The Source for
Actionable External
Data Signals

You know your models and analytics are missing
inputs, we can tell you which ones.

Nitrogen.ai has an external data signal cloud
of 115,000 and growing curated, cataloged,
and integrated data signals.

Our ground breaking DataTiles™ platform makes it
easy to find the right data signals using faceted
search, keyword search, statistical analysis
or machine learning.

Our expanding data signal cloud includes a diverse, yet actionable,
range of data signals at almost any geography and time dimension. For example.



Financial
Markets



Macro
economics



Population
Demographics



Store
Traffic



Labor
Statistics



Weather



Live Event
Traffic



Commodity
Prices



Housing
Starts



Consumer
Credit



Gas
Prices



Home
Sales



Consumer
Confidence



Commute
Times



Crime

We’ve organized all these data signals into DataTiles™ using our universal semantic layer that describes every DataTile; where it came from, how it was calculated, and how it connects with every other DataTile. This provides unprecedented ability to search for relevance, perform statistical analysis across hundreds of thousands of data signals and mashup thousands of signals into any fidelity for further analysis.

Our expanding data signal cloud includes a diverse, yet actionable,
range of data signals at almost any geography and time dimension. For Example.

Business

Purchase Intent

Macro-

economics

GDP, Producer Price indexes, Capacity utilization, Industrial production, Government statistics, etc.

Population

Demographics

Age, Gender, Ethnicity, Income, Education, Marital status, Employment, Veteran status, Poverty, etc.

Store

Traffic

Visits by store category type Airports, Gas Stations. Coffee shops, Banks, etc.), visits by major/top brand (Subway, Walmart, McDonalds, etc.), visits per 10,000 people, etc.

Labor

Statistics

Civilian Unemployment Rate, Average Hourly & Average Weekly Earnings, Hires, Quits, Wages, Job Openings, Labor Turnover, Employment Rate, Payrolls, etc.

Weather

Temperature departure from norm, cooling days, storm (High winds, Hail, thunder, etc.) days, precipitation, snowfall, etc.

Live Event

Traffic

Visits to flea markets, car shows, political events, sporting events, religious places, classes and lectures, etc.

Commodity

Prices

Kansas Wheat Index, Zinc Index, Brent Crude Index, Lean Hogs Index, Oil Prices - U.S. $ per Barrel, Producer Price Index by Commodity, Revenue for Commodity Contracts

Housing

Starts

New Privately Owned Housing Units Started, Size of structure (# of units), Median Square Feet of Floor Area, New Home Starts, Nonfarm Housing Starts Thousands of Units, etc..

Consumer

Credit

Consumer Revolving Credit , Total Consumer Credit Outstanding, Installment Sale Credit Outstanding, Securitized Consumer Revolving Credit, student loans, Credit Cards and Other Revolving Plans, Overdraft Credit, and Related Plans, etc.

Gas

Prices

Weekly Regular Gasoline Prices ($/Gallon), No 2 Diesel Retail Prices, gas station (visits), Premium Conventional Gas Price Dollars per Gallon,

Home

Sales

Existing Single-Family Home Sales, Housing Inventory, New Houses Sold by Stage of Construction, Median Sales Price, Monthly Supply of Houses, etc.

Consumer

Confidence

Consumer opinion surveys reporting Confidence indicators, Composite indicators, National indicators, Measures of Consumer Sentiment, Leading indicators, etc.

Commute

Times

Mean Commuting Times, Aggregate travel time to work, Means of transportation to work (carpool, rail, taxi, car, truck or van, etc.)

Crime

Signals by crime types (Homicide, Burglary/Breaking & Entering, etc.) for incident counts and rates from individual jurisdictions and NIBRS (National Incident-Based Reporting System) of the FBI.


We have a universal semantic layer that describes every DataTile, where it came from, how it was calculated, what its quality is, and how it connects with every DataTile. This provides unprecedented ability to search for relevance, perform statistical analysis across hundreds of thousands of signals, and mashup thousands of signals into any format or grain data set for analysis

Mashup 1000s of Data
Signals in Any Format

We have a universal semantic layer that describes
every DataTile, where it came from, how it was
calculated, what its quality is, and how it connects
with every DataTile. This provides unprecedented
ability to search for relevance, perform statistical
analysis across hundreds of thousands of
data signals, and mashup thousands of data signals into
any format or grain data set for analysis

To find the actionable signals within
this data cloud, Nitrogen offers multiple approaches to
discovering actionable data signals

Use our DataTiles FacetedSearch to Find Data Signals you Need

DataTiles is a cloud-based platform that makes it easy
to find and use actionable external data signals

DataTiles provides both a right brain (intuitive) and a
left brain (analytic) approach to discovering
actionable data signals

For your right brain, you can use faceted and keyword
search to find data signals you need

For your left brain, you can use correlation and machine learning
to automatically find actionable external data signals

You can run hundreds of thousands of correlations against your dependent variable to identity
actionable external signals and then use Lasso multivariate regression to reduce
 collinearity and find the best variables for your model.

The joined set of signals is delivered in your desired format: CSV files, ODBC, JDBC or a cloud-based
SQL sandbox that can Integrate into your current infrastructure and data pipeline.

Human in the loop
Curation into DataTiles™

Faceted search to narrow
scope

Correlation of DataTiles to
increase relevance

Use Lasso multivariate regression
to decrease collinearity

Join relevant data signals into
analysis ready data frame

This joined set of data signals is
delivered in your desired format that can
integrate into your data pipeline

Our Machine Learning
Feature Selection
Funnel shortens the time it takes to find relevant variables.

DataTiles organizes our data signal cloud into a universal semantic layer based on time and geography. It defines how data signals are aggregated, enabling the automatic combining of data signals that are on different time and geography scales. Sophisticated statistical analysis compares your internal signals to external signals, and external signals to each other, to identify those best for you.

Charts and graphs help you to understand the data signals and generate insights. Once you’ve selected the external data signals, we continuously deliver them to your data pipeline.

Find your
Actionable External Data Signals

Please contact us for a discussion and demo of the DataTiles platform.

REQUEST A DEMO