CDO ANZ Hybrid Series - September Edition 2022
Creating a Data Rich Culture to Address Complexity and Critical Thinking
Hosted by Factor
- 500 attendees
- 31200 hours
Overview
Exploding quantities of data have the potential to fuel a new era of fact-based innovation in corporations, backing up new ideas with solid evidence. Buoyed by hopes of better satisfying customers, streamlining operations, and clarifying strategy, firms have for the past decade amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many companies a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Join this months edition to learn how to:
Creating a culture to go hand in hand with your digital infrastructure
Crafting a mindset of value measurement, alignment, and viability
Less bureaucracy more autonomy: measuring the success of key industries that focused on customer values.
Utilising Insights to Enhance the Value Propositions for Your Customers
Using advanced analytics, machine learning and personalisation techniques to deliver relevant experiences
What to expect
- 20+ Sessions Full day program
- Speakers 20+
- In-deep Interactions 1:1
- Attendees 150+
- 2 CDO Roundtables Sit-Down Executive
What we will cover
- Digital Infrastructure Creating a culture to go hand in hand with your digital infrastructure
- Organisational Mindset Crafting a mindset of value measurement, alignment, and viability
- Organisational Value Proposition Utilising Insights to enhance the value propositions for Your Customers
- AI and Machine Learning Using advanced analytics, machine learning and personalisation techniques to deliver relevant experiences
Agenda
- How Tabcorp ensures a successful Spring Racing Carnival with healthy data(Plenary) With 50 million transactions a day, and an expectation to exceed this volume by far this year, betting is at the heart of the Spring Racing Carnival and directly impacts the state’s economical benefit. In this session, we will explore how Australia’s largest wagering and gaming provider deals with demands around enabling this success, in particular: Strict regulations and compliance requirements How data quality becomes critical when digital business is mainstream What sets them up for success to ensure the reliability of data delivery
- Being “Data Driven” About Being “Data Driven”(Plenary) It is quite clear that the data revolution has unleashed immense transformations across all businesses. The emergence of data analytics, data governance and data science has propelled enterprises to proactively strengthen their data culture with a common goal of achieving the overarching purpose of the business. Following 17 years in leading roles and delivering data-driven software and consulting services to major automotive brands in Europe, Asia-Pacific and the Americas, Alex is now spearheading the continued evolution of Jetstar’s use of data and analytics to deliver on its mission to “change people’s lives through low-cost travel”. Join this session to learn: • How Alex and his team are developing and evangelising a “data driven” culture across Jetstar. • With an unprecedented demand for travel came an unprecedented demand for data and analytics. • How a complex organisation can apply a “data driven” approach to being “data driven”.
- AI Governance: Gain Control Over AI(Plenary) In the rush to deliver value-added models to the business, sometimes AI & analytics data projects arrive poorly tested or are incompatible with the production environment. IT managers complain they cannot properly monitor them and business people aren’t informed of issues before getting impacted. All of this destroys trust and increases the risk of exposing your business to operational, reputational, and legal hazards calling for tighter controls. In this session, James will deep dive how to safely scale and implement controls while still empowering data science teams to continue delivering business value.
- The Future is Enterprise Automation: Delivering Inspiration & Transformation(Plenary) In this post-covid world, enterprises are adopting automation with increased urgency. According to research SnapLogic conducted earlier this year, together with our research partner Vanson Bourne , the average organisation has more than 115 distinct cloud applications in use at any one time. Many more for larger enterprises! And, a huge concern, nearly half of them (495) are disconnected from one another. 89% of the IT decisions makers we surveyed said they are worried data silos are holding their organisation back. Regardless of the technology that is ultimately deployed, and regardless of the technology vendor that is chosen, there are three things companies want…. 1. Transformation that delivers products & services to market faster 2. Provide better customer experiences 3. Achieve amazing business results Enterprise Automation helps companies achieve these three main objectives (above) and ultimately deliver two main benefits: an increase in business agility and more empowered users. Both of which lead to improved business results, and ultimately support companies in delivering their objectives.
