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Chief Data & Analytics Officers, Europe

29-30 September 2020 | Amsterdam

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Day 1
29th September
08:00

Registration & Networking in the Exhibition Area

Registration & Networking in the Exhibition Area

September 29 | 08:00 - 08:45

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

September 29 | 08:45 - 09:00

Speaking:

09:00

Keynote Presentation: Empowering the Data Science Team in Order to Deliver Value

  • Encouraging the data science team to be proactive in suggesting solutions
  • Creating a two-way education system between data science & the rest of the business
  • Challenging staff to focus on the issues that matter
  • Strengthening decision-making with quantifiable, data-driven science

Keynote Presentation: Empowering the Data Science Team in Order to Deliver Value

September 29 | 09:00 - 09:25

  • Encouraging the data science team to be proactive in suggesting solutions
  • Creating a two-way education system between data science & the rest of the business
  • Challenging staff to focus on the issues that matter
  • Strengthening decision-making with quantifiable, data-driven science

Speaking:

09:25

Keynote Presentation: Creating Underlying Data Models to Help Deliver Value

  • Creating models to assist with data & analytics implementation
  • Utilising ownership: ensuring that there are effective data models for ‘citizen data scientists’
  • Progressing through evolution rather than revolution in taking ownership & capitalising on data models

Keynote Presentation: Creating Underlying Data Models to Help Deliver Value

September 29 | 09:25 - 09:50

  • Creating models to assist with data & analytics implementation
  • Utilising ownership: ensuring that there are effective data models for ‘citizen data scientists’
  • Progressing through evolution rather than revolution in taking ownership & capitalising on data models

Speaking:

09:50

Keynote Presentation: How to Work Closely With the IT Department on Harmonisation Projects

  • Establishing effective harmonisation projects between Data & IT
  • How to reduce conflict between enterprise organisation goals and local operations
  • Catering to business requirements with great working relationships between departments
  • Ensuring a two-way communication in the implementation of AI & machine learning

Keynote Presentation: How to Work Closely With the IT Department on Harmonisation Projects

September 29 | 09:50 - 10:15

  • Establishing effective harmonisation projects between Data & IT
  • How to reduce conflict between enterprise organisation goals and local operations
  • Catering to business requirements with great working relationships between departments
  • Ensuring a two-way communication in the implementation of AI & machine learning

Speaking:

10:15

Panel Discussion: ‘Citizen Data Scientist’ - the Future of Data Insights in the Industry or Just Another Business Buzzword?

  • What should the role of a citizen data scientist be within the organisation?
  • How can their roles be kept distinct from fully trained data scientists?
  • Are they a useful bridge between data & analytics and other areas of the business?
  • Who should be responsible for implementing the insights that citizen data scientist produce?
  • Are citizen data scientist a plausible way to deal with the skills gap? Can this be assisted by automated machine learning?

Panel Discussion: ‘Citizen Data Scientist’ - the Future of Data Insights in the Industry or Just Another Business Buzzword?

September 29 | 10:15 - 10:50

  • What should the role of a citizen data scientist be within the organisation?
  • How can their roles be kept distinct from fully trained data scientists?
  • Are they a useful bridge between data & analytics and other areas of the business?
  • Who should be responsible for implementing the insights that citizen data scientist produce?
  • Are citizen data scientist a plausible way to deal with the skills gap? Can this be assisted by automated machine learning?

