Areas of Expertise
Data Architecture & Data Governance
We specialize in legacy system re-engineering and data migrations.
Custom Analytics and Business Intelligence
We immerse ourselves in your data ecosystem. We understand the questions you need to answer, and their value to your business. We choose the right tools for the job and build custom solutions from scratch when needed.
Solutions Prototyping
We conduct discovery, assess your current state, and make immediate progress on acute problems. At the same time, we develop a strategy and roadmap for a robust long-term solution. We leave you with tools that make an impact as well as a plan for next steps!
We have built several minimum viable product (MVP) data management applications that continue to run years later, remaining reliable and nearly free to operate.
Enterprise Technical Project Management & Data Quality Assurance
Our cross-functional versatility and technical depth allow us to provide holistic leadership across the full enterprise software development lifecycle. We are your technical advocates, guaranteeing critical functional requirements are not lost in translation. We ensure that architecture and implementation decisions lead to maintainability and extensibility down the road.
Capability Statement
Data Action Partners
performs data analysis, business intelligence, and data science methodologies
builds end-to-end automated pipelines and ELT workflows
designs and deploys data architecture and warehousing
provides enterprise technical project management and data quality assurance
designs and delivers rapid prototyping and proof-of-concept solutions.
Our core competency is a comprehensive, expert data practice that includes:
discovery
refactoring or building data pipelines
data architecture and strategy
migration of legacy data sources
establishing data governance
building custom analytics infrastructure
We have particular expertise in the government sector as well as experience on a number of projects requiring forensic discovery of legacy software and data sources. In this context, we build robust data pipelines and deliver actionable analytics.
We work with relational databases as well as NoSQL/ unstructured data. We have expertise writing custom SQL and transformation logic in Python. We have proficiency with the modern data stack and major cloud platforms.