- Morning Tea & Networking Break(Plenary)
- Making Real-Time, Granular Data and Analytics available Across Your Organisation, your Business Ecosystem and Beyond(Plenary) Data is now rightly perceived as a business asset. The use case for sharing data within an organisation has always been clear, but the next phase is really revolutionising how we share data with those on the outside. The timeliness and quality of that data is critical. Not only do we need streamlined, secure real-time data pipelines, both internal and external to your organisation, but also, the ability to provide real-time embedded analytics into operational applications and business portals. Join this session to hear: That real-time data pipelines are the foundation building block for businesses today How using RPA, ML & AI can improve data quality, contain costs, and maintain the timeliness of data delivery Why Embedded Analytics is becoming more pervasive and necessary in creating certainty in an uncertain business eco system both now and into the future The argument for a flexible open end-to-end data integration and analytics platform
- Utilising Business Analytics and Visualisation to Support Decision Making(Plenary) Business analytics is a key role in helping organisations to reduce risks. By using the right data and analytics we can help make the right decisions in a company from trends, customer preferences, what is working and what isn't. When used correctly not only does it help a business in the short term but also in long-term risk and finally helps get all the board on the same page. Join this session as we discuss: How to leverage business analytics and visualisation for enhanced decision support Techniques for visualising big data in fast paced environment Applications of analytics visualisation for better performance management
- A Business-First Approach to Building Data Governance Programs(Plenary) Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves data management and governance leaders having to continually make the case for data governance to secure business adoption. In this presentation, Sam will share a lean, business-first data governance approach that connects key initiatives to governance capabilities and quickly delivers business value for the long-term.
- Embarking on a Data-Lead Culture(Plenary) Join this session to uncover how the National Heart Foundation have created a data driven culture and hear more about where they’re headed next in their data journey.
- Lunch & Networking Break(Plenary)
- Better Data, Better Decisions- Ataccama(Plenary) In this session we will help you to understand how you can achieve data integrity by ensuring the accuracy, consistency and context of your data. This means you can make better, faster, more confident decisions based on a deeper understanding of data you can trust. Join us to gain insights into: The complex data landscape, what data assets should be prioritised for data quality projects. How to get going no matter where you are on your data quality journey. What matters most - building long term success in data management.
- Using a Data Clean Room for Business Growth(Plenary) Sharing data while adhering to privacy regulations has always been challenging. But by using distributed data clean rooms, it’s now possible to collaborate with data in a secure manner that aligns with privacy rules. The capabilities of distributed data clean rooms are especially beneficial to advertisers and the media industry as we continue moving to a cookieless future. Data clean rooms allow organizations to manage data effectively, deidentify it, and share it. Let’s explore what a data clean room is and how it works, the benefits you can experience with a data clean room, and how today’s companies use data clean rooms for business growth.
- Building Model Deployment Pipelines that Ensure Regulatory Compliance(Plenary) The key challenge to organisations is not just to build models that give answers to problems but to deploy and manage hundreds of such models simultaneously. There are 4 main stages of a deployment pipeline; version, testing, independent deployment and finally production deployment. Now remember depening on how all of the stages go... Not all models should be deployed. In this session we will cover: How to create a model deployment pipelines whilst keeping it simple, How to scale on the available technology stack Maintaining models such that they are always explainable to customers “Regulations as code” framework can remove the risk of future litigation if the “wrong” model were to affect customers.
- Data Mesh: Scalable Analytical Data Management(Plenary) As every organisation’s data landscape continues to advance and evolve, so too must its approach to analytical data. In this presentation, we look at the data mesh approach, focusing on its core concepts of: Domain ownership Data-as-a-product Self-service infrastructure Federated governance
- Afternoon Tea & Networking Break(Plenary)
- Uncovering the Business Value of Data Intelligence(Plenary) Data intelligence is the foundation of modern self-service analytics, growing a data culture, and driving data literacy. But how do you measure success? Is there a data culture ROI? And how do you communicate that value to business stakeholders? Alation has developed a metric framework and value measurement process to answer these questions. It combines catalog usage statistics with an organisation's supplied assumptions to quantify value along several dimensions. During this session we will introduce this approach and review a series of real examples. Attendees can expect to learn: How to define a value metric framework The dependency between key use cases & their value How to extend the measurement to specific business outcomes (and convey their value to c-suite!)