Speaking:

10:50

Mid-Morning Coffee Break & Networking

Mid-Morning Coffee Break & Networking

September 29 | 10:50 - 11:20

Speaking:

11:20

Keynote Presentation: Capitalising on Data Literacy to Turn Data into Better Business Intelligence

  • Why is it that organisations that are high in data literacy are further ahead compared to other organisations?
  • Ensuring effective communication to portray to ‘whys’, as well as the ‘whats’ and ‘hows’
  • Adopting data literacy as a new strategy to be woven into the culture
  • How can the efficacy of the programme can be measured?
  • Ensuring setbacks are viewed as learning opportunities

Keynote Presentation: Capitalising on Data Literacy to Turn Data into Better Business Intelligence

September 29 | 11:20 - 11:45

  • Why is it that organisations that are high in data literacy are further ahead compared to other organisations?
  • Ensuring effective communication to portray to ‘whys’, as well as the ‘whats’ and ‘hows’
  • Adopting data literacy as a new strategy to be woven into the culture
  • How can the efficacy of the programme can be measured?
  • Ensuring setbacks are viewed as learning opportunities

Speaking:

11:45

Keynote Presentation: Practical Implementation of Marketing Intelligence

  • Understanding the evolving priorities of buyers to succeed in the digital era
  • Taking advantage of alternative and qualitative data sources for NLP, sentiment analysis etc
  • Prioritising data maintenance throughout the process in an area where data changes so rapidly
  • Leveraging marketing intelligence for multi-channel targeting

Keynote Presentation: Practical Implementation of Marketing Intelligence

September 29 | 11:45 - 12:10

  • Understanding the evolving priorities of buyers to succeed in the digital era
  • Taking advantage of alternative and qualitative data sources for NLP, sentiment analysis etc
  • Prioritising data maintenance throughout the process in an area where data changes so rapidly
  • Leveraging marketing intelligence for multi-channel targeting

Speaking:

12:10

Panel Discussion: How do Data & Analytics Leaders Need to Adapt to Succeed in Today’s Economy?

  • With data democratisation and citizen data scientists, there are increasingly blurred lines around tech leadership: What skills will a CDAO need in order to thrive?
  • How can we ensure that the team is in constant revenue-generation mode in an uncertain economic climate?
  • What should the key roles & responsibilities of a data & analytics team be?
  • How can this be kept distinct from the rest of the business?
  • How should data & analytics representation at Board level be evolving?

Panel Discussion: How do Data & Analytics Leaders Need to Adapt to Succeed in Today’s Economy?

September 29 | 12:10 - 12:45

  • With data democratisation and citizen data scientists, there are increasingly blurred lines around tech leadership: What skills will a CDAO need in order to thrive?
  • How can we ensure that the team is in constant revenue-generation mode in an uncertain economic climate?
  • What should the key roles & responsibilities of a data & analytics team be?
  • How can this be kept distinct from the rest of the business?
  • How should data & analytics representation at Board level be evolving?

Speaking:

12:45

Lunch & Networking in the Exhibition Area

Lunch & Networking in the Exhibition Area

September 29 | 12:45 - 13:45

Speaking:

1:45

Discussion Group 1A: What Long-Terms Solutions are There to the Skills Shortage?

  • What approaches can be used to ensure that the necessary skills are present throughout the team?
  • How far is it possible to upskill current team members to the data department?

Discussion Group 1A: What Long-Terms Solutions are There to the Skills Shortage?

September 29 | 13:45 - 14:30

  • What approaches can be used to ensure that the necessary skills are present throughout the team?
  • How far is it possible to upskill current team members to the data department?

Speaking:

1:45

Discussion Group 1B: Exploring the Impact of AI, ML, and Related Emerging Technology

  • How have emerging technologies changed the way that data & analytics operate?
  • Is the key to implementation having the correct infrastructure and appropriate education?

Discussion Group 1B: Exploring the Impact of AI, ML, and Related Emerging Technology

September 29 | 13:45 - 14:30

  • How have emerging technologies changed the way that data & analytics operate?
  • Is the key to implementation having the correct infrastructure and appropriate education?

