.
How Is AI Used in Manufacturing? A Practical Guide to AI Tools for Manufacturing

Not long ago, artificial intelligence was mostly a boardroom talking point for manufacturers, more theory than practice. That has changed fast. Over the last 12 to 18 months, manufacturers have moved from cautiously discussing AI to actively deploying it on the shop floor, in the back office and across the sales team. Rather listen than…

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co-workers reviewing ai analysis data on digital screen.
What Enterprise AI Deployments Taught the Mid-Market and How To Avoid the Costly Mistakes

Enterprises spent millions discovering what doesn’t work. Here’s what mid-market leaders can apply instead.  In the first post of our AI readiness series, we explored why data quality issues, not AI, are the primary barrier to deployment. But data is only the first failure point. The second is sequencing – how and where AI is deployed. Most AI research looks at…

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two business collegues working together analyzing data on a laptop.
Why Data Quality Issues, Not AI, Are Holding You Back

Three research firms converged on the same finding in 2025: 73% of data leaders identify data quality issues as the primary barrier to AI deployment. Not technology constraints. Not budget limitations. Not executive buy-in. Data. When Qlik dug deeper in February 2025, they found 81% of companies have significant data quality issues they’re already aware…