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The goal of TidyAnalytics as a company is to develop apps and strategic data assets that distill complex data, for organizations of all stripes, in an affordable and immediately useful way.

We lean heavily on open-source technologies and next-generation database tools capable of harnessing large analytical datasets on a single computer to produce lean and mean, cost-effective analytical engines.

Our tools and underlying metrics seek to reduce the cognitive load for data users, and believe most decision makers in organizations have no interest in -- and are not suited for -- 'slicing and dicing' the data down a rabbit-hole, but simply need to know in a clear and succinct way, and on a regular cadence, where things stand relative to benchmarks.

We produce opinionated tools, and believe, from experience, that a very few core customer indicators, combined with selected inputs from external data sources about the wider marketplace provide a powerful management and development framework for organizations of all kinds. The particulars may vary from industry to industry, but the design patterns remain the same.

We believe that as AI floods email inboxes at an ever increasing rate, users are tuning out in proportion; conversely, we believe that organizations that take control of their first-party data to build a meaningful understanding of, and ongoing dialogue with, their customers, members, or constituents will be richly rewarded.

TidyAnalytics products and services are based on the experience of over 30 years of designing, building, and supporting customer analysis applications by founder Joel Narducci. Learn more about Joel here

Joel Narducci
Founder, TidyAnalytics

Joel has been building, delivering, and supporting customer and prospect analytics applications for over 30 years, specializing in production-oriented and automation-driven solutions. Working as a part of a team of long-term business partners and highly skilled data analysis wizards, these projects and their deliverables have often been foundation-building systems for clients, establishing processes and standards in data infrastructure, marketing measurement, and analytics which did not exist before within their organizations.Joel founded his first practice Market Geography in the Spring of 1990 to deliver solutions based on geo-demographic and spatial analytics, when these techniques and the supporting GIS technology were just entering the business mainstream.In the mid '90s, Joel began a series of long-term data analytics engagements with large corporate clients in the financial services, telco, hospitality, and B2C franchise-service sectors, eventually extending his spatial analytics practice to deliver enterprise-scale automated solutions for marketing measurement, predictive modeling, customer segmentation and LTV, and customer data quality and entity matching/resolution. The largest of the CDQ/matching systems has been operating since the early 2010's for a large franchise client, through several design iterations, delivering a massive customer file reliably each week.Joel's interest in applied geo-demography and spatial analytics never left, so in 2024 Joel decided to return to his roots and founded TidyAnalytics, LLC to deliver spatially-aware, purpose-built tools for market, prospect, and customer analysis that smaller organizations can afford, featuring creative fusion of internal first party data and external market data combined with open-source analytics technologies.

Omnibus Subscription : Complete Access

A TidyAnalytics Omnibus subscription provides complete download access to all datasets and visualization dashboards produced by TidyAnalytics for a fixed, annual subscription fee.

This option includes all data updates issued during the subscription term.

Subscribers are provisioned with one administrator account and up to four additional user accounts.

Note that as of September, 2025 the omnibus subscription is the only way to gain access to the TidyAnalytics API endpoints; standalone API options are planned for early 2026.

For many organizations whose data needs go beyond a single topic or tactical use, the Omnibus Subscription is likely to make the most sense. We have an aggressive timeline for data releases planned for the remainder of the year and beyond, see our roadmap here: TidyAnalytics Roadmap

Roadmap

Development ItemVenueDescriptionTimeline
US Housing Unit GrowthGeofactery.usCollation and aggregation of block level address count data released periodically by Census Bureau, with calculated growth rates and comparative indexes for multiple geographic aggregation levelsSeptember 15
Labor force estimates by 1 year age group, state-levelGeofactery.usOne year population estimates and corresponding labor force participation rates by state for single year of age. Estimates are based on a blending of ACS state data by age group with BLS national estimates by age group. Features a proprietary TidyAnalytics interpolation algorithm to reconstruct and estimate single year of age values within each of the original age-grouped reporting bucketsOctober 2025
GenProfile name to age profiling appGenprofile.appAge profiling of any US based list, using SSA name data for 100,000+ first names. Generates a graphical profile versus a user chosen baseline comparison population, along with a downloadable profile file for further use and comparisonSeptember 15
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