- Less is MORE(Plenary) In the rapidly evolving world of technology and data, establishing an effective data and analytics team could cost an arm and a leg and much more. Unless you are a big enterprise many businesses may not be able to afford the state of the art tech and cloud set ups with every tool that is out there because your techie says they ‘Absolutely NEED’ it. What I will cover here are some simple tips and tricks to keep under control your unit cost and achieve sustainable growth and higher speed to delivery. Join this session to learn: Build It! - Invest in the foundational build Scale It! - Continuous improvement Sustain it! - Set up a CoE that provides guardrails to the teams
- Globalisation of Data and How Regional Differences Impact Progress(Plenary) Data residency challenges means teams are working in different regions and data cannot be accessed remotely. Business regions and even business units have differing priorities on what should be done in what order. What are some of the interesting uses of data in the Specsavers estate that are being developed? Join us as Julian shares his insights and his views on data globalisation. 1. Disciplined code control and devops automation has provided significant benefits and continues to do this 2. Small steps. The investment is not insufficient so start with an achievable target and get it live to realise the benefits 3. If you don’t have the expertise, invest in the expertise and train your team continually.
Speakers
William Yeoh · Deputy Director, Deakin University Associate Professor, Deakin University. Dr William Yeoh is an associate professor at Deakin University’s Department of Information Systems and Business Analytics. He is also the deputy director for business and technology research theme at Deakin Business School. His current research interests include business analytics, AI, blockchain, etc. His research has been supported by various grant bodies and has appeared in top-tier journals and top conferences. He is the Editor-in-Chief Emeritus of the International Journal of Business Intelligence Research. He has received several awards for teaching, research and service activities, including the ICT Educator of the Year Gold Award (awarded by the Australian Computer Society ACS), internationally-competitive IBM Faculty Awards, Deakin’s Vice-Chancellor Award for Value Innovation (in recognition of his leadership for Deakin's IBM Centre of Excellence in Business Analytics), and Deakin Faculty Excellence in Research Award. In 2020, he was named among the Top 25 Analytics Leaders in Australia (by the Institute of Analytics Professionals of Australia).
Mukti Prabhu · General Manager Data Reporting & analytics, Telstra A seasoned digital leader with extensive delivery, consulting and leadership experience, in industries such as banking,telecom and retail, in Asia, Americas and Australia. Strategic thinker and engaging communicator with a strong ability to influence and manage stakeholders at C suite and Executive level. Track record of leading sustainable change in diverse and complex workplace cultures. Strong commercial acumen and ability to manage budgets and P&L targets. Diverse experience leading cross-functional Agile DevOps teams. Expert at setting up new capability and operational risk and incident management and manage third party partners to achieve strategic outcomes. Strong grasp on leading technology trends and approachable and authentic management styles mean outstanding team engagement results from pulse survey with 100% likelihood to recommend leader rating consistently.
Gareth Kennedy · Director, Deloitte Australia A creative data all-rounder bringing business value through model deployment and ensuring ethical AI using "regulations as code". Originally an astrophysicist in Spain, China and Australia Gareth has a deep technical background with over a decade’s experience in cutting edge predictive analytics, mathematics, machine learning, statistical analysis, and high-performance computing. He has consulted and led data science and engineering teams to deliver scalable projects for large enterprises as well as academia, start-ups, and mid-sized companies. Including leading the data engineering team at Australia Post during the Covid-19 crisis which served the central data science and build commercial data products.
Benedict Benoit · Area Vice President, APAC, Collibra With strong leadership skills and a track record of driving company success, I have over 14 years of customer facing experience across four continents (North America, Asia, Oceania and Europe). My experience across various industries and locations enables me to add value at every level of the organisation. I follow a data driven approach and utilise my in-depth knowledge of products and markets as well as my excellent customer service and communication skills to achieve desired outcomes. Currently, as Area Vice President at Collibra (a SaaS data governance company and the first Belgian Unicorn), I oversee and direct the sales department, whilst collaborating cross-functionally, to consistently exceed high growth sales targets and expand the Collibra brand across the APAC region.
