Data Strategy
We define practical data strategies and scalable architectures that align data assets, platforms, governance, and analytics priorities with measurable business goals.
Dynamic Data helps banking and technology organizations clarify, modernize, and activate their data ecosystems with practical consulting across architecture, BI, governance, AI, and reporting. From cloud data strategy to executive dashboards, our team turns fragmented information into trusted insights that support smarter decisions, stronger compliance, and measurable operational improvement.
End-to-end data consulting for strategy, engineering, analytics, governance, AI, and executive reporting.
We define practical data strategies and scalable architectures that align data assets, platforms, governance, and analytics priorities with measurable business goals.
Our team builds reliable pipelines, integrations, and automated workflows that consolidate fragmented sources into accurate, timely, and accessible data foundations.
We establish governance frameworks that improve data integrity, ownership, documentation, and compliance readiness for organizations handling sensitive business information.
Dynamic Data develops dashboards, reports, advanced analytics, and decision-support tools that help leaders understand performance and act with confidence.
We design custom machine learning and AI solutions for prediction, automation, anomaly detection, fraud prevention, optimization, and intelligent business workflows.
Our visualization specialists transform complex datasets into interactive dashboards, executive reporting, and clear stories that non-technical stakeholders can use.
We begin by understanding business objectives, regulatory concerns, existing platforms, reporting pain points, and stakeholder needs. This creates a clear roadmap for improving data quality, visibility, governance, and measurable business outcomes.
Organizations rely on Dynamic Data to modernize analytics and make complex data easier to act on.
"Awesome attention to detail with a very collaborative approach. A great partnership relationship, very dependable, and outstanding follow through."
We combine technical depth, business understanding, and client-focused delivery.
Certified professionals bring proven QA, dbt, analytics engineering, and governance knowledge to every engagement.
Expertise across 35+ platforms and languages supports flexible architecture and integration decisions.
Every BI, AI, and data workflow is tailored to business priorities, not generic templates.
A 25-person team across three continents brings responsive collaboration and broad technical perspective.
Experienced leaders turning complex data into business value.
CEO & Founder
Victoria Gallerano is the CEO and Founder of Dynamic Data, which she established in 2020 with a mission to transform complex data into actionable insights for businesses worldwide. A recognized expert in Business Intelligence, Artificial Intelligence, and Data Governance, Victoria founded the company to help organizations launch modern data stacks, automate reporting, and harness the power of machine learning for real, measurable results. Under her leadership, Dynamic Data has grown to a team of over 25 professionals spanning Europe, South America, and the USA. Victoria is driven by a client-centric mindset and a passion for innovation, ensuring every solution delivered is tailored to help businesses thrive in an increasingly digital world.
CTO
Diego Prinzi serves as Chief Technology Officer at Dynamic Data, where he leads a multidisciplinary team of data professionals dedicated to delivering innovative, client-driven solutions. With over 15 years of experience in software development and data engineering, Diego brings deep technical expertise and a strategic vision that empowers businesses to make smarter, faster decisions. He is passionate about translating complex data challenges into clear, actionable outcomes that drive meaningful growth for clients. Diego's collaborative leadership style and command of over 35 platforms and languages make him a cornerstone of Dynamic Data's ability to deliver cutting-edge AI and machine learning solutions across industries.
Analytics Engineer
Marcelo Bour is an Analytics Engineer at Dynamic Data and a certified dbt Developer, bringing a powerful combination of technical precision and business acumen to every project he undertakes. With a strong foundation in data modeling, workflow optimization, and analytics engineering, Marcelo plays a key role in streamlining data pipelines and reducing manual efforts for clients undergoing digital transformation. He is deeply committed to fostering collaboration across teams and aligning technical solutions with real business needs. Marcelo's ability to bridge the gap between complex data systems and practical business outcomes makes him an integral part of Dynamic Data's mission to help companies unlock the full value of their data.
Dynamic Data provides consulting across data strategy, architecture, engineering, governance, BI, visualization, AI, and reporting. For banking-related technology environments, the focus is on building trusted data foundations, reducing manual reporting, improving visibility into performance, and creating analytics assets that support leadership, operations, compliance, marketing, and customer experience teams.
Talk with our team about your data goals and challenges.
Supports disciplined testing and quality assurance.
Validates analytics engineering and modeling expertise.
Built around innovation and client-centered delivery.
Share your goals, current challenges, and priority systems. Dynamic Data will help you identify the right next step for strategy, engineering, governance, BI, AI, or reporting.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.