Speaking:

1:45

Discussion Group 1C: Moving the Role of the CDAO from Translator to Educator

  • The role of the CDAO used to be translating data for the business: has this shifted towards educating the business to use data?
  • The most effective methods in change management to utilise data

Discussion Group 1C: Moving the Role of the CDAO from Translator to Educator

September 29 | 13:45 - 14:30

  • The role of the CDAO used to be translating data for the business: has this shifted towards educating the business to use data?
  • The most effective methods in change management to utilise data

Speaking:

2:30

Discussion Group 2A: Aligning Data Strategy with Organisational Objectives

  • Applying innovation strategy into business objectives
  • Using data analytics to uncover insights-driven use cases that can be used to solve critical business problems

Discussion Group 2A: Aligning Data Strategy with Organisational Objectives

September 29 | 14:30 - 15:15

  • Applying innovation strategy into business objectives
  • Using data analytics to uncover insights-driven use cases that can be used to solve critical business problems

Speaking:

2:30

Discussion Group 2B: Key Challenges and Opportunities in Migrating to the Cloud

  • Ensuring that people, processes & technology have the systems in place to change & adapt
  • Connecting legacy systems with Cloud applications & selecting the right platforms

Discussion Group 2B: Key Challenges and Opportunities in Migrating to the Cloud

September 29 | 14:30 - 15:15

  • Ensuring that people, processes & technology have the systems in place to change & adapt
  • Connecting legacy systems with Cloud applications & selecting the right platforms

Speaking:

2:30

Discussion Group 2C: Implementing a Data Strategy That Allows for Learning & Adaptation

  • Allowing for adaptation to changing business priorities in the implementation of new technologies
  • Ensuring an effective development programme for data scientists

Discussion Group 2C: Implementing a Data Strategy That Allows for Learning & Adaptation

September 29 | 14:30 - 15:15

  • Allowing for adaptation to changing business priorities in the implementation of new technologies
  • Ensuring an effective development programme for data scientists

Speaking:

3:15

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

September 29 | 15:15 - 15:45

Speaking:

3:45

Keynote Presentation: Implementing Global Master Data Management as a Facilitator of Growth

  • Utilising Master Data Management as a tool in data governance programmes
  • Overcoming data siloes and multiple versions of data
  • Master Data Management as a core facilitator of Digital Transformation
  • Overcoming challenges on common Master Standards to harness the benefits of Master Data Management

Keynote Presentation: Implementing Global Master Data Management as a Facilitator of Growth

September 29 | 15:45 - 16:10

  • Utilising Master Data Management as a tool in data governance programmes
  • Overcoming data siloes and multiple versions of data
  • Master Data Management as a core facilitator of Digital Transformation
  • Overcoming challenges on common Master Standards to harness the benefits of Master Data Management

Speaking:

4:10

Keynote Presentation: How Can We Fully Harness Data Governance in Order to Produce Accurate Forecasting & Insights?

  • Implementing ‘data governance by design’, rather than as an afterthought
  • Delivering high-quality data whilst also encouraging experimentation & innovation
  • The importance of data quality & governance to ‘Fair AI'
  • Is the most effective way of preventing irrelevant data ensuring that each department defines what data is needed and why?

Keynote Presentation: How Can We Fully Harness Data Governance in Order to Produce Accurate Forecasting & Insights?

September 29 | 16:10 - 16:35

  • Implementing ‘data governance by design’, rather than as an afterthought
  • Delivering high-quality data whilst also encouraging experimentation & innovation
  • The importance of data quality & governance to ‘Fair AI'
  • Is the most effective way of preventing irrelevant data ensuring that each department defines what data is needed and why?

Speaking:

4:35

Panel Discussion: Beyond Compliance – How Can We Look Beyond Data Compliance to Embed a Culture of Data Ethics?

  • Whilst it is important to understand how GDPR applies to data, is it possible to become too fixated on tick-box compliance?
  • There is more interpretability available with data ethics: how can we establish a framework for data ethics?
  • Communicating a message beyond just compliance to ethical usage of data throughout the organisation
  • As well as ensuring that customer data is accurate and relevant, avoiding a situation where customers feel as if they are under surveillance

Panel Discussion: Beyond Compliance – How Can We Look Beyond Data Compliance to Embed a Culture of Data Ethics?

