Your Commercial Data Scientist
Turning Data Into Commercial Advantage
I'm Brian La Monica, a commercial strategy executive and consultant with more than 20 years of experience helping organizations improve revenue performance, strengthen profitability, and develop sustainable commercial strategies.
My career began in hospitality revenue management and expanded into executive leadership across pricing, sales, marketing, distribution, technology, and commercial operations. Throughout that experience, one principle has remained consistent: successful commercial strategies require more than information. They require an understanding of the business, reliable data, and the ability to translate insights into measurable results.
Recognizing the growing importance of advanced analytics and technology in commercial decision-making, I expanded my expertise through graduate studies in Data Analytics, combining decades of practical business experience with programming, predictive modeling, machine learning, business intelligence, and data engineering.
Today, my consulting approach brings these disciplines together.
I work with organizations to identify revenue opportunities, optimize pricing and commercial performance, improve data quality, streamline reporting, and develop analytical capabilities that support more informed business decisions. From commercial strategy and technology assessments to automated reporting, forecasting models, and advanced analytics, my focus is on delivering solutions that are practical, scalable, and aligned with business objectives.
I believe the greatest opportunity lies at the intersection of commercial expertise, trusted and verified data foundations, advanced analytics, and strategic decision-making. Technology alone does not create value. The advantage comes from understanding the questions worth asking, developing confidence in the underlying information, and applying the results to meaningful business decisions.
My work spans traditional commercial consulting and the development of technical solutions using tools such as Python, R, SQL, Power BI, and modern data platforms. These capabilities allow me to approach challenges from both a strategic and technical perspective, connecting business requirements with the systems, processes, and analytical methods needed to support them.
Whether your organization is looking to improve revenue performance, modernize its reporting infrastructure, better understand customer behavior, or explore the potential of predictive analytics, my objective is straightforward: turn data, technology, and commercial expertise into measurable business value.
