ipData is a data analytics company that develops state of the art algorithms and intelligence systems to inform people’s decisions and help business and policy makers shape our cities.
- Property development analytics: Sophisticated mathematical algorithms applying cutting edge technology to provide accuracy and speed in the property development, real estate and valuation processes.
- Spatial and economics planning: Predictive urban policy tools to help Governments develop policies and help to plan cities.
- Big Data information systems: Data cleansing and development of ‘big data’ sets to assist decision makers.
- Transport Analysis: Development of journey mapping algorithms to inform retail, commercial sectors and traffic systems.
Turnkey Research & Custom Analysis
ipData looks at challenges systematically, developing unique approaches to solve complex problems; to create economic success and well-being. Research is customised to our clients needs.
Two Way Thinking & Clever Design
Most thinking is often linear and performed in one direction to deliver an outcome, applying human and financial capital. We also start at the outcome end to build effective strategies and incisive tactics.
“Can I develop this house or block of land? Is it a good investment decision?”
Since the development of Google’s search engine, algorithms have played an important role in everyday life. Artificial Intelligence (AI) has the potential to increase productivity by ~40 per cent, and is projected to contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. The impact on productivity will be competitively transformative – businesses that fail to adapt and adopt will quickly find themselves uncompetitive (Australian Institute of Machine Learning).
As Australian populations increase, so does the demand for residential development opportunities to fulfil the growing appetite for middle suburban and inner city living. This is called ‘infill’ residential development. Builders and developers conduct due diligence on individual developable parcels of land that can incur large costs (at times in the tens of thousands of dollars) as well as time delays, counted in days or weeks. Homeowners, buyers as well as real estate agents find it difficult to engage in this process without the right knowledge and tools.
‘Machine learning’ Property Algorithms
ipData have spent the last 4 years developing ground-breaking “machine learning” algorithms that automate valuations (AVM) to undertaking the property development feasibility process.
ipData applies sophisticated ‘machine learning’ algorithms, cutting edge technology, advanced GIS mapping with analytical tools to quickly cut through a fog of property data, complex council rules, valuations and building approaches to gain new insights. Our state of the art algorithm instantly draws upon a range of real estate and technical ‘Big Data’ bases to assess not only single parcels of land, but also entire streets and suburbs. This means the user can exponentially speed up the due diligence process to assess potential properties and development options. Investors can gain access to high investment return sites to optimise their investment portfolio, backed by an added library of analytical tools. ‘Analytics’ also allows state and local Government policy makers, state finance and utility authorities to test a range of future scenarios (growth, financial, economic, social, employment, environmental), see ‘Policy Model’.
ipData allows you to more accurately assess the developable potential of a property before committing financial resources, which are nevertheless required to further refine the feasibility of a site. ipData can also assist at this end by providing a list of preferred professional planners, valuers, designers and architects, builders, real estate agents and other services.
How it works
Valuation algorithm (AVM)
ipData–value – is a sophisticated machine learning algorithm that robustly predicts the price of a property. Our algorithm draws on big data sets and patterns to predict property values in a completely new way compared to traditional automated valuation models (AVM) based on regression analysis or simplistic algorithms. Benchmarking against other algorithms in the market place shows superior results and accuracy.
Residential Development Algorithm (RDA)
ipData-develop – is a “purchase to sale” property development, ‘machine learning’ algorithm that rapidly undertakes the property feasibility process. The algorithm coordinates several hundred thousand data points in multiple data bases via numerous formulas controlled by an iterative process using cutting edge technology and machine learning. The algorithm is multi-disciplinary i.e. automates several white collar services applied in a typical development feasibility process including: valuation, planning, architecture, development, building and real estate sale appraisals. The results are arguably more accurate than going through a manual process because it optimises the interface between each of these disciplines repeating itself multiple times (iterative) to arrive at the most profitable development outcome for that parcel. The result is delivered to your phone or desktop computer in seconds of entering an address. In contrast, a manual feasibility process usually requires disparate information and meetings, often taking weeks and thousands of dollars to complete.
Urban planning software (UPM)
ipData-plan – is an urban policy model that draws on the results of ipData–d, applying dynamic modelling to better understand demographic and investment patterns at a suburb and metropolitan wide level. ipData is currently being engaged by governments, utilities and policy makers to test planning, capacity, and financial/economic scenarios, as well as new zoning rules. Artificial intelligence is again applied to observe patterns dynamically over larger areas and over time. Investment in a new park, rezoning, street trees, new infrastructure such as a tram, or simply redirected market interest, can change property demand in an area, tempered by the rate of housing product supply.
