Data & Analytics in Real Estate Summit 2023

31 August 2023 | Sydney + Virtual

Making data your greatest asset

Making data your greatest asset

Data & Analytics is increasingly being recognised as the primary source of competitive advantage in one of the world’s largest and least digitised industries – Real Estate.

Senior decision makers working in real estate are looking to prioritise investments in technologies that can help them leverage their data for a whole range of mission critical objectives including ESG compliance, portfolio management, tenant acquisition and retention, sustainability, site identification for development, valuations and much more.

The 2nd annual Data & Analytics in Real Estate Summit will bring together 200+ industry professionals to share insights, best practices, and emerging trends in the use of these technologies. It will cover a range of topics, and feature case studies, panels and roundtables featuring leading advocates and users.

Summit

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Event Speakers

Meet Our Speakers

Joanna Marsh

Head of Venture Investment & Advanced Analytics, Investa

Ian Oppermann

NSW Government Chief Data Scientist, NSW Department of Customer Service

Dean Hopkins

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

James Strutt

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

Scott Bradburn

Head of Customer Insight and Data Innovation, The GPT Group

Jennifer Cook

Non Executive Director, Centuria Capital Limited

David Lamond

Director - Strategic Analytics, Insights and Research, Scentre Group

Michael Cook

Strategic Advisor, Proptech & Group Executive, Investa Property Group

Mark Weinstein

Northern Region Sales Manager, Advent One

Pasan Karunaratne

Machine Learning Engineering Lead, REA Group

The Program

The Data & Analytics in Real Estate is an exclusive event consisting of top-level content and thought leadership discussions. It’s where real estate owners, operators, managers, agencies, investors, Government, intermediaries and solution providers can come together to access the most up to date and credible knowledge delivered by local and international experts.

Topics that will be covered include:

Schedule Dates

Conference Schedule

31 August 2023 | Sydney

08:30

Registration & morning coffee

09:00

Opening remarks

Leon Kantor, Co-Founder, FuturePlace
09:05

Chairperson’s opening remarks

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
09:20

INTERNATIONAL KEYNOTE ADDRESS: Exploring the Human Side of Real Estate Data Analytics: Understanding the People Behind the Numbers

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)
10:00

KEYNOTE GOVERNMENT PRESENTATION

Data analysis, sharing and use: How Government is using data analytics to design, build and operate smarter buildings and infrastructure within a Smart City / Smart Places context.

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
10:25

PANEL DISCUSSION: Building data & analytics: Collecting, aggregating and analysing building data to optimise performance

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
11:05

Morning coffee & networking break

11:40

Interactive round table discussions

For in-person attendees only

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, PreSales 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
12:20

SPECIAL ADDRESS: Data-Driven Site Selection and Analysis: Maximising Opportunities for Development

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
12:20

Reserved for Partner

12:40

CASE STUDY I: How to prioritise data and analytics use cases against your business strategy so you can sell it to your CEO.

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
13:00

Lunch & networking break

14:00

DATA IN REAL ESTATE TECH TALKS

Examining the technologies driving better outcomes in data across commercial real estate

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
14:40

CASE STUDY II: How shopping centres are evolving their position in their communities through leveraging big data to enhance the customer experience

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
15:10

The role of AI and large language models in reshaping data analytics for real estate industry

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
15:30

Afternoon coffee & networking break

16:00

Unleashing the Power of Unstructured Data: Maximising Your Product's Potential

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
16:20

LOCKNOTE PANEL DISCUSSION: Enabling data-driven decision making in real estate: Leveraging data analytics for market insights and performance optimisation

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
17:00

Cocktails & networking

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