Evan Hodge · Co-Founder and Technical Team Leader, Integrated Business Technologies Pty Ltd Evan is an IBT Founding Director and Technical Team Leader/ Data Pipeline & Analytics Subject Matter Expert across all three IBT practices – Qlik Data Integration and Analytics, Oracle NetSuite Cloud ERP and PeopleSoft HCM (Human capital management) and FSCM (Finance and supply chain management). For over 30 years, Evan has worked with many of A/NZ’s largest public and private companies and organisations on complex and high-profile ERP and BI projects. He has experience across various industry sectors including government, financial services, insurance, energy, health, and wholesale distribution. With a background in ERP, Data Warehousing and Data Integration, Evan and IBT’s Qlik team have been reselling, implementing, and supporting Qlik QDI tools since 2014. Evan was inspired to add Qlik tools to IBT’s solution portfolio after using them to solve IBT’s own real time data challenges. He especially found the change data capture (CDC) aspect a much more efficient, real-world way of dealing with very large dynamic datasets. These tools have now evolved to create Real-time Data Pipelines and combined with RPA (Robotic Process Automation), ML (Machine Learning) & AI (Artificial Intelligence) to be Intelligent or Smart Data Pipelines. These can improve data quality, reduce operating costs, increase productivity and automatically trigger actions from the data.
Anthony Schneider · Senior Sales Engineer, Snowflake Anthony is an experienced Data Warehouse Architect / Lead Data Engineer and is passionate about Big Data and large scale data warehousing.Alex Hopkins · Head of Data and Analytics, Jetstar Experienced data & analytics leader with broad global experience guiding technical and business focused teams in the delivery of innovative data-driven solutions. Sold, managed and delivered data roadmaps & transformations, SaaS and consulting engagements powered by 1st, 2nd and 3rd party data in Europe, Asia-Pacific and the Americas. Recognised as a thought-leader and exceptional communicator with the ability to think outside the box and solve complex, mission-critical challenges.
Esther Lim · Sales Engineering Manager, Precisely Esther Lim has been helping clients clean and govern their data for the last 8 years – oh the things she has seen! Before that she worked as a consultant implementing large enterprise projects for the Oil & Gas and Financial Services industry. During this time she has come to realise that when it comes to data quality, there is no such thing as a finished product.
David Normandeau · Sr. Director Sales Financial Services, Precisely David Normandeau is a Director of Sales for Precisely. Dave is in his fourteenth year with Precisely having held various roles in software sales, business development, and technology alliances. In January he relocated from Boston to Brisbane to lead sales of the Precisely Data Integrity Suite to Banking & Financial Services accounts in Australia & New Zealand.
James Orton · Data Science Implementation Manager, Dataiku James Orton leads the customer team in Australia and New Zealand for Dataiku. Dataiku is the world's leading platform for Everyday AI, systemizing the use of data for exceptional business results. The customer team purpose is to guide organisations to tangible success on Dataiku. James has personally helped multiple ASX200 companies navigate this journey. Training, coaching and supporting customers on varying use cases and differing tech stacks. Guiding data science and analytics teams on machine learning operations, capability models and AI governance. James is also passionate about the ethical use of AI in today's society. Away from the computer, James is also a keen cyclist and has been trying to predict the winner of Paris-Roubaix for the last ten years (with mixed success).Julian Mcall · Head of Technical Services, Specsavers A transformational leader and technologist, with a passion for continuous improvement. Able to define and articulate technical strategy and align teams to deliver. Able to balance the strategic vision with pragmatic, tactical realities. A history of building and structuring development teams to align with business and technical strategy. A track record in designing and delivering functional, maintainable solutions that exceed business expectations. Experienced with engaging, selecting and managing technology vendors and consultants.
Jessica Davies · Data Lead, Heart Foundation Jessica is passionate about helping organisations make efficient and purposeful use of the data that they collect to inform decision making. With bachelor degrees in computer science and spatial information, and a PhD that combined these two areas, she has consulted and worked across government, transport, utility and sporting domains to help them solve business challenges with data. She is currently leading the Data and Insights Teams at the National Heart Foundation of Australia raising the level of data literacy and championing data governance across the organisation.