Vertical Integration System (VIS)
Each ipData product has its own custom interface. ipData has developed unique system architecture that vertically integrates algorithms and machine learning components to seamlessly talk to each other (data handshakes) with feedback loops to consequently provide a higher level of intelligence.
Who is it for?
The customers of ipData are wide and varied with each product or service drawing on a central database of tested results.
The Real Estate and Building Industry will seek site feasibility assessments to better understand the ‘return on investment’ (ROI) of a property should it be developed. Homeowners may want to know what their ‘nest egg’ return will be if developed now or at a later date, while investors may want to know which class of assets they should purchase. Banking and financial experts can test various investment strategies while strategic and council planners may want to test the outcome of a policy change across a suburb.
Builders and developers conduct due diligence on individual developable parcels of land that can incur large costs (at times in the tens of thousands of dollars), as well as time delays, counted in days or weeks. Homeowners, buyers, as well as real estate agents find it difficult to engage in this process without the right knowledge and tools.
Our machine learning algorithm will provide objective and quality property intelligence; not just ‘automated valuations’ on unimproved properties. The algorithm filters data and maps outliers to increase investment certainty. A number of products and services have been developed by ipData to meet the needs of the wide range of data users.
Property Development Reports
Property development or ‘feasibility’ reports are primarily for real estate agents, home owners, investors, developers and financial advisors. A property development report, presents relevant input and output information about the development potential of a property, options and dwelling types as well as the planning rules that apply (cross referenced to Development Plans/Schemes). Reports provide an indication of the property attributes (area, zone), purchase details (cost range), development options including market optimised building size, typical development costs recommended house and land price and investment return.
On-line Application (PC and phone app)
An on-line computer query system (personal computer or phone) allows users to geo-locate property (using street address data) is currently being developed. It returns information on whether the parcel is developable and has potential. This simple query system helps you decide about whether to progress to a ‘Property Development Report’. The cost will be applied as a unit rate on a query. The tool is currently being offered on a limited trial basis to selected professionals and clients for Beta testing.
Electronic data bases and GIS layers
Various products and maps can be supplied on a fee for service basis Typical products include maximum and optimum land yield (as allowed under the planning scheme/development plan), the ‘Capital to Site Value Ratio’ (long term attractiveness), preferred development type (e.g. semi-detached, detached housing, row dwellings, town houses, units, flats etc.).
“How do homeowners, potential buyers and the real estate industry get access to the data?”.
What is the “Urban Policy Model”?
ipData’s Urban Policy Model (UPM) is a new tool to assist strategic and urban planners to policy map and plan local areas with confidence. It allows state and local Government policy makers, state finance and utility authorities to test future scenarios (growth, financial, economic, social, employment, environmental). Councils are often unable to determine with much accuracy how the market will respond to new zoning policies. There is an assumption if a street or area is rezoned the market and building activity will follow. The market is however complicated and influenced by numerous factors. The accuracy of the UPM is based on a parcel by parcel analysis driven by market, property and suburb attributes, drawn from several hundred thousand data points (see ‘How does our Property Algorithm work?’).
The UPM has been developed by ipData and is powered by the algorithm. This makes policy and urban planning more precise when measuring the housing capacity of an area and where, and what type of development, is likely to occur. The UPM is able to assist planners, engineers and policy makers to better determine demographic distributions, employment projections and building activity, council rate revenue projections, stamp duty returns, social and physical infrastructure capacity and traffic and transport outcomes etc. The UPM is able to quickly test planning scenarios analysing up-zoning and redevelopment of low density areas as well as opportunities along corridors and centres. It can also undertake complex calculations such as development volume for site amalgamations.
The UPM is able to input a range of criteria as described above under scenario testing and output a range of indicators under various future scenarios. This is useful for predictive modelling or simply developing a report card of current trends. It can also be used to road test assess a Development Plan Amendment (DPA) to test new policy against market conditions.
ipData can develop a dedicated model for your council or shire upon request. (Please contact us for more information).
For a more detailed explanation on how the Urban Policy Model works please download our flyer Learn More
“Can the urban policy model be used to robustly test a development plan or planning scheme?”.
Australia’s Best City is Australia’s most comprehensive online database that compares Australian capital cities in over 500 indicators. The data is sourced from various official and unofficial sources, and expresses it in an easy-to-understand, visual, and dynamic way.