September 29 | 16:35 - 17:10

  • Whilst it is important to understand how GDPR applies to data, is it possible to become too fixated on tick-box compliance?
  • There is more interpretability available with data ethics: how can we establish a framework for data ethics?
  • Communicating a message beyond just compliance to ethical usage of data throughout the organisation
  • As well as ensuring that customer data is accurate and relevant, avoiding a situation where customers feel as if they are under surveillance

Speaking:

5:10

Closing Remarks Day One

Closing Remarks Day One

September 29 | 17:10 - 17:20

Speaking:

5:20

Drinks Reception & Speaker Clinics in the Exhibition Area

Drinks Reception & Speaker Clinics in the Exhibition Area

September 29 | 17:20 - 18:20

Speaking:

6:20

End of Day One

End of Day One

September 29 | 18:20

Speaking:

Day 2
30th September
08:00

Registration & Networking in the Exhibition Area

Registration & Networking in the Exhibition Area

September 30 | 08:00 - 08:45

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

September 30 | 08:45 - 09:00

Speaking:

09:00

Keynote Presentation: Moving Past the Buzzwords – Frontline Implementations of AI & Machine Learning

  • How to identify where AI or machine learning can add value in your organisation
  • Ensure constant monitoring to assess whether it is delivering on its purposes
  • Creating a feedback loop to ensure accurate, ethical & quality information is being fed into the model
  • Conducting change management, particularly from employees who may fear they are being replaced

Keynote Presentation: Moving Past the Buzzwords – Frontline Implementations of AI & Machine Learning

September 30 | 09:00 - 09:25

  • How to identify where AI or machine learning can add value in your organisation
  • Ensure constant monitoring to assess whether it is delivering on its purposes
  • Creating a feedback loop to ensure accurate, ethical & quality information is being fed into the model
  • Conducting change management, particularly from employees who may fear they are being replaced

Speaking:

09:25

Keynote Presentation: Overcoming Challenges in Implementing a Data Lake

  • How to select the most effective mechanism for the data to flow from one repository to another in the least disruptive way
  • How do we ensure strong data architecture?
  • Having an effective data management and data governance process in place to avoid ‘data swamp’
  • Is taking an agile approach to data lake development the key to launch programmes quickly?

Keynote Presentation: Overcoming Challenges in Implementing a Data Lake

September 30 | 09:25 - 09:50

  • How to select the most effective mechanism for the data to flow from one repository to another in the least disruptive way
  • How do we ensure strong data architecture?
  • Having an effective data management and data governance process in place to avoid ‘data swamp’
  • Is taking an agile approach to data lake development the key to launch programmes quickly?

Speaking:

09:50

Keynote Presentation: How to Translate Data into a Better Customer Experience

  • Companies have huge amounts of customer data available to them, but how can this be monetised?
  • Overcoming data siloes to create a holistic view of the customer
  • Partnering with other departments to capitalise on initiatives such as marketing automation
  • Making relevant, personalised offerings without the ‘creepy factor’

Keynote Presentation: How to Translate Data into a Better Customer Experience

September 30 | 09:50 - 10:15

  • Companies have huge amounts of customer data available to them, but how can this be monetised?
  • Overcoming data siloes to create a holistic view of the customer
  • Partnering with other departments to capitalise on initiatives such as marketing automation
  • Making relevant, personalised offerings without the ‘creepy factor’

Speaking:

10:15

Panel Discussion: Taking Advantage of Analytics & Business Intelligence to Better Understand the Customer

  • Using advanced analytics & business intelligence to optimise pricing and make real-time recommendations
  • What change management techniques can be used to encourage the move from instinct to data-driven?
  • Know your customer: creating a feedback loop on new initiatives for consistent observations
  • Ensuring that customer data is acquired with alignment to strategy and does not go unused