Jason Smith · Senior Partner Manager APAC, Domo Experienced Senior Sales Manager with a demonstrated history of working in the Sport, Finance and Software industry. Skilled in Business Planning, Sales, Management, Organizational Development, and Athletics. Strong business development professional with strong networks in the industries of experience.John Cazanis · Enterprise Account Executive, SnapLogic John Cazanis has two decades of professional experience in empowering organisations with enabling technologies to address operational and strategic initiatives through interoperability. He has worked across a broad range of industries and led sales teams at Mulesoft / Salesforce and IBM. John Cazanis joined SnapLogic to lead enterprise sales for the APAC region. As part of the SnapLogic team, John works with customers to achieve positive business outcomes through collaboration and automation to create connected experiences faster.
Ben Goreux · Sales Director, Talend Ben is a Sales Director with 20+ years’ experience in Big Data, Advanced Analytics, Data Cloud Services. He worked in different countries in Europe and has been leading businesses in Australia and New Zealand for the last ten years. Ben joined Talend early 2021 as Regional Director.
Eugene DOZORTSEV · Head of Enterprise BI, Data and Analytics, Tabcorp Before leading the Enterprise Data, BI and Analytics function to transform Tabcorp into an insights driven organisation, Eugene spent his career building and delivering excellence in data and business intelligence for companies including Toll Group, Telstra and Sensis.
Partners
- Talend Talend, the leading data integration and data integrity company, enables every business to find clarity amidst the data chaos. Talend is the only company to bring together in a single platform all the necessary capabilities that ensure enterprise data is complete, clean, compliant, and readily available to everyone who needs it throughout the organization. Businesses rely on Talend to deliver exceptional customer experiences, make smarter decisions in the moment, drive innovation, improve operations, and thrive in a future they can’t yet see.
- Dataiku Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. Customers like Unilever, GE, and Comcast use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
- Snowflake Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.
- Alation Alation is the leader in enterprise data intelligence solutions including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 330 enterprises drive data culture, improve decision making, and realize business outcomes with Alation including AbbVie, American Family Insurance, Cisco, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, New Balance, Parexel, Pfizer, US Foods, and Vistaprint. Headquartered in Silicon Valley, Alation was named to Inc. Magazine’s Best Workplaces list and is backed by leading venture capitalists including Blackstone, Costanoa, Data Collective, Dell Technologies, Icon, ISAI Cap, Riverwood, Salesforce, Sanabil, Sapphire, and Snowflake Ventures. For more information, visit alation.com.
- Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 97 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.
- Ataccama Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data. Learn more at www.ataccama.com
- IBT Integrated Business Technologies (IBT), founded in 1997, is Australia’s #1 Elite Qlik Data Integration and Management (QDI) Partner. IBT’s customers are typically looking for a simpler, real-time solution for their data integration and management needs. We especially assist customers who are struggling with large volumes of data and an inability to turn that data into ongoing business value due to gaps in leaky and unintegrated data pipelines. Be analytics-ready in a flash! In just a few clicks, we help IT professionals bring together data from multiple sources in real time to provide a complete, accurate, and up-to-date dataset for BI, data analysis and other applications and business processes. Qlik’s platform liberates users from relying on embedded DBMS or cloud vendor tools and manual ETL coding to implement data integration tasks. Qlik’s end to end QDI platform and IBT’s services facilitate the automation of real-time intelligent data pipelines to data warehouses, data lakes or streaming platforms. The platform is unified, source agnostic (any database and cloud) and connects to the market’s largest number of endpoints (45+) – even mainframe!
- Domo Domo’s mission is to help all employees – from the CEO to the front-line worker – optimise business performance by connecting them in real time to the right data and people they need to improve business results. The company works with many of the world’s leading and most progressive brands across multiple industries including retail, media and entertainment, manufacturing, finance and more. For more information, visit www.domo.com. You can also follow Domo on Twitter, Facebook, LinkedIn, Google+, and Instagram.
- Collibra Collibra is the Data Intelligence company. We accelerate trusted business outcomes by connecting the right data, insights and algorithms to all Data Citizens. Our cloud-based platform connects IT and the business to build a data-driven culture for the digital enterprise. Global organizations choose Collibra to unlock the value of their data and turn it into a strategic, competitive asset. We have a diverse global footprint, with offices in the U.S., Belgium, Australia, Czech Republic, France, Poland and the U.K. Visit our website at Collibra.com
SnapLogic
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