The Chief Data Officer and Chief Analytics Officer role is rapidly becoming fundamental to modern day business. During conference day one our speaker faculty tackle how the CDAO role is transforming organisations as they are tasked with driving the data agenda in their enterprise, as well as being able to demonstrate real time value through the use of analytics and innovation.
POLLING Keynote Presentation: The Chief Data & Analytics Officer Role: Reinventing the Role to Meet Business Needs
• Where does the CDO/CAO role fit, and is this working? What are the current reporting lines? Does this differ by industry? • Is the role agile enough in its current state to keep up with ever-changing business needs and requirements? • Discussing the ways in which the CDAO can help influence how others think… Read more.Speaking
• Will the Cloud deliver a leap in delivering value to the organisation, if so how? • Successful case study demonstration in how the move to the cloud has been successful. • Demonstration of the first three steps to make in this move, and what is to be avoided. • What other technologies and platforms… Read more.Speaking
Panel Discussion: GDPR Post-Implementation: How is GDPR Shaping Your Overall Regulatory Strategy in Post-May 25th?
• How does this new data structure fit along with existing regulation? • How has your data strategy differed post-GDPR implementation? • Responding to high profile GDPR news post implementation.Speaking
• What is the typical road to becoming a Chief Analytics Office or Chief Data Officer, is there one? • What should the reporting structure look like for these roles? What is working effectively? • What key strategies do you need to employ to drive engagement with the wider business, whilst also fostering an inclusive,… Read more.Speaking
Keynote Presentation: In Data We Trust? Rising to the Challenge of Privacy, Protection, and Security
• As customers become increasingly aware of, and concerned by, their data and its usage, what steps should we be taking to ensure that we retain public trust in our ability to steward their information? • Trust-as-a-Service – building privacy into everything we do • What impact has GDPR had on the data industry, and… Read more.Speaking
• Is there a need for a dedicated function or should data and analytics be embedded throughout the business? • What are the real practical differences between embedded teams versus. dedicated centralised teams. • Is there a one size fits all approach or should this be tailored for each company? If so, which factors dictate… Read more.Speaking
Three 45-minute Discussion Groups running concurrently, hosted by 1-4 expert chairs. These informal discussions encourage everyone to participate and ask the questions they want the answers to. CDAO delegates may attend any session. Choose your room and contribute.
Discussion Group Session 1
Discussion Group 1A: Establishing the Most Effective Data-Driven Culture and Communicating Your Strategy Company Wide
• Understanding the key steps in establishing a data-driven culture. • Exploiting the benefits of the data- driven approach. • Should the data-driven culture be delivered from a top down approach? If so, how can bottom-up buy-in be accomplished? • Speaking in a language that works for the whole organisation. Effectively translating your communication strategy… Read more.
Discussion Group 1B: Data Science Versus Data Engineering – Striking the Right Skills Balance within your Team
• What is the difference between Data Engineers and Data Scientists, and what should they each be doing within your function? • Stop hunting for Unicorns that don’t exist! How to successfully split the workload between Engineers & Scientists and reap the rewards of utilizing complementary skills sets. • Don’t feed your models rubbish –… Read more.
Discussion Group Session 2
• Establishing an effective framework to employ predictive analytic techniques. • Gaining c-level buy-in and financial sponsorship for your predictive analytics projects – how do you build an effective business case? • The value comes from insights if they have implementable outcomes – predictive vs. prescriptive analytics.
• Understanding the traits that are unique in successful teams and looking to replicate them when building your own team • Setting up your team structure to highlight the positive attributes, planning the structure both for now and future growth • Placing a huge emphasis on data quality to support this team.
What is commercial analytics? Defining commercial analytics How to utilize commercial analytics to create actionable insights Effectively rolling out/deploying the solution internally Establishing effective measures of successSpeaking
Keynote Presentation: Cognitive Technology Development and Adoption – Keeping up with the Rapid Pace of Change, from AI, ML to DL What is Next?
• Discussing strategies for keeping current in a technological environment which is rapidly changing and developing. How do you determine what technology to invest in, and how can you stay current without tones of investment? • Bleeding edge technology – Where is the optimal point to be on the technology adoption curve? And how do… Read more.Speaking
Masterclass A: The Basic Human Needs System: Connecting Data and Customer Needs to Create Exciting Service Experiences
All data is created by behaviour – and behaviour is driven by human needs. While data correlation helps you to predict customer behaviour in similar settings, the understanding of customer needs enables the creation of innovative products and services. Guido has 25 years of experience as an Economic Psychologist working for companies like Daimler and… Read more.Speaking
As the sell out masterclass at this year’s CDAO UK, Caroline and Peter return to deliver the masterclass in Frankfurt. Caroline and Peter have both a huge wealth of experience and have recently worked together to write their book: ‘The Chief Data Officer’s Playbook’. In this Masterclass, Caroline and Peter will explore the highlights from… Read more.Speaking