Dynamic Data

DynamicData is a team of multidisciplinary data professionals that provides data engineering, analytics and AI services. The organisation operates as a group of freelancers collaborating to deliver data infrastructure, analytics and tracking solutions. The team is distributed across Europe, South America and the United States, and the firm serves clients in those regions.

Services and Capabilities

• Data strategy and architecture — development of data strategies, design of scalable data architectures, governance frameworks, assessments and optimization of existing systems.
• Data engineering and integration — construction and maintenance of data pipelines, source integration, automation and orchestration of data workflows, and performance tuning.
• Business intelligence and analytics — delivery of BI solutions including dashboards and reports, predictive and advanced analytics, data exploration and decision-support artifacts.
• Data visualization and reporting — design and implementation of custom visualizations, interactive dashboards, executive reporting and real-time reporting systems.
• Digital marketing tracking and analytics — implementation of campaign tracking, web and app analytics platforms, attribution modeling, conversion tracking, A/B testing and CRM analytics.
• Machine learning and AI — development of predictive models, NLP, computer vision, recommendation engines, anomaly detection, automation and end-to-end AI solution development, including data preparation and feature engineering.

Industry Focus

• Subscription and SaaS — analytics to measure subscription performance, funnel visibility and customer lifecycle metrics.
• Marketing and advertising — campaign tracking, attribution analysis, optimization, A/B testing and paid/social analytics.
• Energy and renewables — consolidated data integration and full-funnel dashboards for solar company operations and marketing visibility.
• Technology and AI platforms — automated data warehouses and pipelines to support machine learning and real-time analytics for AI-driven products.
• Real estate — transformation of market and listing data into dashboards and marketing assets for brokers and agents.
• Healthcare and education — analytics engineering and governed enterprise datasets to support data-driven operations and reporting.

Technology and Delivery Approach

• Work commonly uses a modern data stack: cloud data warehouses, ETL/ELT pipelines, transformation frameworks (for example dbt), and BI/dashboarding tools.
• Recurring technical themes include system integration across multiple sources, automation and orchestration of data workflows, real-time reporting and performance tuning of data operations.
• Analytics and machine learning are delivered through predictive models, NLP, computer vision and recommendation engines, with emphasis on data preparation, feature engineering and monitoring.
• Marketing analytics work includes implementation and configuration of web and app analytics platforms, attribution modeling and conversion optimization to produce campaign-level reporting.
• Delivery is executed by a distributed team of specialists collaborating on architecture, implementation, and ongoing maintenance of data systems and dashboards.