Making progress on major initiatives often comes down to one sticking point: ensuring data is accessible and usable. The security, privacy, quality, and shareability of data can be the determining factor in whether public services are successful.
Ad Hoc can help you find, organize, and use your data to inform decision making and streamline service delivery.
Selected data architecture capabilities
Data research and strategy
Map your system and plan for improvement
Data pipelines, management, and ETL
Get data in the right place and format for your needs
Data visualization and storytelling
Support decision-making and prioritization
Data infrastructure
Platforms for secure, efficient data operations
DataOps
Methods and tools to scale data operations
A people-centered approach to data
Your data’s only as valuable as it is useful. Ad Hoc applies its people-centered approach to help organizations learn what questions people are trying to answer with data, where data exists in the organization, and how to bring data together to inform decision making and improve services.
Ad Hoc’s data informed methodology is based on the industry-leading CRoss-Industry Standard Process for Data Mining (CRISP-DM) and is grounded in our firm belief that people are at the heart of any successful data-informed initiative.
Medicare claims that support healthcare innovation through the Blue Button 2.0 API.
See the story
CASE STUDY: ARTIFICIAL
INTELLIGENCE
Innovative approaches to data challenges
Ad Hoc encourages our teams to bring
creative
solutions and
leading technologies to our customer’s challenges.
Recently, one team used a natural
language
processing tool
to bring the benefits of artificial intelligence to a data problem that had proven to be too complex for
traditional methods.
The customer had a database of text
entries
that
were
approximately 30% duplicates. Because the entries all had very subtle variations, traditional
deduplicating
tools couldn’t identify them.
We
used an open-source large language model to identify duplicates with
an 84% accuracy rate.
We then connected the tool to the
database
input
fields
through an API to nudge future inputs to use standardized language and keep the data clean.
With this careful application of AI, we
were
able to unlock new insights for our customer and allow them to improve how they used data to make
decisions.
With support from Ad Hoc, our prime contractor Oddball and our team partner Empirical Path, the VA quickly built a COVID-19 digital response dashboard to help measure the trajectory and success of their COVID-19 digital services. Learn more about our work.
Related approaches used for Medicare Plan Finder:
APIs
Data Pipeline
Data Visualization
DevOps
Case study
Platform Analytics for VA.gov
Ad Hoc, as a subcontractor to the Prime contractor, Oddball, created data products and provided training that help teams make more meaningful, data-informed decisions. Learn more about our work.