Australia’s Best City was created to respond to an absence of a centralised data platform that compares Australia’s capital cities in an easy-to-understand and frequently updated manner. Since its inception in 2014 the database has generated nearly 400,000 page hits from over 180 countries by tourists, students, potential immigrants and policy makers.
The name ‘Australia’s Best City’ aims to highlight the shortcoming of liveability indexes and ‘best city’ surveys, which are based on a fixed construct of indicators that do not always reflect the wants or requirements of the individuals that they are designed to represent. While several Australian state and city reports are released by government and non-government bodies annually, their use is static, and further independent analysis is often difficult, due to the nature of their reporting.
Australia’s Best City is designed to fulfil the need for a dynamic database that covers a myriad of topics relating to everyday life; from the economy, to climate and entertainment. It provides the data to cross reference information and draw in-depth, detailed analysis across a range of topics, whether comparing several of Australia’s capital cities, or examining one in particular.
All data presented on Australia’s Best City has been checked for accuracy and is updated on a regular basis. Our research team is constantly working to expand the database to make it more relevant, and to ensure there is always further possibility for research.
Register to gain access to view objective and quality property intelligence.
IpData is an exciting research company that turns hard to access data into visualized knowledge, providing the impetus for quality change and economic investment.
IpData takes a systemic view to challenges, developing unique algorithms to solve complex problems that deliver wealth and economic success. IpData is developing informative reports and indicators that will deliver clients competitive knowledge. The Best Cities Project and the HTE Affordability and Housing Stress indicators are our most current innovations.
George Giannakodakis, Founder and CEO
ipData’s Executive Director, George Giannakodakis (Fellow of the Planning Institute of Australia and Member of the Institute of Engineers Australia) has been advising state and local governments for over 25 years in metropolitan planning and infrastructure. His highly successful professional practice, Infraplan (Aust) Pty Ltd, has provided strategic advice across four states; has advised well over 300 property developments for developers, and managed the design and business case development of rail and highway projects worth several billions of dollars. He has a tertiary education in engineering, with majors in mathematics and economics
Alex Pyrlis, Associate Director, Property Development, ipData
Alex is a specialist property solutions provider in the residential and commercial sectors. He has developed an extensive network and diverse experiences over 20 years and has overseen the delivery of numerous large-scale property developments, with both public and private sector partners. Projects he has project managed include the Anchorage Islands project in NSW; Mawson Lakes in South Australia and the Edgewater project on the Maribyrnong River, Victoria.
Amanda Dunbar, Board Member, Business Manager
Amanda has a Master of Business Administration (Australian Institute of Business) and a Degree in Communications and Marketing from Monash University. Amanda has been the Business Manager of ipData since its inception, and is Company Secretary of ipData Holdings Ltd.
Aaron Garry, Independent Board Member
Aaron is the Managing Director at ABNAustralia.com.au (a division of David Garry & Associates) with a focus on company and business name registrations, Trust and SMSF deed establishments, and a range of related corporate registry maintenance and compliance services. Aaron spent several years in London UK as a financial controller and Senior Financial Accountant at Old Mutual Global Investors and Barclays Investment Bank. Aaron is a chartered accountant and holds a Bachelor of Finance (Golden Honour Society) from the University of Adelaide.
Ben Russ, Associate Director
Ben is a strategic planner with qualifications in social geography and urban planning. Ben has extensive experience in land use planning, public consultation, and project impact assessment and has project-managed and leads the geo-spatial (GIS) development of key data inputs.
Team of experienced specialists
ipData is supported by experienced specialists from wide backgrounds, including, computer science, geographic information systems (GIS), urban planning, mathematics, analytics, economics and property development.
ipData is constantly look for enthusiastic professionals from a wide range of disciplines to augment its services. We also support employing graduates and are currently developing an internship program. If you are interested in learning more, please contact us for more information.
There are many variables at play and even though some developers would seek a minimum 20% profit this can be restrictive on your decision. The next step is to meet with a range of professionals and institutions to progress your development project. This could include an accountant, financial lender or bank, council planner and if required third party professional advisor. Ipdata can provide in-house services and advisers can augment these reports, for example professional builders or planners, valuers and architects/designers.
ipData is currently compiling a list of preferred professionals and can provide referrals upon request. Please contact us for more information.
Register to gain access to view objective and quality property intelligence.
If you would like more information or examples of the RDA Tool, then we would be interested in hearing from you.
To register, please fill in the below form. By registering you will be giving us permission to send you promotional material regarding The RDA Tool and you are agreeing to our Terms and Conditions.