Macrosense is the world's first platform capable of collecting and analyzing massive amounts of anonymous, aggregate location data in real-time.

At the heart of Macrosense are powerful machine learning algorithms that process time-stamped location data and metadata streams from heterogeneous sources – GPS, WiFi positioning, cell tower triangulation, RFID and other sensors – and empower companies and investors to better understand and predict human behavior on a macro scale.

Macrosense answers the following questions and more:

• Where else do my customers go and how has this changed
  over time? What about my competitors' customers?
  
  
• How far are people willing to travel to come to my store
  compared to last year at the same time? My competitors'
  customers?
  
  
• How much overall activity is there in the city's retail areas?
  
  
• From where do the most people come from before arriving at a
  particular location? Where do most people go afterwards, and
  how does this change throughout the day?
  
  
• Where do people make the decision to go to one place versus
  another? Which places in the city are "influence points"
  versus "stops en route"?
  
  
• How many people are going out at night? Locally or to
  destinations? By income level? Did the financial district come
  in early this morning?
  
  
• What is the city's hotel occupancy rate and tourism level?
  Are tourists shopping or sightseeing?
  
  
• What is the demand and elasticity of demand for places,
  activities and services by income level? What are the most
  dramatic increases and decreases?
  
  
• Where should I locate my store? What place in another city
  is most like this location?

Key Features of Macrosense

Real-Time Activity Analysis
The Macrosense platform cleans, processes, and analyzes live incoming data against years of historical data – and other information sources – to deliver alerts of unusual activity and analyses in real-time. Macrosense databases are uniquely designed to process spatiotemporal data efficiently for rapid decision-making support.

Powerful Analytics
Sense Networks has created powerful analytical models that are applied at each step in the data flow. From spatial data cleaning algorithms to identify and correct errors in raw location data streams to machine learning-driven behavioral analytics to measure and predict where people are and where they will go, Macrosense is tuned to transform raw location data into meaningful intelligence. The powerful algorithms continuously learn and update as new data arrives into the system.

Historical Data Normalization
The Macrosense platform already contains years of rich historical location data that serves as a benchmark for real-time data analysis. Historical context is critical to fully understanding and identifying trends in emerging temporal data sources.

Contextual Data Inputs
Contextual data such as demographics, weather, economic information, sales, and other external data help companies interpret location information to answer industry specific questions. The Macrosense platform normalizes data according to key data sets – including proprietary sets generated from historical data using machine learning – and also allows users to input their own data.

Flexible Interfaces and Visualizations
Macrosense transforms raw location data into intelligent data streams that drive a variety of applications and visual representations. The platform can be configured to interface with map-based programs, enterprise-grade data analysis tools, or custom applications. Macrosense can push data streams to websites or mobile applications for real-time display, or it can act as a real-time service in support of other processes.

Macrosense is a unique and powerful predictive analytics engine with vital applications for a variety of industries. Initial applications have been designed for financial services and retail. The platform is currently in private alpha release and will eventually be opened to third-party developers.