Alternative Real Estate Investment Summit

How to use data analytics to make robust, data driven decisions?  

• What are the latest trends in data and analytics in the real estate industry, and how are these trends likely to evolve in the future? 
• How can data enhance agility in your decision making? 
• Accessing Transparency in change management 

Joanna Marsh, Head of Venture Investment & Advanced Analytics, Investa

This presentation goes beyond the numbers to explore the human side of real estate data analytics. It discusses the importance of understanding the data “consumers” and their unique challenges, while also accounting for the impact that data-driven decisions can have on individuals and communities.  

• Bridging the gap between data and people 
• Understanding the dynamics of the “consumers” of data and analytics 

• Skill and capacity gaps that can derail your plans      
• The role of diversity and inclusion in real estate data analytics 

Dean Hopkins, Strategic Advisor, Ospr3y & Former Chief Operations Officer, Oxford Properties (CANADA)

Data analytics has become a powerful tool for designing, building, and operating buildings and infrastructure assets within a smart city. In this session we will examine how Government is using data analytics to design smarter building and infrastructure assets: 

• Collecting and analysing data from buildings and infrastructure assets, to inform decision-making and optimise operations 
• Leveraging data analytics to improve the efficiency of smart cities / Smart Places   
• Improving emergency response planning and resource allocation 
• All while ensuring data privacy and security in the collection and analysis of data from buildings and infrastructure assets 

Ian Oppermann, NSW Government Chief Data Scientist, NSW Department of Customer Service

Data and buildings have become increasingly intertwined in recent years as technology has advanced and the internet of things (IoT) has become more prevalent. In this session, we will explore the current state of data and buildings, the use of advanced analytics tools to identify opportunities for improvement as well as what the future might hold:  

• Current trends in data and buildings, and how they are impacting building performance 
• Using customer and catchment data to inform development and operations to create high performing places and improve asset productivity 
• Successfully operationalising building data through an architecture strategy that addresses the collection, aggregate, analysis, and protection of data 
• Using data analytics to understand the customer of the future 
• Overcoming the challenge of disconnected building systems and proprietary data formats to enable actionable intelligence 

Panellists

Dean Hopkins, Strategic Advisor, Ospr3y & Former Chief Operations Officer, Oxford Properties (CANADA)

Sumeer Shoree, General Manager, IT & Digital, Frasers Property Australia

Jennifer Cook, Non Executive Director, Centuria Capital Limited

Michael Cook, Strategic Advisor, Proptech & Group Executive, Investa Property Group

Joanna Marsh, Head of Venture Investment & Advanced Analytics, Investa

In this session, we bring together delegates in a series of 30 minute facilitated round table discussions, with leading industry experts. Join a table that most interests you and discuss the latest technology and industry trends with likeminded individuals. This will be followed by a 2-minute wrap up by table Facilitators, summarising the dialogue of each of their tables. 

Round Table 1: Customer Data: Driving Growth and Experience in Real Estate 

Facilitated by: Jennifer Cook, Non Executive Director, Centuria Capital Limited 

Round Table 2: The future of Data Analytics in Real Estate industry 

Facilitated by: Amit Shankarikoppa, Senior Data Scientist, Stockland 

Round Table 3: Building a data-driven culture 

Facilitated by: Dean Hopkins, Strategic Advisor, Ospr3y  & Former Chief Operations Officer, Oxford Properties, (CAN) 

Round Table 4: Unlocking the power of location Data to create connections between people and place in a digital world.  

Facilitated by: Eugene Kingsford, Pre​Sales Consultant, Geoscape Australia 

Facilitators

Jennifer Cook, Non Executive Director, Centuria Capital Limited

Dean Hopkins, Strategic Advisor, Ospr3y & Former Chief Operations Officer, Oxford Properties (CANADA)

Amit Shankarikoppa, Senior Data Scientist, Stockland

Eugene Kingsford, Pre​Sales Consultant, Geoscape Australia

Data-Driven Site Selection and Analysis is a strategic approach that uses data-driven insights to inform decision-making for development projects. It involves leveraging data analytics to assess potential sites, evaluate risks, and identify opportunities for growth. 

