Office Tenant Analysis & Forecasting
Forecasting the growth of different types of businesses in an area.
Office Tenant Predictive Analytics
Predicting the movement and growth of commercial businesses within an area.
Office Worker Profiling
Profiling office workers to identify who these people are, what they think and how they behave.
Retail Customer Profiling
Profiling the movements, behaviours, needs, values and spending habits of visitors to a retail precinct.
Retail Tenant Analysis & Forecasting
Forecasting the growth of different types of retail businesses categories within an area.
Retail Tenant Predictive Analytics
Predicting the movement and growth of retail businesses within an area.
F&B Venue Analysis
Analysing the type of cuisine, rating and pricing of popular venues within an area.
Highest & Best Use Recommendations
Using historical and forecast data across both demand (residential, worker and visitor populations, including retail expenditure across segments) and supply-side (existing competition and planned development), derive projected revenue and provide recommendation on retail mix for a precinct.
Residential Forecasting
Forecasting residential population growth and the demographic of these populations.
Resident Customer Profiling
Analysing the residents of neighbourhoods surrounding a proposed development, including attitudes and spending habits.
Liveability
Analysing the social amenities required to create livable developments and space.
Accommodation Analysis & Forecasting
Identifying and forecasting the growth in accommodation within an area, including number of tourists and length of stay.
Tourist Customer Profiling
Identifying and profiling tourists visiting a precinct, including approximate home locations, shopping attitudes and behaviours.
Visualising how people travel to, from and around a particular location.
Building Occupant Profiling
Geo-fencing a building or precinct, using our artificial intelligence to separate workers from visitors, and profiling the workers in terms of travel, movement, demographics and psychographics (values, habits, attitudes).
Services/Amenity Needs Analysis
Assessing the service and amenity within the catchment surrounding a commercial building, in the context of the needs of the building occupants (workers).
Office Tenant Analysis & Forecasting
Using predictive analytics to forecast the growth of commercial businesses (by category) within a defined area.
Retail Catchment Derivation
Using movement data for the customers identified within a precinct/location, density analysis is used to identify the appropriate catchment area.
Customer Profiling
Tagging customers with consumer profiles (Helix Personas), and analysing who these customers are, what they think, and how they behave.
Food & Beverage Analysis
Analysis F&B supply within a catchment, including breakdowns by category, cuisine type, social rating, and price point.
Expenditure Analysis & Forecasting
Analysis of the retail expenditure for the defined catchment area, broken down by market segment and expenditure categories.
Supply & Demand Forecasting
Forecasting business supply and market segment demand variables for future timeframes.
Highest & Best Use Recommendations
Using our artificial intelligence model that analyses all demand and supply variables for a catchment and provides recommendations on highest and best use retail categories.
Resident Profiling
Analysing the residents of neighbourhoods surrounding a proposed development, including attitudes and spending habits.Residential Forecasting
Forecasting residential population growth and the changes in demographics for these residential populations.Social Infrastructure Recommendations
For large-scale residential developments, our artificial intelligence model will analyse the social infrastructure for the development catchment and provide assessment of the services that are in over- and under-supply.
Tourist Analysis & Profiling
Expenditure Analysis & Forecasting
Tourism Predictive Analytics
Foot Traffic Patterns & Heat Maps
Visualisation and quantification of foot traffic within a defined area and time period(s).Event Analysis
Impact analysis of an event (e.g. sporting event, organised event, holiday period, etc.) on foot traffic a catchment area.Any Defined Location/Area
Ability to conduct this analysis for any defined location or area (subject to availability of data for the specified time period).
HYDRA - GEO-SPATIAL DATABASE
The foundation of the platform is HYDRA, our core database that houses the terabytes of data we have acquired over the past year. The database is optimised for running large, complex queries on the big data sets across space and time dimensions.
BUILDING OCCUPANT PROFILING
Our Building Occupant Profiling product offering has been developed over the past six months. Using anonymised people movement data linked to consumer profiles, we geofence a commercial precinct and provide unparalleled insights into who works there, how they use the area, their attitudes, values and beliefs, and whether the surrounding catchment for the precinct is meeting the needs of the workers.
MIXED-USE DEVELOPMENT
Our original AI-powered product, GLORIA, is currently being upgraded to encompass the additional data sets that we now have available to provide even more sophisticated analysis and recommendations for the best and highest use services for a retail space.
SOCIAL INFRASTRUCTURE & LIVEABILITY ASSESSMENT
We are currently developing a model that will provide assessment and recommendations for best and highest use social infrastructure services (e.g. child care, green space, kindergartens, playgrounds, etc.) for a planned development, based on the needs of the residents within the subject site and the surrounding 20-minute neighbourhood and existing (and planned) services and amenity.
The foundation of our platform is HYDRA, our core geo-spatial database that houses the terabytes of data we use to run all of our analysis. The database is optimised for running large, complex queries on the big data sets across space and time dimensions.
Our platform derives the trading catchment for a development precinct, analyses the market segments within the catchment (residents, workers, and visitors), and then uses demand and supply-side data and our artificial intelligence capabilities to provide recommendations on highest and best use services for the development/precinct.
Our Building Occupant Profiling product offering has been developed over the past six months. Using anonymised people movement data linked to consumer profiles, we geofence a commercial precinct and provide unparalleled insights into who works there, how they use the area, their attitudes, values and beliefs, and whether the surrounding catchment for the precinct is meeting the needs of the workers.
Our platform analyses the social infrastructure present within a catchment (across 30+ categories, e.g. child care, green space, kindergartens, playgrounds) and uses our artificial intelligence to compare the catchment to other comparable neighbourhood areas and generate recommendations for best and highest use services.