Blaise ML is a Machine Learning analyst designed to provide clients desktop access to massive computational analysis for portfolio-level and property-level market analysis and forecasting.
Blaise ML pulls exclusive data from the StratoDem Analytics Engine.
Standard geographies—metros, counties, census tracts, and zip codes—can be selected and/or combined by Blaise ML as the basis for your analysis.
For example: Compare the Austin-Round Rock, TX MSA to Dallas-Plano-Irving, TX to learn that Austin average household income growth has outpaced Dallas by over 4% the past five years.
Ask Blaise ML about top- or bottom-performing markets and discover how the selected location compares.
For example: Of all markets: Which markets are forecast to have the greatest percentage growth of households age 80+ with household income of $100,000+ from 2019 to 2024?
Blaise ML pulls the answer in seconds.
Ask Blaise ML about forecast market conditions, market volatility, and demand driver growth for multifamily housing demand or senior housing (or other products).
For example: Of all markets in the South Atlantic/Southeast division: Which markets have the highest alpha for economic performance relative to the US?
Blaise ML pulls the answer, restricted by region, state or metro, in seconds.
Upload a portfolio of properties 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 set of properties – dramatically speeding up the research and due diligence process.
Get a deeper analysis of 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, it can direct you to StratoDem Markets, where you can break down the market further into granular submarkets or segments by age, household income, net worth, home value, educational attainment, etc. Blaise ML uses maps, charts, heatmaps and written analysis 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.
Blaise ML is trained to answer questions on any data in the StratoDem Analytics suite, including uploaded data:
It's a four step process:
Since Blaise ML analyzes portfolios of properties, you can either upload a batch of addressees or geographic definitions, or use standard portfolios such as:
After uploading or choosing a portfolio definition, ask Blaise ML questions that you want to answer. For example:
Then, let Blaise analyze all of your properties across Florida (or anywhere else) and compile rankings, highlights, and maps for you (with supporting data available for export).
Use the rest of the StratoDem Research Suite to dive deeper into individual properties with Markets, share with your team or investors via PDF or online, or download the data in Excel format and use it in your own models.