• Strategic analytics to inform prioritisation of investment 

• Data-driven evaluation of site suitability for different uses and developments  
• Use of data and analytics to overcome the challenges in site identification and analysis 
• Thorough risk assessment using data and analytics 

James Strutt, Director Strategy, Property & Development NSW, NSW Department of Planning and Environment

Using Multi-criteria decision analysis (MCDA) prioritisation can help sell data and analytics to the CEO- by prioritising use cases based on business strategy, data availability, and implementation cost. In this session we will learn the practical use of this tool helping organisations to prioritise the right use cases to support decision making on where to invest in data and analytics.  

• Align use cases with business objectives and KPIs for clear visibility of business values 
• Trade off data availability, quality 
• Implementation effort and cost against business outcomes 
• Prioritise with MCDA to develop a clear data and analytics roadmap 

Paul Gordon, CEO and Technical Director, Catalyze

In this rapid-fire session, we hear from four innovative data & analytics companies who are transforming the industry. Facilitated by leading multi-disciplinary, Advent One who are a multi-cloud solution and managed services provider. 

Colin Dominish, Head of Podium Services, Lendlease

Jill Chen, CEO, Uxtrata

Eugene Kingsford, Pre​Sales Consultant, Geoscape Australia

Facilitator

Mark Weinstein, Northern Region Sales Manager, Advent One

Shopping centres are embracing big data to gain insights into customer preferences and behaviour, allowing them to create personalised experiences and build stronger relationships with their communities. By leveraging this technology, they are able to optimise their offerings and deliver more value to their customers. 

• The use of advanced analytics techniques and machine learning technology to bring a superior customer experience.  
• By understanding customers behaviours – both in and out of centre, the decisions surrounding the curation of a centre can be optimised across leasing, marketing and operations. 

Presenters

Wade Tubman, Head of Innovation and Analytics Capability, CommBank iQ

David Lamond, Director - Strategic Analytics, Insights and Research, Scentre Group

This presentation explores how AI and large language models are transforming the way data analytics is conducted in the real estate industry. It will discuss the benefits of using these technologies to gather insights, identify trends, and make informed decisions. This presentation also highlights some of the challenges and potential risks associated with the use of AI in real estate data analytics 

• Unlock the power of Large Language Models to simplify complex data, bridge the gap between tech and business, and empower data-driven decision-making 
• How can AI and chatbots be used to enhance tenant experiences and improve building operations, property management and valuation? 
• What are the potential limitations or challenges of using AI and Chat GPT? 

• Future trends and developments in AI and chatbots for real estate data analytics 

William Cosby, Co-founder & CTO, Ex omnia

This presentation showcases the value of unstructured data in product development, discussing how it can be analysed to drive innovation, gain insights, and stay ahead of the competition. This presentation also covers some of the best practices for collecting, storing, and analysing unstructured data to achieve maximum impact. 

• How has the industry evolved over time to allow maximum usage of unstructured data?  
• How do we at PropTrack leverage AI models that extract information from unstructured property data such as images & text? 

• How have the products at PropTrack benefited by unlocking potential from unstructured data? 
• How could you utilise some of our strategies to unlock value from unstructured data? 

Pasan Karunaratne, Machine Learning Engineering Lead, REA Group

As the real estate industry continues to evolve, data analytics is emerging as a critical tool for driving data-driven decision-making and performance optimisation. In this session, we will explore the ways in which data analytics can be utilised to gain market insights, improve customer engagement, and assess asset performance. Join us to discover the potential benefits of leveraging data analytics across the entire life cycle of real estate assets. 

• Discover the data required for valuable insights and create a digital supply chain that can fuel analysis for real estate success  
• Improve decision-making with data-driven insights on property values and investment opportunities 
• The challenges and value of consolidating data sources for added insight on real estate performance 
• Overcome key challenges and limitations in using data analytics to mitigate risks across the real estate industry, from construction to asset management and beyond 

Panellists

Denis Asnicar, Head of Analytics, QIC

Clive Parsons, Director, Digital Construction Office, Mirvac

Scott Bradburn, Head of Customer Insight and Data Innovation, The GPT Group

Moderator

Tracy Ho, Property Technology Innovation Lead APAC, JLL