We model and produce highly refined real estate datasets into visual reports and detailed individual property profiles for our customers.
Taking raw data from multiple sources both public and private, then layering the raw data with our own synthesized data to build our corpus, is just one step into creating a high value corpus of data. We don’t stop there. We run the corpus through a chain of proprietary processes to further enhance the data.
Utilizing pattern recognition, we enable our systems to learn from the vast stores of data. By iteratively testing and tuning our systems, the models independently adapt to new real estate data that we harvest.
Our systems are continually exposed to new real estate data and images. They independently adapt to produce reliable, repeatable decisions and results.
We apply statistical analysis to determine the shape of the data. This is just another step in our workflow to ensure we understand the dimensions of data for city intelligence applications.
We employ UX and visual design best practices on our data in a way that reduces user’s cognitive load. More simply, it’s transforming data into knowledge for informed action.
FINDING ANSWERS WITH ALTERNATIVE DATA
Alternative data is defined as data from non-traditional data sources. Depending on the area, traditional data sources that are already widely used by you and your competitors will change, even grow. However, the value of alternative data is clear: the use and the analysis of this enhanced data drives unique insights and actions for your current capabilities beyond those that regular data sources are capable of providing. Alternative data is a very important competitive differentiator.
We are witnessing a data revolution. The data that you use to power your business or regulate your cities is at least as important as the technology that ingests, stores, processes and analyzes it.
Data is always changing. In order to remain competitive, your software needs to be constantly updated and improved. At Deckard, we look ahead with our engineering and research efforts to adapt to the turbulent flows of data.
Propertyscape is our property tax analysis solution. It uses machine learning, and analytics to identify properties with unpermitted construction that are currently undetectable. This allows the county and local municipality to inspect, properly assess, and collect all taxes and penalties owed.
Municipalities frequently lack insight on the local short-term rental (STR) market. Rentalscape provides the ability to monitor, discover, triage and inspect local short-term rentals with a higher-level of accuracy, precision and usability. This allows the city to properly regulate rental hosts and ensure compliance in their area.
We deliver datasets without the the need for accompanying software to translate and present the insights. Oftentimes customers want to consume the data with their internal systems to perform in-house analysis. For that reason, Deckard sends high quality, refined datasets as standalone products.
Deckard Technologies is a real estate data analytics and technology company focused on ensuring regulatory compliance, public safety and community equity