Our design approach aligns roadmap tracks to uncover epic needs and decompose into the top priority features to support your minimum viable product - either via SAFe, Kanban, Scrum, or hybrid methods). Our expert data designers, scientists, analysts, architects, DevOps, Developers, and technical leaders are experts in all our solutions scope from data aggregation, data platforms, apps, MIS platforms, analytics, containerized workbenches, and wisdom learning solutions. Our teams address solutions for data ingestion, creation, discovery, curation, application, analysis, APIS, workflow, management, policies, and security. Our teams will work from knowledge first to uncover what information systems, warehouses, and flows are needed to combine with newer data pipelines, microservices, real-time hubs, and data lake concepts. We will seek to automate orchestration to create smart pipelines, even metadata driven, validate data, detect anomalies, enable robotic process automation and notification. We will focus on solutions which are integrateable and enable the data to be findable, accessible, interoperable, and re-usable.