Panel Discussion: Taking Advantage of Analytics & Business Intelligence to Better Understand the Customer

September 30 | 10:15 - 10:50

  • Using advanced analytics & business intelligence to optimise pricing and make real-time recommendations
  • What change management techniques can be used to encourage the move from instinct to data-driven?
  • Know your customer: creating a feedback loop on new initiatives for consistent observations
  • Ensuring that customer data is acquired with alignment to strategy and does not go unused

Speaking:

10:50

Mid-Morning Coffee in the Networking Area

Mid-Morning Coffee in the Networking Area

September 30 | 10:50 - 11:20

Speaking:

11:20

Keynote Presentation: Building Effective Data Ecosystems for Better Operational Efficiency

  • Scaling up systems in order to create better return on investment
  • Creating effective paths for interaction in order to demonstrate tangible results
  • Constructing a defined framework for data ownership
  • Optimisation issues: how can an enterprise optimise the interactions among separate components?

Keynote Presentation: Building Effective Data Ecosystems for Better Operational Efficiency

September 30 | 11:20 - 11:45

  • Scaling up systems in order to create better return on investment
  • Creating effective paths for interaction in order to demonstrate tangible results
  • Constructing a defined framework for data ownership
  • Optimisation issues: how can an enterprise optimise the interactions among separate components?

Speaking:

11:45

Keynote Presentation: Towards the Path to Data Monetisation

  • How to discover new sources of revenue through the analytics function
  • Getting the basics right before embarking, including data quality
  • Exploring alternative sources of data monetisation, including better organisational design and talent management practices
  • Gaining executive buy-in through demonstrating the way data insights are changing the nature of competition

Keynote Presentation: Towards the Path to Data Monetisation

September 30 | 11:45 - 12:10

  • How to discover new sources of revenue through the analytics function
  • Getting the basics right before embarking, including data quality
  • Exploring alternative sources of data monetisation, including better organisational design and talent management practices
  • Gaining executive buy-in through demonstrating the way data insights are changing the nature of competition

Speaking:

12:10

Panel Discussion: How Can We Help Employees Make the Shift From Working on Assumptions to Being Data-Driven?

  • Working with new technologies will optimise processes: how can we encourage employees to make the shift?
  • It starts with preparation: creating a structured plan for implementation · Creating consistent messaging through the different departments & processes involved
  • What are the best methods of integration & adaptation to new technology & infrastructure?

Panel Discussion: How Can We Help Employees Make the Shift From Working on Assumptions to Being Data-Driven?

September 30 | 12:10 - 12:45

  • Working with new technologies will optimise processes: how can we encourage employees to make the shift?
  • It starts with preparation: creating a structured plan for implementation · Creating consistent messaging through the different departments & processes involved
  • What are the best methods of integration & adaptation to new technology & infrastructure?

Speaking:

12:45

Lunch & Networking in the Exhibition Area

Lunch & Networking in the Exhibition Area

September 30 | 12:45 - 13:45

Speaking:

1:45

Discussion Group 3A: Gaining Maximum Value From Structured and Unstructured Data Through Machine Learning

  • What are the best methods of analysing machine learning insights?
  • Extracting meaning from unstructured data to supplement structured information

Discussion Group 3A: Gaining Maximum Value From Structured and Unstructured Data Through Machine Learning

September 30 | 13:45 - 14:30

  • What are the best methods of analysing machine learning insights?
  • Extracting meaning from unstructured data to supplement structured information

Speaking:

1:45

Discussion Group 3B: Capitalising on Analytics to Reduce Waste

  • Utilising data & analytics to cut costs & reduce waste
  • Working with departments to improve processes & efficiencies

Discussion Group 3B: Capitalising on Analytics to Reduce Waste

September 30 | 13:45 - 14:30

  • Utilising data & analytics to cut costs & reduce waste
  • Working with departments to improve processes & efficiencies

Speaking:

2:30

Discussion Group 4A: Data as a Facilitator of Digital Transformation

  • Leveraging the value of data to unlock new opportunities
  • Demonstrating data not just as a critical business asset but as the key to success to in an era of increasing competition

Discussion Group 4A: Data as a Facilitator of Digital Transformation

September 30 | 14:30 - 15:15

  • Leveraging the value of data to unlock new opportunities
  • Demonstrating data not just as a critical business asset but as the key to success to in an era of increasing competition

Speaking:

2:30

Discussion Group 4B: Planning for Continuous Learning & Adaptation in the Data Science Department

  • The data science landscape and business priorities: how can we ensure that the data department has the skills needed?
  • How can we prepare the team now to be the data scientists of the future – what adaptations will need to be made?

Discussion Group 4B: Planning for Continuous Learning & Adaptation in the Data Science Department

September 30 | 14:30 - 15:15

  • The data science landscape and business priorities: how can we ensure that the data department has the skills needed?
  • How can we prepare the team now to be the data scientists of the future – what adaptations will need to be made?

Speaking:

3:15

Afternoon Tea in the Exhibition Area

Afternoon Tea in the Exhibition Area

September 30 | 15:15 - 15:45

Speaking:

3:45

Keynote Presentation: Case Study – Building International Centres of Excellence for Data

  • Practical challenges in implementation and how these were overcome
  • Working with multinational teams to come up with solutions to diverse problems and business challenges
  • Creating a two-way conversation to solve problems and come up with new ways to optimise procedures
  • Partnering with business departments to explore use cases that differentiate its products and services

Keynote Presentation: Case Study – Building International Centres of Excellence for Data

September 30 | 15:45 - 16:10

  • Practical challenges in implementation and how these were overcome
  • Working with multinational teams to come up with solutions to diverse problems and business challenges
  • Creating a two-way conversation to solve problems and come up with new ways to optimise procedures
  • Partnering with business departments to explore use cases that differentiate its products and services

Speaking:

4:10

Keynote Presentation: Moving Towards Proactive Analytics in Business Intelligence

  • Utilising AI-powered business intelligence tools to deliver tailor-made insights
  • Ensuring that data is in manageable insights through effective data visualisation
  • AI as a tool to bridge the gap between data scientists and non-technical users of data
  • Pulling actionable insights from complex data insights and avoiding data overload

Keynote Presentation: Moving Towards Proactive Analytics in Business Intelligence

September 30 | 16:10 - 16:45

  • Utilising AI-powered business intelligence tools to deliver tailor-made insights
  • Ensuring that data is in manageable insights through effective data visualisation
  • AI as a tool to bridge the gap between data scientists and non-technical users of data
  • Pulling actionable insights from complex data insights and avoiding data overload

Speaking:

4:45

Panel Discussion: Leveraging Metadata to Improve Enterprise Data Quality & Empower Business Analytics

  • Metadata as a catalyst to enable users to automate data quality standards
  • Is customer metadata the key to both gaining a holistic view of the customer and monitoring data privacy?
  • How can we ensure that metadata is continually updated and monitoring trends are regularly refreshed to be as accurate as possible?
  • Combining metadata with advanced analytics techniques to tap into new insights and revenue streams

Panel Discussion: Leveraging Metadata to Improve Enterprise Data Quality & Empower Business Analytics

September 30 | 16:45 - 17:10

  • Metadata as a catalyst to enable users to automate data quality standards
  • Is customer metadata the key to both gaining a holistic view of the customer and monitoring data privacy?
  • How can we ensure that metadata is continually updated and monitoring trends are regularly refreshed to be as accurate as possible?
  • Combining metadata with advanced analytics techniques to tap into new insights and revenue streams

Speaking:

5:10

Chair's Closing Remarks

Chair's Closing Remarks

September 30 | 17:10 - 17:20

Speaking:

5:20

Close of Conference

Close of Conference

September 30 | 17:20

Speaking: