Dashboards
Capability proof
National Dental Dashboard
Explore the national NPPES dental-provider dataset with linked state and specialty filters, distributions, and provider search.
Explore the national dental marketThe National Plan and Provider Enumeration System contains valuable public information about individual dental providers, but the source is a massive healthcare-data release organized around identifiers and taxonomy codes rather than the questions a business user naturally asks.
For teams selling to dental practices and specialty groups, the useful starting point is much simpler: Where are the relevant providers? Which specialties are represented in a state? How large is the available market? Who should be researched next? The dashboard turns the raw national file into that focused discovery workflow.
The outcome looks simple.
The work behind it wasn’t.
Find the dentists inside the national file
Why it was difficult
The August 2026 NPPES source contained 9,726,865 records across 330 columns in an 11.6 GB main CSV. Taxonomy codes and their primary-status switches could appear in any of 15 repeated positions.
The response
Build a CSV-aware pipeline that identifies individual providers whose primary taxonomy is in the NUCC Dentist class, checks all 15 positions, preserves the full source record, and fails closed on malformed rows, duplicates, invalid NPIs, or taxonomy drift.
Turn healthcare codes into market filters
Why it was difficult
Raw taxonomy codes are meaningful to healthcare data systems, but not to someone trying to identify general dentists, orthodontists, endodontists, oral surgeons, or other specialty groups.
The response
Join provider taxonomies to human-readable NUCC descriptions, then make state and specialty bidirectionally faceted so either selection limits the other to valid, counted choices while preserving the active search context.
Move from a record to a real prospect
Why it was difficult
An NPI record is useful evidence, but it is not a complete or current picture of a dental practice. A seller or researcher still needs an efficient next step.
The response
Combine readable provider details with a direct CMS NPI Registry link and a one-click Google search prepared with the provider name, profession, city, and state.
Built for people trying to find the signal inside a very large market.
B2B growth teams
Sales and business-development teams targeting dental practices or specialty groups.
Build a focused provider universe by state and specialty, understand its size, and identify specific dentists for further research.
Replace a difficult national healthcare-data extraction problem with readable filters, live counts, provider details, and a direct research handoff.
Dental market intelligence
Researchers, analysts, and service providers studying the geographic distribution of dental specialties.
Compare provider concentrations, explore specialty availability across jurisdictions, and inspect the public records behind aggregate counts.
Move from the national picture to a valid state-and-specialty segment and then to individual providers without building the underlying data system first.
A one-time public release,
made genuinely useful.
Across the full August 2026 NPPES release
Extracted under the verified Dentist-class policy
Across valid U.S. jurisdictions
Presented as readable specialty choices
After width, NPI, duplicate, and taxonomy checks
A national dental market can be narrowed to a useful specialty-and-state segment without downloading NPPES, decoding taxonomy files, or building a database first. A B2B team can move from broad market sizing to a concrete list of providers, then open a current web search for any provider in one click.
The same interface supports exploratory questions: which specialties are represented in a state, where a specialty is concentrated, how many providers match a target market, and which public records deserve closer review. It shortens the distance between a government dataset and an actionable research starting point without presenting the source as a complete or current sales database.
Large-scale public healthcare-data product design: safely extracting a precise professional cohort from a multi-gigabyte government release, preserving complex taxonomy relationships, translating coded records into human-readable market filters, and connecting aggregate exploration to provider-level research.
See the work