Examine hyper-localized markets by income, net worth (up to $2.5 million or higher), for age 75-79, 80-84, 85+ or any other age cohort, which no legacy-generation data provider can generate accurately at our level of granularity.
This granularity and accuracy offers significant analysis advantages for assisted living, where the average age of entry is in the eighties, and high-end senior living, which requires higher levels of net worth than tracked by legacy-generation data providers.
Get the most accurate and up-to-date economic and demographic forecasts using the StratoDem Analytics engine nowcasts.
When the current generation of data sources provide 2018 demographic estimates, they rely on Census Bureau data that was actually collected on average four years ago. At StratoDem Analytics, data science enables accurate nowcast data as of last month. That typically provides clients one to four years head start in understanding demand shifts in the markets.
Model back-testing shows that StratoDem Analytics’ forecasts are up to 35% more accurate than legacy-generation data estimates on household wealth, and up to 10x more accurate at forecasting demographic changes.
The StratoDem Analytics engine not only ingests more than 200 data sets from dozens of governmental sources, but it is also the nation’s first and only system that connects all that data to fuel advanced real estate analysis. As a result, only StratoDem Analytics can run massively multivariate analyses, Bayesian hierarchical modeling and other machine-learning techniques to understand where the underlying state of real estate demand factors is today and where it is most likely to shift over the next five years.
Meet Blaise ML by StratoDem Analytics, our machine learning analyst. On large portfolios with hundreds of properties, Blaise ML provides clients desktop access to answers for questions about senior living property investment, development and disposition, predicting which targets will have the strongest or weakest demand-growth outlook.
Answer questions such as:
Identify what makes submarkets unique. For individual or multiple market areas, Blaise ML by StratoDem Analytics answers questions such as "Which net worth segments of my catchment area are likely to grow faster than the broad metro area?", giving you shareable written analysis, maps, charts and downloadable versions of the underlying data.
Use suggested questions to ask Blaise ML about markets and customize across segments and time periods, or create new questions. Blaise ML deploys machine learning and natural language generation to build the answers to questions, leaving StratoDem Analytics clients more time to focus on optimizing deals and strategy.
Upload a portfolio of property locations and compare historical, current and forecast market conditions.
For example: After uploading 700+ senior living properties, Blaise ML helps to frame the questions that matter by geographic region or property set - dramatically speeding up the research and due diligence process.
Get a deeper analysis of a selected set of top- or bottom-performing properties, powered by Blaise ML and the StratoDem Analytics Engine.
For example: Blaise ML analyzes and ranks your portfolio based on key trends such as:
Drill down into the top- or bottom- performing properties you pull with Blaise ML.
For example: After Blaise ML identifies a top-ranking property in Portfolio, it can direct you to the Markets application, where you can break down the market by granular submarket or segments by age, household income, net worth, home value, educational attainment, etc. Blaise ML uses maps, charts, heatmaps and written analyses to transform raw data from the StratoDem Analytics Engine into easy-to-share content (and data exports) for segments such as households 75 to 84 years old with household income between $25,000 and $75,000.
Upload your investment portfolio and create reports. Download the data in Excel format and use it in presentations or other internal Excel applications.
For example: Compare your investment portfolio market performance with:
StratoDem Research Suite provides organization-wide access to a powerful data science platform that allows clients to analyze historical trends, track current developments in our nowcasts, and build confidence in future market performance with forecasts of economics and geo-demographics for any market or submarket across the US.
We offer access to an ecosystem of data science products including:
StratoDem Analytics provides StratoDem Research Suite, an online analytics solution that provides market- and submarket-level analysis for economics and geo-demographics. StratoDem Research Suite includes:
Included with access to each of our platforms are the following services:
StratoDem Analytics provides complete coverage for the entire US (except some remote regions of Alaska), including:
StratoDem Analytics provides nowcasts and forecasts for critical economic and demographic metrics, including:
This is just a starting point for what StratoDem Analytics provides for clients, and we also frequently add, build, or integrate new data sets for clients during the initial on-boarding process or as more comprehensive semi-custom builds.
Don't see something you need on the list above?
We may already have it, but we also frequently add, build, or integrate new data sets for clients during the initial onboarding process.
Nowcasting is the prediction of the present state of data before it is released by the Federal governmental statistical agencies.
Example: StratoDem Analytics can predict 2017 regional GDP numbers (Gross Metropolitan Product or GMP) in January 2018, when the Bureau of Economic Analysis will not release the 2017 data until November 2018. The Goldman Sachs Growth Tracker and the Federal Reserve Bank of Atlanta GDPNow deploy similar methods for national growth estimates, although only StratoDem Analytics can release this data at local-market level instead of national level.
Why does it matter?
Every data set is released on a lag. For example: The 2017 American Community Survey population data is released by the US Census Bureau at the end of 2018. 2016 county-level income data is released by the US Bureau of Labor Statistics at the end of 2017. Household net worth data is released by the Federal Reserve Bank once every three years. Nowcasting creates accurate estimates of where that data will be before it is released, giving clients dramatic leads in understanding local market conditions before competitors – providing true competitive advantage.
Bayesian modeling is an approach to statistics that uses the mathematics of probability to combine data with prior information.
Why use Bayesian modeling? Bayesian models drive inferences which are more precise than would be obtained by either of those sources of information alone. StratoDem Analytics uses Bayesian modeling to combine hundreds of data sets at varying frequencies and geographic levels in a statistically rigorous, robust way.
As one example, the StratoDem Analytics engine builds its core population forecasts using hierarchical Bayesian time-series modeling with data from national, state, metro, county, census tract data (and more!).
The downside of Bayesian modeling? The models typically come at extremely high computational cost, which is why complex implementations are only now becoming possible in this era of scalable data science.
Yes. StratoDem Analytics frequently builds what we call semi-custom deliveries, where we do some of the following for our clients: