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Chief Data Analytics Officers, Fall

• Revolutionize Your Data Analytics Strategy • Drive Internal Transformation • Boost ROI •

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Financial Services Focus Day
November 18th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: From Foundation to Mastery - Building a Mature Analytics Roadmap

  • Building an evolving analytics roadmap in a data-mature industry
  • How to assess where your organization is on their data journey and how to create checkpoints that can evolve with your needs
  • Learn to create a roadmap that has flexibility to grow and mature as your organizational needs, technology, and customer expectations shift

Opening Keynote: From Foundation to Mastery - Building a Mature Analytics Roadmap

April 12 | 09:00 - 09:20

  • Building an evolving analytics roadmap in a data-mature industry
  • How to assess where your organization is on their data journey and how to create checkpoints that can evolve with your needs
  • Learn to create a roadmap that has flexibility to grow and mature as your organizational needs, technology, and customer expectations shift
Register

Speaking:

09:20

Presentation: Ensuring Data Quality and Lineage in Cloud Migration

  • Rethink your data quality strategy for the cloud era
  • The move to the cloud is an opportunity to ensure the quality and lineage of your data, as well implement automated governance models
  • Learn where cloud management is fundamentally different from traditional data ecosystems and how data and analytics leaders should address these differences
  • Explore best practices to optimize data as its migrated to ensure you are maximizing its potential
  • Build a collaborative framework for analytics users, data collection specialists, and the data governance team

Presentation: Ensuring Data Quality and Lineage in Cloud Migration

April 12 | 09:20 - 09:40

  • Rethink your data quality strategy for the cloud era
  • The move to the cloud is an opportunity to ensure the quality and lineage of your data, as well implement automated governance models
  • Learn where cloud management is fundamentally different from traditional data ecosystems and how data and analytics leaders should address these differences
  • Explore best practices to optimize data as its migrated to ensure you are maximizing its potential
  • Build a collaborative framework for analytics users, data collection specialists, and the data governance team
Register

Speaking:

09:40

Unlocking the True Calue of Your Data with Machine-Learning Augmented Data Catalogs

  • Bring together your data assets with a strong data catalog
  • Data lakes often lack strong metadata catalog capabilities leaving you blind to the true value of your data
  • Learn how a machine-learning enabled data catalog can help you find and act on data assets you may not have realised existed
  • Explore the pitfalls of metadata silos and how to ensure a successful company-wide implementation of data catalog systems

Unlocking the True Calue of Your Data with Machine-Learning Augmented Data Catalogs

April 12 | 09:40 - 10:10

  • Bring together your data assets with a strong data catalog
  • Data lakes often lack strong metadata catalog capabilities leaving you blind to the true value of your data
  • Learn how a machine-learning enabled data catalog can help you find and act on data assets you may not have realised existed
  • Explore the pitfalls of metadata silos and how to ensure a successful company-wide implementation of data catalog systems
Register

Speaking:

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

Register

Speaking:

10:40

Presentation: Building a Culture of Customer-Centric Analytics

  • Building strong metrics for data product teams based on customer-retention, loyalty, and satisfaction
  • An end to fishing – learn how to focus your team on the questions your customers are asking
  • Discover new data gathering techniques such as gamification and how they can be deployed for empathic and focused analytics functions
  • Hear how to create an atmosphere of partnership between your customers and analysts for more accurate results, greater trust in the data gathering process, and enhanced regulatory compliance

Presentation: Building a Culture of Customer-Centric Analytics

April 12 | 10:40 - 11:00

  • Building strong metrics for data product teams based on customer-retention, loyalty, and satisfaction
  • An end to fishing – learn how to focus your team on the questions your customers are asking
  • Discover new data gathering techniques such as gamification and how they can be deployed for empathic and focused analytics functions
  • Hear how to create an atmosphere of partnership between your customers and analysts for more accurate results, greater trust in the data gathering process, and enhanced regulatory compliance
Register

Speaking:

11:00

Insider Session: Analytics Driven Digital Transformation

  • Become a strategic digital transformation partner and unlock your consumer insights
  • Learn how to become a key partner to the product team by analysing what consumers actually want
  • Hear how you can help guide the digital transformation and end the guess work behind customer experience product roll-out
  • Understand how financial institutions are unlocking their customer’s data to go beyond CS and UX to create massive growth and increased loyalty

Insider Session: Analytics Driven Digital Transformation

April 12 | 11:00 - 11:30

  • Become a strategic digital transformation partner and unlock your consumer insights
  • Learn how to become a key partner to the product team by analysing what consumers actually want
  • Hear how you can help guide the digital transformation and end the guess work behind customer experience product roll-out
  • Understand how financial institutions are unlocking their customer’s data to go beyond CS and UX to create massive growth and increased loyalty
Register

Speaking:

11:30

Learning Lab: Enhance Your ROI with Data Monetization

Learning Lab: Enhance Your ROI with Data Monetization

April 12 | 11:30 - 12:30

Register

Speaking:

12:30

Lunch

Lunch

April 12 | 12:30 - 13:30

Register

Speaking:

1:30

Discussion Group: Are Our Regulatory Copliance Frameworks Robust and Flexible Enough for the Future of Data Privacy and Ownership?

Discussion Group: Are Our Regulatory Copliance Frameworks Robust and Flexible Enough for the Future of Data Privacy and Ownership?

April 12 | 13:30 - 14:15

Register

Speaking:

2:15

Discussion Group: How Can We Create Robust Data Ethics Frameworks that Don't Impete Data-Hungry Models?

Discussion Group: How Can We Create Robust Data Ethics Frameworks that Don't Impete Data-Hungry Models?

April 12 | 14:15 - 15:00

Register

Speaking:

3:00

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 15:00 - 15:30

Register

Speaking:

3:30

Afternoon Keynote: Educating Stakeholders on the Realistic Potential of AI in Specific Use Cases

  • Break through the hype surrounding AI techniques and manage business leader’s expectations
  • Build trust using explainable AI processes with realistic, positive results in risk management, identity detection & confirmation, fraud prevention and CX
  • Learn how to bring non-technical stakeholders into the analytics modelling and insights process for a greater level of trust and understanding
  • Get stakeholders to focus on the right questions for optimized insight output

Afternoon Keynote: Educating Stakeholders on the Realistic Potential of AI in Specific Use Cases

April 12 | 15:30 - 15:50

  • Break through the hype surrounding AI techniques and manage business leader’s expectations
  • Build trust using explainable AI processes with realistic, positive results in risk management, identity detection & confirmation, fraud prevention and CX
  • Learn how to bring non-technical stakeholders into the analytics modelling and insights process for a greater level of trust and understanding
  • Get stakeholders to focus on the right questions for optimized insight output
Register

Speaking:

3:50

Insider Session: Bank of America - Exploiting AI for Regulatory and Legal Compliance

Speaking:

Insider Session: Bank of America - Exploiting AI for Regulatory and Legal Compliance

April 12 | 15:50 - 16:20

Register

Speaking:

4:20

Happy Hour Roundtables

Enjoy a drink as you attend two in-depth round tables

Where Can Blockchain and Distributed Ledgers Be Leveraged for Improved, More Secure Analytics?

How Can We Reduce Bias in Our Algorithms to Remain Fair, Ethical and Compliant?

Preparing for Open Banking Regulations in the US

The Role of Analytics and AI in Financial Crime Investigation & Digital Identities

Happy Hour Roundtables

April 12 | 16:20 - 17:20

Enjoy a drink as you attend two in-depth round tables

Where Can Blockchain and Distributed Ledgers Be Leveraged for Improved, More Secure Analytics?

How Can We Reduce Bias in Our Algorithms to Remain Fair, Ethical and Compliant?

Preparing for Open Banking Regulations in the US

The Role of Analytics and AI in Financial Crime Investigation & Digital Identities

Register

Speaking:

5:20

Chair's Closing Remarks

Chair's Closing Remarks

April 12 | 17:20 - 17:30

Register

Speaking:

5:30

Networking Drinks

Networking Drinks

April 12 | 17:30 - 18:30

Register

Speaking:

Insurance Focus Day
November 18th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: Preparing Your Analytics Division for The IoT Revolution

  • Discover how to maximize IoT data across the insurance industry
  • Only 10% of analytics leaders in insurance believe they are ready for this seismic change – are you one of them?
  • Build an unprecedented level of insight to become a major disruptive force
  • Learn how to work with partners and regulators to provide an even greater level of personalized coverage without violating privacy regulations or ethical considerations
  • Discover which tools and platforms offer real long-term value to avoid being trapped in the hype cycle

Opening Keynote: Preparing Your Analytics Division for The IoT Revolution

April 12 | 09:00 - 09:20

  • Discover how to maximize IoT data across the insurance industry
  • Only 10% of analytics leaders in insurance believe they are ready for this seismic change – are you one of them?
  • Build an unprecedented level of insight to become a major disruptive force
  • Learn how to work with partners and regulators to provide an even greater level of personalized coverage without violating privacy regulations or ethical considerations
  • Discover which tools and platforms offer real long-term value to avoid being trapped in the hype cycle
Register

Speaking:

09:20

Presentation: Best Practices for Moving Insurance Analytics to the Cloud

  • Unlock the benefits and avoid the pitfalls of cloud transformation
  • Discover how you can leverage cloud technologies to take advantage of the new technology, data sources and augmented analytical techniques
  • Explore the best practices for migrating to the cloud and utilizing cloud analytics for a maximum ROI
  • Build a strategy to integrate your legacy systems into the cloud to ensure maximum utility from traditional technologies

Presentation: Best Practices for Moving Insurance Analytics to the Cloud

April 12 | 09:20 - 09:40

  • Unlock the benefits and avoid the pitfalls of cloud transformation
  • Discover how you can leverage cloud technologies to take advantage of the new technology, data sources and augmented analytical techniques
  • Explore the best practices for migrating to the cloud and utilizing cloud analytics for a maximum ROI
  • Build a strategy to integrate your legacy systems into the cloud to ensure maximum utility from traditional technologies
Register

Speaking:

09:40

Panel: Unlocking the Power of AI-Augmented Teams

  • Improve efficiency by deploying intelligent automation across your organization
  • Learn how to assess processes for inefficiencies and realize the potential of intelligent automation across the insurance process
  • Explore how AI allows processes to be automated beyond the repetitive tasks currently serviced by RPA
  • Build an Intelligent Automation (IA) roadmap to support underwriting, pricing, claims and beyond

Panel: Unlocking the Power of AI-Augmented Teams

April 12 | 09:40 - 10:10

  • Improve efficiency by deploying intelligent automation across your organization
  • Learn how to assess processes for inefficiencies and realize the potential of intelligent automation across the insurance process
  • Explore how AI allows processes to be automated beyond the repetitive tasks currently serviced by RPA
  • Build an Intelligent Automation (IA) roadmap to support underwriting, pricing, claims and beyond
Register

Speaking:

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

Register

Speaking:

10:40

Insider Session: Creating a Complete View of the Customer Journey for Increased Market Share and CLV

  • Unlock your customer data from social to IoT to build a complete customer journey and increase CLV
  • Learn how to unlock some of the most siloed data across your organization to gain a clear insight into who your customer is and what they want from their financial institution
  • Understand what to look for in data sharing agreements for a true “360” view of your customer
  • Work with your customers to rebuild trust in the data gathering and analytics process for maximum ROI

Insider Session: Creating a Complete View of the Customer Journey for Increased Market Share and CLV

April 12 | 10:40 - 11:10

  • Unlock your customer data from social to IoT to build a complete customer journey and increase CLV
  • Learn how to unlock some of the most siloed data across your organization to gain a clear insight into who your customer is and what they want from their financial institution
  • Understand what to look for in data sharing agreements for a true “360” view of your customer
  • Work with your customers to rebuild trust in the data gathering and analytics process for maximum ROI
Register

Speaking:

11:10

Presentation: Building a Culture of Collaboration Between Analytics, Data Science, and Actuary Leadership

    Foster a culture of collaboration to unlock the knowledge and experience of the chief actuary as a key business partner
  • Understand the Chief Actuary’s pain points for better pricing and underwriting tool adoption
  • Learn how to make the Chief Actuary a key data science partner for a greater understanding of feasibility and process
  • Explore how to create a two-way consultancy between analytics and actuary leadership

Presentation: Building a Culture of Collaboration Between Analytics, Data Science, and Actuary Leadership

April 12 | 11:10 - 11:30

    Foster a culture of collaboration to unlock the knowledge and experience of the chief actuary as a key business partner
  • Understand the Chief Actuary’s pain points for better pricing and underwriting tool adoption
  • Learn how to make the Chief Actuary a key data science partner for a greater understanding of feasibility and process
  • Explore how to create a two-way consultancy between analytics and actuary leadership
Register

Speaking:

11:30

Learning Lab: Building a Collaboration Roadmap Between Digital and Analytics Leadership

  • Build a closer collaboration between the Chief Analytics and Chief Digital Officer for increased adoption of digital tools
  • Learn how to create a collaborative roadmap where roles overlap to drive a digital roadmap with a high level of adoption and customer retention
  • Explore the common complications and clashes that arise when working together
  • Create a strategy that will see both teams maximized
  • In teams, create a collaborative plan based on clear, operationalized strategy that will provide a clear improvement to ROI

Learning Lab: Building a Collaboration Roadmap Between Digital and Analytics Leadership

April 12 | 11:30 - 12:30

  • Build a closer collaboration between the Chief Analytics and Chief Digital Officer for increased adoption of digital tools
  • Learn how to create a collaborative roadmap where roles overlap to drive a digital roadmap with a high level of adoption and customer retention
  • Explore the common complications and clashes that arise when working together
  • Create a strategy that will see both teams maximized
  • In teams, create a collaborative plan based on clear, operationalized strategy that will provide a clear improvement to ROI
Register

Speaking:

12:30

Lunch

Lunch

April 12 | 12:30 - 13:30

Register

Speaking:

1:30

Discussion Group: How Can we Tackle Algorithmic Bias for the Best Risk, Pricing and Regulatory Outcomes?

Discussion Group: How Can we Tackle Algorithmic Bias for the Best Risk, Pricing and Regulatory Outcomes?

April 12 | 13:30 - 14:15

Register

Speaking:

2:15

Discussion Group: How Can We Verify Data Lineage of First and Third Party Data to Ensure Its Use is Legal, Appropriate and Ethical

Discussion Group: How Can We Verify Data Lineage of First and Third Party Data to Ensure Its Use is Legal, Appropriate and Ethical

April 12 | 14:15 - 15:00

Register

Speaking:

3:00

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 15:00 - 15:30

Register

Speaking:

3:30

Afternoon Keynote: Building a Mature Roadmap in a Shifting Industry

  • Build a data analytics roadmap that adapts with your data, business and customer needs
  • Learn how to navigate technologies for data collection and analytics that are on the horizon
  • Explore what a roadmap looks like in an industry that has been using data and analytics for decades
  • Learn how MassMutual has adopted a forward looking process for continued success and market disruption

Afternoon Keynote: Building a Mature Roadmap in a Shifting Industry

April 12 | 15:30 - 15:50

  • Build a data analytics roadmap that adapts with your data, business and customer needs
  • Learn how to navigate technologies for data collection and analytics that are on the horizon
  • Explore what a roadmap looks like in an industry that has been using data and analytics for decades
  • Learn how MassMutual has adopted a forward looking process for continued success and market disruption
Register

Speaking:

3:50

Panel Discussion: Maximizing the Value of Your Structured and Unstructured Data with Data Catalogs

  • Improve insights by extracting value from unstructured data utilizing a machine learning augmented data catalog
  • Learn how to implement an effective data catalog
  • Avoid metadata silos using intelligent tools
  • Let the insights come to you with AI-augmentation
  • Explore the vendor market to maximize ROI

Panel Discussion: Maximizing the Value of Your Structured and Unstructured Data with Data Catalogs

April 12 | 15:50 - 16:20

  • Improve insights by extracting value from unstructured data utilizing a machine learning augmented data catalog
  • Learn how to implement an effective data catalog
  • Avoid metadata silos using intelligent tools
  • Let the insights come to you with AI-augmentation
  • Explore the vendor market to maximize ROI
Register

Speaking:

4:20

Happy Hour Roundtables

Enjoy a drink as you attend two in-depth round tables

Building a Cloud-Based Risk Model System

Ensuring Big Data Does not Become Big Brother

CAO, CDAO, CIO - Where Does Analytics Fit in Insurances Evolving C-Suite?

Building and Managing an Insurance Innovation Team

Happy Hour Roundtables

April 12 | 16:20 - 17:20

Enjoy a drink as you attend two in-depth round tables

Building a Cloud-Based Risk Model System

Ensuring Big Data Does not Become Big Brother

CAO, CDAO, CIO - Where Does Analytics Fit in Insurances Evolving C-Suite?

Building and Managing an Insurance Innovation Team

Register

Speaking:

5:20

Chair's Closing Remarks

Chair's Closing Remarks

April 12 | 17:20 - 17:30

Register

Speaking:

5:30

Networking Drinks

Networking Drinks

April 12 | 17:30 - 18:30

Register

Speaking:

Retail and CPG Focus Day
November 18th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: From Front of House to Back Office – Building a Two-Way Data and Analytics Flow to Drive Efficiency, Collaboration and Revenue

  • Create a central analytics division is essential to unlock the true value in our data
  • By building a flexible end-to-end analytics vision, we can react to consumer trends in real-time to improve stock and offer a more accurate reflection of availability in our marketing, leading to increased spending
  • Learn how to build a data foundation to enable end-to-end insights
  • Hear how to best structure collaborative data analytics and science teams that can work collaboratively to improve supply chain efficiency, customer options, pricing, and marketing
  • Build a business case for creating a strategic, central analytics division to break down traditional silos and working with multiple business stakeholders

Opening Keynote: From Front of House to Back Office – Building a Two-Way Data and Analytics Flow to Drive Efficiency, Collaboration and Revenue

April 12 | 09:00 - 09:20

  • Create a central analytics division is essential to unlock the true value in our data
  • By building a flexible end-to-end analytics vision, we can react to consumer trends in real-time to improve stock and offer a more accurate reflection of availability in our marketing, leading to increased spending
  • Learn how to build a data foundation to enable end-to-end insights
  • Hear how to best structure collaborative data analytics and science teams that can work collaboratively to improve supply chain efficiency, customer options, pricing, and marketing
  • Build a business case for creating a strategic, central analytics division to break down traditional silos and working with multiple business stakeholders
Register

Speaking:

09:20

Presentation: Building an Analytics Lab as a Catalyst for Data & Analytics Excellence

  • Fast-track your analytics team with the adoption of an empowered data lab
  • Explore how companies such as Walmart are changing the way we shop by investing in a dedicated data-first innovation division centered around operational excellence
  • Examine the structure of successful independent analytics labs and how you can create one in your organization
  • Learn how to hire curious and successful data scientists to drive new products both internally and externally

Presentation: Building an Analytics Lab as a Catalyst for Data & Analytics Excellence

April 12 | 09:20 - 09:40

  • Fast-track your analytics team with the adoption of an empowered data lab
  • Explore how companies such as Walmart are changing the way we shop by investing in a dedicated data-first innovation division centered around operational excellence
  • Examine the structure of successful independent analytics labs and how you can create one in your organization
  • Learn how to hire curious and successful data scientists to drive new products both internally and externally
Register

Speaking:

09:40

Panel: The Business Case for the Chief Data and Analytics Officer

  • Become an analytics force by using the CAO title as a statement of intent
    • Learn how to create the business case for the c-level data & analytics champion and hear how other retail and CPG companies have successfully implemented the title
        Hear how the focus on analytics has transformed once traditional companies into powerhouses of retail and ecommerce
          Create a clear, central analytics roadmap to avoid wasteful investment
            Explore the language of the key C-suite titles to ensure they understand the true benefits of a central analytics division with a seat at the table

Panel: The Business Case for the Chief Data and Analytics Officer

April 12 | 09:40 - 10:10

  • Become an analytics force by using the CAO title as a statement of intent
    • Learn how to create the business case for the c-level data & analytics champion and hear how other retail and CPG companies have successfully implemented the title
        Hear how the focus on analytics has transformed once traditional companies into powerhouses of retail and ecommerce
          Create a clear, central analytics roadmap to avoid wasteful investment
            Explore the language of the key C-suite titles to ensure they understand the true benefits of a central analytics division with a seat at the table
Register

Speaking:

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

Register

Speaking:

10:40

Insider Session: How to Amalgamate Siloed Customer Interaction Data for a Clear View of Customer Sentiment for Improved Loyalty

  • Unlock the power of constant customer interaction (Call center logs, social media interactions, forums, in-store comments, etc) to gain a clear understanding of the customer for greater retention
  • Learn how major brands are amalgamating their interaction data through the latest cataloguing tools and metadata techniques for a clear view on customer sentiment
  • Hear how this data is being used to form corporate-wide strategy to enhance the customer experience, address concerns, and improve retention and loyalty

Insider Session: How to Amalgamate Siloed Customer Interaction Data for a Clear View of Customer Sentiment for Improved Loyalty

April 12 | 10:40 - 11:10

  • Unlock the power of constant customer interaction (Call center logs, social media interactions, forums, in-store comments, etc) to gain a clear understanding of the customer for greater retention
  • Learn how major brands are amalgamating their interaction data through the latest cataloguing tools and metadata techniques for a clear view on customer sentiment
  • Hear how this data is being used to form corporate-wide strategy to enhance the customer experience, address concerns, and improve retention and loyalty
Register

Speaking:

11:10

Presentation: Breakdown Supply Chain Silos Using Data Cataloging Tools

  • Build an end-to-end vision of your supply chain by breaking down the siloed data assets across your corporation
  • Understand how data catalogs can be used to ensure your data users know what data is available across the entire ecosystem
  • Learn how to implement a catalog systems internally and what vendors are available externally

Presentation: Breakdown Supply Chain Silos Using Data Cataloging Tools

April 12 | 11:10 - 11:30

  • Build an end-to-end vision of your supply chain by breaking down the siloed data assets across your corporation
  • Understand how data catalogs can be used to ensure your data users know what data is available across the entire ecosystem
  • Learn how to implement a catalog systems internally and what vendors are available externally
Register

Speaking:

11:30

Learning Lab: How to Drive Intelligent Change for Enhanced Customer Experience, Loyalty and Market Share

  • Hear how to utilize IoT data, intelligent automation, people analytics and machine learning/AI techniques to promote and drive change designed to maximize the customer’s experience
  • Move from simply capturing customer data within siloed divisions to operationalizing the insights for enterprise-wide transformation
  • Learn how to empower stakeholders with analytics tools and thinking to help them understand the benefits of analytics-led change
  • Explore the language of the C-Suite to deliver powerful messaging that resonates with their pain-points
  • Find out how to explain the power of AI, ML and the IoT in realistic, implementable ways
  • Form teams to build advanced analytics roadmaps designed to drive change at the highest level of a retail organization

Learning Lab: How to Drive Intelligent Change for Enhanced Customer Experience, Loyalty and Market Share

April 12 | 11:30 - 12:30

  • Hear how to utilize IoT data, intelligent automation, people analytics and machine learning/AI techniques to promote and drive change designed to maximize the customer’s experience
  • Move from simply capturing customer data within siloed divisions to operationalizing the insights for enterprise-wide transformation
  • Learn how to empower stakeholders with analytics tools and thinking to help them understand the benefits of analytics-led change
  • Explore the language of the C-Suite to deliver powerful messaging that resonates with their pain-points
  • Find out how to explain the power of AI, ML and the IoT in realistic, implementable ways
  • Form teams to build advanced analytics roadmaps designed to drive change at the highest level of a retail organization
Register

Speaking:

12:30

Lunch

Lunch

April 12 | 12:30 - 13:30

Register

Speaking:

1:30

Discussion Group: What is the Magic Formula for Analytic Team Structure in the Retail and CPG Space?

Discussion Group: What is the Magic Formula for Analytic Team Structure in the Retail and CPG Space?

April 12 | 13:30 - 14:15

Register

Speaking:

2:15

Discussion Group: How Can We Become Trusted Advisors to the C-Suite and Board?

Discussion Group: How Can We Become Trusted Advisors to the C-Suite and Board?

April 12 | 14:15 - 15:00

Register

Speaking:

3:00

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 15:00 - 15:30

Register

Speaking:

3:30

Afternoon Keynote: Implementing a Cloud-Based Architecture for End-to-End Analytics

    Keep up with the fast moving nature of retail with cloud analytics
  • It requires a secure system with strong collaborative abilities across a diverse range of divisions
  • Moving onto the cloud will allow you to access new data sources and create data products with greater speed and agility than ever before while improving data lineage, meta data cataloguing, and data security
  • Learn how to benchmark your existing time to analytics capabilities to best assess cloud accelerated offerings
  • Explore which data projects will benefit the most from the improved capabilities of cloud architecture to design and pitch trials
  • Hear how analytics leaders are scaling their cloud deployment effectively

Afternoon Keynote: Implementing a Cloud-Based Architecture for End-to-End Analytics

April 12 | 15:30 - 15:50

    Keep up with the fast moving nature of retail with cloud analytics
  • It requires a secure system with strong collaborative abilities across a diverse range of divisions
  • Moving onto the cloud will allow you to access new data sources and create data products with greater speed and agility than ever before while improving data lineage, meta data cataloguing, and data security
  • Learn how to benchmark your existing time to analytics capabilities to best assess cloud accelerated offerings
  • Explore which data projects will benefit the most from the improved capabilities of cloud architecture to design and pitch trials
  • Hear how analytics leaders are scaling their cloud deployment effectively
Register

Speaking:

3:50

Insider Session: Improving Business Forecasting with AI and Machine Learning

  • Learn how to use ML and AI to forecast supply chain and consumer demand with pinpoint accuracy and intelligently automate business transactions
  • Learn how to enable nimble, accurate forecasting to improve KPI and reduce wastage along the supply chain
  • Explore how to implement AI systems to automate and monitor procurement and supply chain management

Insider Session: Improving Business Forecasting with AI and Machine Learning

April 12 | 15:50 - 16:20

  • Learn how to use ML and AI to forecast supply chain and consumer demand with pinpoint accuracy and intelligently automate business transactions
  • Learn how to enable nimble, accurate forecasting to improve KPI and reduce wastage along the supply chain
  • Explore how to implement AI systems to automate and monitor procurement and supply chain management
Register

Speaking:

4:20

Happy Hour Roundtables

Enjoy a drink as you attend two in-depth round tables Building Data Sharing Agreements for Fast-Tracked Success Integrating AI into Your eCommerce Experience for Reduced Basket Abandonment Unlocking Your Customer Data to Collaborate with Digital and Create a Seamless Omni-Channel Experience Empowering the Marketing Team with Analytics Beyond a Dashboard

Happy Hour Roundtables

April 12 | 16:20 - 17:20

Enjoy a drink as you attend two in-depth round tables Building Data Sharing Agreements for Fast-Tracked Success Integrating AI into Your eCommerce Experience for Reduced Basket Abandonment Unlocking Your Customer Data to Collaborate with Digital and Create a Seamless Omni-Channel Experience Empowering the Marketing Team with Analytics Beyond a Dashboard
Register

Speaking:

5:20

Chair's Closing Remarks

Chair's Closing Remarks

April 12 | 17:20 - 17:30

Register

Speaking:

5:30

Networking Drinks

Networking Drinks

April 12 | 17:30 - 18:30

Register

Speaking:

Main Conference Day 1
November 19th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: Moving from Cost Center to Profit Center

  • How to build an operational roadmap and demonstrate ROI
  • It is important that we are able to measure the bottom line impact and provide an ROI
  • Learn how to develop metrics that highlight both cost saving and profit generating analytics projects, including ML & AI product creation
  • Explore how to best demonstrate the value of experimental analytics projects
  • Speak the language stakeholders understand to best address their pain-points and communicate the benefits of a central analytics division

Opening Keynote: Moving from Cost Center to Profit Center

April 12 | 09:00 - 09:20

  • How to build an operational roadmap and demonstrate ROI
  • It is important that we are able to measure the bottom line impact and provide an ROI
  • Learn how to develop metrics that highlight both cost saving and profit generating analytics projects, including ML & AI product creation
  • Explore how to best demonstrate the value of experimental analytics projects
  • Speak the language stakeholders understand to best address their pain-points and communicate the benefits of a central analytics division
Register

Speaking:

09:20

Presentation: Managing Your Internal Customers – Becoming a Trusted Consultant Within Your Organization

  • Become a strategic partner for continued growth
  • By building a core consulting group, including the formation of internal white papers and training on core emerging technologies is essential to continue democratising the data analytics process and build a culture of analytics understanding
  • Learn how to structure your core analytics center of excellence as a core strategic group designed to implement an analytics first culture across your organization

Presentation: Managing Your Internal Customers – Becoming a Trusted Consultant Within Your Organization

April 12 | 09:20 - 09:40

  • Become a strategic partner for continued growth
  • By building a core consulting group, including the formation of internal white papers and training on core emerging technologies is essential to continue democratising the data analytics process and build a culture of analytics understanding
  • Learn how to structure your core analytics center of excellence as a core strategic group designed to implement an analytics first culture across your organization
Register

Speaking:

09:40

Presentation: Building Trust in The Experimental Analytics Process

  • Learn to demonstrate the value of experimentation
  • Find the balance between cutting-edge and practical implementation to satisfy all stakeholders
  • Explore metrics for targeted experimental analytics success and consider alternative incentive systems for effective implementation
  • Remember: keep the business case at the heart of your experimental team for maximum buy-in

Presentation: Building Trust in The Experimental Analytics Process

April 12 | 09:40 - 10:00

  • Learn to demonstrate the value of experimentation
  • Find the balance between cutting-edge and practical implementation to satisfy all stakeholders
  • Explore metrics for targeted experimental analytics success and consider alternative incentive systems for effective implementation
  • Remember: keep the business case at the heart of your experimental team for maximum buy-in
Register

Speaking:

10:00

Morning Coffee

Morning Coffee

April 12 | 10:00 - 10:30

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Speaking:

10:30

Presentation: Resolving Your Data Disconnect with DataOps

  • Realise the true value of your data with DataOps
  • Learn what exactly is DataOps and how you can implement a DataOps approach for more focus and flexibility
  • Explore the relationship between DataOps, DevOps, Agile and Lean methodologies for a complete understanding of the DataOps process
  • Understand the challenges of implementing a DataOps methodology and what practical steps you can take to begin the process

Presentation: Resolving Your Data Disconnect with DataOps

April 12 | 10:30 - 10:50

  • Realise the true value of your data with DataOps
  • Learn what exactly is DataOps and how you can implement a DataOps approach for more focus and flexibility
  • Explore the relationship between DataOps, DevOps, Agile and Lean methodologies for a complete understanding of the DataOps process
  • Understand the challenges of implementing a DataOps methodology and what practical steps you can take to begin the process
Register

Speaking:

10:50

Panel: To Hire or Train – How Can We Create Analytic and Data Science Teams that Understand Business and Operational Value?

  • Address the data science and analytics talent gap
  • Is hiring technical expertise more effective than training business or domain knowledge?
  • Hear differing perspectives from across a range of industries on how to ensure you are filling your talent gaps efficiently and effectively
  • Learn how to ensure candidates have both the domain knowledge required, the curiosity, and the business acumen to succeed
  • Develop training plans for both existing staff moving into analytics and data science, as well as new candidates

Panel: To Hire or Train – How Can We Create Analytic and Data Science Teams that Understand Business and Operational Value?

April 12 | 10:50 - 11:20

  • Address the data science and analytics talent gap
  • Is hiring technical expertise more effective than training business or domain knowledge?
  • Hear differing perspectives from across a range of industries on how to ensure you are filling your talent gaps efficiently and effectively
  • Learn how to ensure candidates have both the domain knowledge required, the curiosity, and the business acumen to succeed
  • Develop training plans for both existing staff moving into analytics and data science, as well as new candidates
Register

Speaking:

Learning Lab A

11:20

Learning Lab A: Building the Right AI Strategy for Your Organization

  • Build an AI strategy based on your industry, size, and ambition
  • Learn how to balance the desire to be cutting edge with practical considerations of business size, industry pressures, and agility
  • Explore where traditional analytics still beats out AI in cost and accuracy and how the landscape is changing
  • Hear how to build a collaborative strategy with key stakeholders across the organization for maximum buy-in
  • Work in teams to create a flexible AI roadmap for your industry that takes into account both the drawbacks and the potential of AI for your data analytics models

Learning Lab A: Building the Right AI Strategy for Your Organization

April 12 | 11:20 - 12:20

  • Build an AI strategy based on your industry, size, and ambition
  • Learn how to balance the desire to be cutting edge with practical considerations of business size, industry pressures, and agility
  • Explore where traditional analytics still beats out AI in cost and accuracy and how the landscape is changing
  • Hear how to build a collaborative strategy with key stakeholders across the organization for maximum buy-in
  • Work in teams to create a flexible AI roadmap for your industry that takes into account both the drawbacks and the potential of AI for your data analytics models
Register

Speaking:

Learning Lab B

11:20

Learning Lab B: Deploying Self-Service Analytics That Work (And Are Actually Used)

  • Go beyond basic visualization for self-service analytics that works and is adopted by business leaders
  • Learn how to leverage the latest tools and systems to deliver real-time insight in a format business leaders can easily and accurately digest
  • Explore training options to increase adoption and to prevent potentially disastrous confusion between correlation and causation
  • Understand the role of the analytics division in the world of democratized data
  • Work in teams to develop training programs for traditional business leaders to help them move from slow models and gut feeling into a statistical and empirical use of analytical tools

Learning Lab B: Deploying Self-Service Analytics That Work (And Are Actually Used)

April 12 | 11:20 - 12:20

  • Go beyond basic visualization for self-service analytics that works and is adopted by business leaders
  • Learn how to leverage the latest tools and systems to deliver real-time insight in a format business leaders can easily and accurately digest
  • Explore training options to increase adoption and to prevent potentially disastrous confusion between correlation and causation
  • Understand the role of the analytics division in the world of democratized data
  • Work in teams to develop training programs for traditional business leaders to help them move from slow models and gut feeling into a statistical and empirical use of analytical tools
Register

Speaking:

12:20

Lunch

Lunch

April 12 | 12:20 - 13:20

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Speaking:

Discussion Group A: Data Management

1:20

Discussion Group A: Where Do We Start the Cloud Analytics Journey?

Discussion Group A: Where Do We Start the Cloud Analytics Journey?

April 12 | 13:20 - 14:05

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Speaking:

Discussion Group B: Organisational Buy-In

1:20

Discussion Group B: How Can We Drive an Innovative Analytics Culture in Established, Traditional Companies?

Discussion Group B: How Can We Drive an Innovative Analytics Culture in Established, Traditional Companies?

April 12 | 13:20 - 14:05

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Speaking:

Discussion Group C: Embracing New Technology

1:20

Discussion Group C: How Do We Gain Buy-In For New Technology Experimentation?

Discussion Group C: How Do We Gain Buy-In For New Technology Experimentation?

April 12 | 13:20 - 14:05

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Speaking:

Discussion Group A: Data Management

2:05

Discussion Group A: What are the Best Practices for Implementing Automated Governance Monitoring Systems?

Discussion Group A: What are the Best Practices for Implementing Automated Governance Monitoring Systems?

April 12 | 14:05 - 14:50

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Speaking:

Discussion Group B: Organisational Buy-In

2:05

Discussion Group B: What Are the Benefits and Draw Backs of Spinning Out Core Analytic Functions?

Discussion Group B: What Are the Benefits and Draw Backs of Spinning Out Core Analytic Functions?

April 12 | 14:05 - 14:50

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Speaking:

Discussion Group C: Embracing New Technology

2:05

Discussion Group C: Where Is Deep Learning More Effective than Traditional ML in Business Use Cases?

Discussion Group C: Where Is Deep Learning More Effective than Traditional ML in Business Use Cases?

April 12 | 14:05 - 14:50

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Speaking:

2:50

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 14:50 - 15:20

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Speaking:

3:20

Afternoon Keynote: A Roadmap to Cloud Analytics Success - From Proof of Concept to At-Scale Delivery

  • Unlock the value of data through cloud analytics
  • Learn about the most popular strategies for tackling cloud transformation including multi-cloud and hybrid systems
  • Explore how to remove barriers to adoption including regulatory concerns, cost, and integration with legacy hardware
  • Hear how to maintain a healthy cloud ecosystem and educate staff on best practices for data collection, storage and use in the cloud

Afternoon Keynote: A Roadmap to Cloud Analytics Success - From Proof of Concept to At-Scale Delivery

April 12 | 15:20 - 15:40

  • Unlock the value of data through cloud analytics
  • Learn about the most popular strategies for tackling cloud transformation including multi-cloud and hybrid systems
  • Explore how to remove barriers to adoption including regulatory concerns, cost, and integration with legacy hardware
  • Hear how to maintain a healthy cloud ecosystem and educate staff on best practices for data collection, storage and use in the cloud
Register

Speaking:

3:40

Presentation: Implementing Data Catalogs for a Complete View of Your Data Assets

  • Make sure your analytics teams know what assets they have available before they start a project
  • A fundamental aspect of data management must be a searchable catalog of the resources availableExplore why data catalogs are essential to any analytics leader working with “big data”Examine how modern machine learning capabilities can take data catalogs from a passive data management tool to an active insight generation systemLearn how to implement a catalog successfully by examining the resources required and the vendor landscape

Presentation: Implementing Data Catalogs for a Complete View of Your Data Assets

April 12 | 15:40 - 16:00

  • Make sure your analytics teams know what assets they have available before they start a project
  • A fundamental aspect of data management must be a searchable catalog of the resources availableExplore why data catalogs are essential to any analytics leader working with “big data”Examine how modern machine learning capabilities can take data catalogs from a passive data management tool to an active insight generation systemLearn how to implement a catalog successfully by examining the resources required and the vendor landscape
Register

Speaking:

4:00

Happy Hour Roundtables

Enjoy a drink while attending two 30min roundtables of your choice! Overcoming Common Objections for A Radical Data-Culture Shift Working With the Product Team to Develop and Deploy New Offerings Your Customers Actually Want Building a Data-As-A-Service Supply Chain Regulatory Update: Changes for Data and Analytics Leaders from Across the World The CDAO of 2025 – How Will the Role Change and What Can We Do to Prepare? Why Analytics Research Is Important and What We Can Do To Support It Building Metrics that Reflect Reality Becoming Data Partners with Our Customers for Improved Trust and Ethical Accountability Job Loss and Creation – Having an Honest Conversation with Employees and Society At Large The Essential Checklist for a Successful Center of Excellence

Happy Hour Roundtables

April 12 | 16:00 - 17:00

Enjoy a drink while attending two 30min roundtables of your choice! Overcoming Common Objections for A Radical Data-Culture Shift Working With the Product Team to Develop and Deploy New Offerings Your Customers Actually Want Building a Data-As-A-Service Supply Chain Regulatory Update: Changes for Data and Analytics Leaders from Across the World The CDAO of 2025 – How Will the Role Change and What Can We Do to Prepare? Why Analytics Research Is Important and What We Can Do To Support It Building Metrics that Reflect Reality Becoming Data Partners with Our Customers for Improved Trust and Ethical Accountability Job Loss and Creation – Having an Honest Conversation with Employees and Society At Large The Essential Checklist for a Successful Center of Excellence
Register

Speaking:

5:00

Chair's Closing Remarks

Chair's Closing Remarks

April 12 | 17:00 - 17:10

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Speaking:

5:10

Networking Drinks

Networking Drinks

April 12 | 17:10 - 18:10

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Speaking:

Main Conference Day 2
November 20th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

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Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

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Speaking:

09:00

Opening Keynote: Optimizing the Balancing Act Between Compliance, Organizational Drivers and Customer Experience Analytics

  • Learn how to balance organizational needs with regulatory compliance and data & analytics ethics
  • Learn how to maximize profit-based organizational demands by setting a clear, transparent analytics roadmap
  • Explore making your customers a data partner for greater buy-in
  • Examine the latest regulatory changes and how AI tools can be used to ensure your governance and modelling remains compliant

Opening Keynote: Optimizing the Balancing Act Between Compliance, Organizational Drivers and Customer Experience Analytics

April 12 | 09:00 - 09:20

  • Learn how to balance organizational needs with regulatory compliance and data & analytics ethics
  • Learn how to maximize profit-based organizational demands by setting a clear, transparent analytics roadmap
  • Explore making your customers a data partner for greater buy-in
  • Examine the latest regulatory changes and how AI tools can be used to ensure your governance and modelling remains compliant
Register

Speaking:

09:20

Presentation: The Customer’s Data is Always Right – Building a Customer-Centric Analytics Culture Across the Organization

  • Build a customer-first mentality for an unparalleled increase in revenue from analytics
  • By putting the customer first, we can take our analytical capabilities from creepy to cool for a boost in both bottom line and good will
  • Learn how to adopt a customer-first view to ensure data products are well placed, well adopted, and actually address customer pain-points
  • Discover how you can build a partnership with your customers to improve data collection and analytics via gamification and social tools

Presentation: The Customer’s Data is Always Right – Building a Customer-Centric Analytics Culture Across the Organization

April 12 | 09:20 - 09:40

  • Build a customer-first mentality for an unparalleled increase in revenue from analytics
  • By putting the customer first, we can take our analytical capabilities from creepy to cool for a boost in both bottom line and good will
  • Learn how to adopt a customer-first view to ensure data products are well placed, well adopted, and actually address customer pain-points
  • Discover how you can build a partnership with your customers to improve data collection and analytics via gamification and social tools
Register

Speaking:

09:40

Dual Dialogue: Partnering with the Digital Transformation Team for a Greater Customer Experience

  • Build a mutual understanding and common playbook to realise the ideal digital transformation
  • Hear from both a Chief Data Officer and a Chief Digital Officer on the process of building a culture of collaboration with mutual goals between the analytics leadership and the digital leadership
  • Form a lasting partnership with digital leaders to drive an effective digital transformation strategy
  • Help the digital team to understand the data needs of analytics and implement smart data gathering systems within the digital transformation roadmap
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Dual Dialogue: Partnering with the Digital Transformation Team for a Greater Customer Experience

April 12 | 09:40 - 10:10

  • Build a mutual understanding and common playbook to realise the ideal digital transformation
  • Hear from both a Chief Data Officer and a Chief Digital Officer on the process of building a culture of collaboration with mutual goals between the analytics leadership and the digital leadership
  • Form a lasting partnership with digital leaders to drive an effective digital transformation strategy
  • Help the digital team to understand the data needs of analytics and implement smart data gathering systems within the digital transformation roadmap
  • <.ul>
Register

Speaking:

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

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Speaking:

10:40

Presentation: Why Your Big Data Efforts Are Failing to Deliver

  • Discover how to structure a question-first big data effort
  • Learn how to build the foundation before creating a big data solution
  • Explore how to avoid data silos killing your big data effort
  • Explore where you should build, hire, and buy the right expertise
  • Delve into your tools and technology to find where they are failing to match (and failing to answer the right questions)

Presentation: Why Your Big Data Efforts Are Failing to Deliver

April 12 | 10:40 - 11:00

  • Discover how to structure a question-first big data effort
  • Learn how to build the foundation before creating a big data solution
  • Explore how to avoid data silos killing your big data effort
  • Explore where you should build, hire, and buy the right expertise
  • Delve into your tools and technology to find where they are failing to match (and failing to answer the right questions)
Register

Speaking:

11:00

Presentation: Structuring the Data Science and Analytics Division to Scale with The Organization

  • Examine which structure allows the greatest flexibility and accuracy for high-quality insights
  • Hub and spoke, center of excellence, operation-specific – build an understanding of the methodologies available and which one is suitable for your needs
  • Learn how to organize your division for success and avoid common pitfalls
  • Explore how to analyse which skills and roles you still require for success

Presentation: Structuring the Data Science and Analytics Division to Scale with The Organization

April 12 | 11:00 - 11:20

  • Examine which structure allows the greatest flexibility and accuracy for high-quality insights
  • Hub and spoke, center of excellence, operation-specific – build an understanding of the methodologies available and which one is suitable for your needs
  • Learn how to organize your division for success and avoid common pitfalls
  • Explore how to analyse which skills and roles you still require for success
Register

Speaking:

11:20

Presentation: Overcoming the Culture Clash Between IT and Data Analytics

  • Hear how to answer the question of the remit of the CDAO and how to address the tug of war with IT
  • The question of what is IT and what is Data remains contentious and threatens the role of the CDAO in the next shift of the c-suite titles
  • Explore the compromises to end the silent war between IT divisions and data & analytics departments to work together for faster roll-out and more effective insights

Presentation: Overcoming the Culture Clash Between IT and Data Analytics

April 12 | 11:20 - 11:40

  • Hear how to answer the question of the remit of the CDAO and how to address the tug of war with IT
  • The question of what is IT and what is Data remains contentious and threatens the role of the CDAO in the next shift of the c-suite titles
  • Explore the compromises to end the silent war between IT divisions and data & analytics departments to work together for faster roll-out and more effective insights
Register

Speaking:

Learning Lab A

11:40

Learning Lab A: Cutting Cost through Broken Process Identification and Elimination

  • Examining long-standing processes can be an awkward and politically charged process
  • Learn how to educate stakeholders on methodologies used when examining their traditional processes
  • Explore how to build a culture of partnership in the process
  • Help stakeholders to formulate insightful questions into their own team processes while providing unique and unexpected insight
  • Work in teams to develop a collaboration plan with traditional business leaders (finance, supply chain, etc)

Learning Lab A: Cutting Cost through Broken Process Identification and Elimination

April 12 | 11:40 - 12:40

  • Examining long-standing processes can be an awkward and politically charged process
  • Learn how to educate stakeholders on methodologies used when examining their traditional processes
  • Explore how to build a culture of partnership in the process
  • Help stakeholders to formulate insightful questions into their own team processes while providing unique and unexpected insight
  • Work in teams to develop a collaboration plan with traditional business leaders (finance, supply chain, etc)
Register

Speaking:

Learning Lab B

11:40

Learning Lab B: Effectively Spinning Out the Analytics Division for Greater Flexibility

  • How to spin off your analytics division
  • How can you effectively prepare a spinout aimed at increasing flexibility, revenue and quality of insights?
  • Learn from teams that have successfully completed a spinout from people who have gone through the process
  • Avoid the pitfalls and maximize the benefits in this Learning Lab
  • Work in teams to build a roadmap to successfully spin out central analytics divisions

Learning Lab B: Effectively Spinning Out the Analytics Division for Greater Flexibility

April 12 | 11:40 - 12:40

  • How to spin off your analytics division
  • How can you effectively prepare a spinout aimed at increasing flexibility, revenue and quality of insights?
  • Learn from teams that have successfully completed a spinout from people who have gone through the process
  • Avoid the pitfalls and maximize the benefits in this Learning Lab
  • Work in teams to build a roadmap to successfully spin out central analytics divisions
Register

Speaking:

12:40

Lunch

Lunch

April 12 | 12:40 - 13:40

Register

Speaking:

Discussion Group A: People

1:40

Discussion Group A: How Can We Improve Trust in AI and Automated Tasks?

Discussion Group A: How Can We Improve Trust in AI and Automated Tasks?

April 12 | 13:40 - 14:25

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Speaking:

Discussion Group B: Process

1:40

Discussion Group B: Where Can We Improve Our Processes Through Customer-Centric Design Thinking?

Discussion Group B: Where Can We Improve Our Processes Through Customer-Centric Design Thinking?

April 12 | 13:40 - 14:25

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Speaking:

Discussion Group C: Product

1:40

Discussion Group C: How Can We Minimize Waste By Integrating Legacy Technology into Modern Platforms?

Discussion Group C: How Can We Minimize Waste By Integrating Legacy Technology into Modern Platforms?

April 12 | 13:40 - 14:25

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Speaking:

Discussion Group A: People

2:25

Discussion Group A: How Can We Build Reward and Compensation Structures to Encourage Ethics, Compliance, and Profit?

Discussion Group A: How Can We Build Reward and Compensation Structures to Encourage Ethics, Compliance, and Profit?

April 12 | 14:25 - 15:10

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Speaking:

Discussion Group B: Process

2:25

Discussion Group B: How Can We Encourage Non-Technical Stakeholders to Collaborate and Become Joint Owners of the Analytics Process?

Discussion Group B: How Can We Encourage Non-Technical Stakeholders to Collaborate and Become Joint Owners of the Analytics Process?

April 12 | 14:25 - 15:10

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Speaking:

Discussion Group C: Product

2:25

Discussion Group C: How Can We Improve Efficiency, Collaboration, and Accuracy with Distributed Ledger Models?

Discussion Group C: How Can We Improve Efficiency, Collaboration, and Accuracy with Distributed Ledger Models?

April 12 | 14:25 - 15:10

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Speaking:

3:10

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 15:10 - 15:40

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Speaking:

3:40

Afternoon Keynote: Prepare for Change - The Future of the CAO Role

  • Rethink the future of the CAO role or risk falling victim to shifting priorities
  • Explore why so many CAOs fail to make an impact and learn what you can do to clearly and accurately demonstrate the benefits of data-driven analytics to various business leaders
  • Does the future lie with a single data and analytics champion? What can you do to prepare and become the ultimate data tsar?

Afternoon Keynote: Prepare for Change - The Future of the CAO Role

April 12 | 15:40 - 16:00

  • Rethink the future of the CAO role or risk falling victim to shifting priorities
  • Explore why so many CAOs fail to make an impact and learn what you can do to clearly and accurately demonstrate the benefits of data-driven analytics to various business leaders
  • Does the future lie with a single data and analytics champion? What can you do to prepare and become the ultimate data tsar?
Register

Speaking:

4:00

Panel Discussion: How Do We Balance Ethical Analytics with Organizational Outcomes?

  • Navigate the climate of distrust in data collection and analytics
  • With the rise of AI, the importance of having a strong data & analytics ethics strategy
  • What are organizations doing to promote a culture of ethical responsibility in AI projects?
  • How can you make ethical considerations an organizational outcome in its own right?
  • Learn how to turn a PR concern into a strategic advantage

Panel Discussion: How Do We Balance Ethical Analytics with Organizational Outcomes?

April 12 | 16:00 - 16:30

  • Navigate the climate of distrust in data collection and analytics
  • With the rise of AI, the importance of having a strong data & analytics ethics strategy
  • What are organizations doing to promote a culture of ethical responsibility in AI projects?
  • How can you make ethical considerations an organizational outcome in its own right?
  • Learn how to turn a PR concern into a strategic advantage
Register

Speaking:

4:30

Open Q&A with the Advisory Board

Grab a drink, kick back and celebrate the end of this years’ event by asking our esteemed panel any question you wish. Want to dive deeper into what we’ve discussed over the last few days? Is there anything that hasn’t come up that you want to explore? What would you like to see on the agenda for next year? We’ll close out this year’s show by discussing all of this and more!

Open Q&A with the Advisory Board

April 12 | 16:30 - 17:00

Grab a drink, kick back and celebrate the end of this years’ event by asking our esteemed panel any question you wish. Want to dive deeper into what we’ve discussed over the last few days? Is there anything that hasn’t come up that you want to explore? What would you like to see on the agenda for next year? We’ll close out this year’s show by discussing all of this and more!
Register

Speaking:

5:00

Chairman's Closing Remarks

Chairman's Closing Remarks

April 12 | 17:00 - 17:15

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Speaking:

5:15

END OF CONFERENCE - Bon Voyage!

END OF CONFERENCE - Bon Voyage!

April 12 | 17:15 - 17:15

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Speaking: