Agenda | Chief Data & Analytics Officers, Europe

Day 1
29th September
Day 2
30th September

Day 1
29th September

08:00

Registration & Networking in the Exhibition Area

September 29 | 08:00 - 08:45

Speaking:

08:45

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

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

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

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

September 29 | 17:10 - 17:20

Speaking:

5:20

Drinks Reception & Speaker Clinics in the Exhibition Area

September 29 | 17:20 - 18:20

Speaking:

6:20

End of Day One

September 29 | 18:20

Speaking:

Day 2
30th September

08:00

Registration & Networking in the Exhibition Area

September 30 | 08:00 - 08:45

Speaking:

08:45

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

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

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

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

September 30 | 17:10 - 17:20

Speaking:

5:20

Close of Conference

September 30 | 17:20