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CDAOI Mexico

May 29-30, 2019 | Mexico City

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Day 1
29th May
08:00

Registration

Registration & Breakfast Networking in the Exhibition Area

Registration

May 29 | 08:00 - 09:00

Registration & Breakfast Networking in the Exhibition Area

Speaking:

09:00

Chairman's Opening Remarks

Chairman's Opening Remarks

May 29 | 09:00 - 09:20

Speaking:

09:20

Opening Keynote: Data and Digital Transformation in the Age of New Technology

  • Getting customer insights and value out of complex and rigid IT infrastructure
  • Overcoming lack of visibility throughout the consumer’s digital experience
  • How to develop a company-wide digital...

Opening Keynote: Data and Digital Transformation in the Age of New Technology

May 29 | 09:20 - 09:40

  • Getting customer insights and value out of complex and rigid IT infrastructure
  • Overcoming lack of visibility throughout the consumer’s digital experience
  • How to develop a company-wide digital transformation strategy that is based on strategic goals and the available data
  • Why data quality is integral to efficient digital transformation

Speaking:

09:40

Keynote Presentation: Getting the Right Data Strategy and Data Governance Processes in Place for AI

  • How to define AI and what it will do for your organization
  • What are the most important ‘hygiene’ factors to consider before AI is implemented?
  • Adapting data strategy and data governance processes to...

Keynote Presentation: Getting the Right Data Strategy and Data Governance Processes in Place for AI

May 29 | 09:40 - 10:00

  • How to define AI and what it will do for your organization
  • What are the most important ‘hygiene’ factors to consider before AI is implemented?
  • Adapting data strategy and data governance processes to accommodate the new insights from AI

Speaking:

10:00

Keynote Presentation: Using the Analytics Perspective With the Digital Structure

  • Why it is so important to use the data available to assist with challenging digital transformation strategies
  • Encouraging greater knowledge between departments who may have very different perspective
  • ...

Keynote Presentation: Using the Analytics Perspective With the Digital Structure

May 29 | 10:00 - 10:20

  • Why it is so important to use the data available to assist with challenging digital transformation strategies
  • Encouraging greater knowledge between departments who may have very different perspective
  • How to manage a budget with both a digital project manager and an analytics leader
  • Creating good relationships when analytics is often used as a way to judge the digital side of the business

Speaking:

10:20

Panel Discussion: What Can We Do to Make Business Transformation Strategies Successful?

  • Should analytics be continually used to measure success?
  • Tracing what works and what doesn’t in order to identify patterns
  • Acquiring valuable consumer data before business transformation strategies...

Panel Discussion: What Can We Do to Make Business Transformation Strategies Successful?

May 29 | 10:20 - 10:50

  • Should analytics be continually used to measure success?
  • Tracing what works and what doesn’t in order to identify patterns
  • Acquiring valuable consumer data before business transformation strategies take place
  • Getting data architecture processes in place for digital ecosystems

Speaking:

10:50

Mid-Morning Coffee Break & Networking

Mid-Morning Coffee Break & Networking

May 29 | 10:50 - 11:20

Speaking:

11:20

Keynote Presentation: Case Study - Practical Experience of Migrating to Data Lakes

  • With the trend to migrate to either Data Lakes or the Cloud, how do you decide which will be most effective for your organization?
  • Overcoming legacy systems for more efficient data structures
  • Is it...

Keynote Presentation: Case Study - Practical Experience of Migrating to Data Lakes

May 29 | 11:20 - 11:40

  • With the trend to migrate to either Data Lakes or the Cloud, how do you decide which will be most effective for your organization?
  • Overcoming legacy systems for more efficient data structures
  • Is it better to outsource or build abilities in-house?
  • Working out the appropriate size for the data lake

Speaking:

11:40

Keynote Presentation: Cloud Adoptions - Key Risks and How to Mitigate Them

  • How to delivery real-time analytics with the Cloud · Developing an appropriate roadmap for a Cloud platform
  • What are the key security risks to consider when migrating to the Cloud
  • What about data that...

Keynote Presentation: Cloud Adoptions - Key Risks and How to Mitigate Them

May 29 | 11:40 - 12:00

  • How to delivery real-time analytics with the Cloud · Developing an appropriate roadmap for a Cloud platform
  • What are the key security risks to consider when migrating to the Cloud
  • What about data that is already encrypted?

Speaking:

12:00

Keynote Presentation: Data Monetization - Enhancing the Value of Your Company's Enterprise Data

  • Gaining value out of structured and unstructured data
  • Improving business intelligence and processes by applying data analytics
  • Avoiding data siloes and tapping into the full potential of enterprise data

Keynote Presentation: Data Monetization - Enhancing the Value of Your Company's Enterprise Data

May 29 | 12:00 - 12:20

  • Gaining value out of structured and unstructured data
  • Improving business intelligence and processes by applying data analytics
  • Avoiding data siloes and tapping into the full potential of enterprise data
  • What business models are available for data monetization?

Speaking:

Track A:

12:20

Panel Discussion: How Best Can We Create Clear Paths of Communication With Other Business Areas?

  • Creating clarity around the business agenda in order to drive better analyses and insights
  • How do you set a realistic return on investment for new projects?
  • Establishing strong inter-departmental links...

Panel Discussion: How Best Can We Create Clear Paths of Communication With Other Business Areas?

May 29 | 12:20 - 12:50

  • Creating clarity around the business agenda in order to drive better analyses and insights
  • How do you set a realistic return on investment for new projects?
  • Establishing strong inter-departmental links for better operations
  • Collaborating effective with other departments such as marketing and customer to improve business operations through education

Speaking:

Track A:

12:50

Lunch and Networking in the Exhibition Area

Lunch and Networking in the Exhibition Area

May 29 | 12:50 - 13:50

Speaking:

Track A:

1:50

Discussion Group 1A: the Customer Focus

How can data be used to deliver on the differnet experiences that customer expect?

Discussion Group 1A: the Customer Focus

May 29 | 13:50 - 14:35

How can data be used to deliver on the differnet experiences that customer expect?

Speaking:

Track A:

1:50

Discussion Group 1B: Data Governance and Data Management

How can we either effective visualize or integrate data from different sources?

Discussion Group 1B: Data Governance and Data Management

May 29 | 13:50 - 14:35

How can we either effective visualize or integrate data from different sources?

Speaking:

Track A:

1:50

Discussion Group 1C: Data for Risk Management

How can we best use different kinds of data to mitigate risk?

Discussion Group 1C: Data for Risk Management

May 29 | 13:50 - 14:35

How can we best use different kinds of data to mitigate risk?

Speaking:

Track B:

2:35

Discussion Group 2C: Data for AML and Risk Management

Utilizing data for effective fraud detection

Discussion Group 2C: Data for AML and Risk Management

May 29 | 14:35 - 15:20

Utilizing data for effective fraud detection

Speaking:

Track B:

2:35

Discussion Group 2B: Data Governance and Data Management

Navigating the Mexican, North American & Central Amercan data compliance maze

Discussion Group 2B: Data Governance and Data Management

May 29 | 14:35 - 15:20

Navigating the Mexican, North American & Central Amercan data compliance maze

Speaking:

Track A:

2:35

Discussion Group 2A: the Customer Focus

Using data from campaigns and promotions to create more effective customer interaction plans

Discussion Group 2A: the Customer Focus

May 29 | 14:35 - 15:20

Using data from campaigns and promotions to create more effective customer interaction plans

Speaking:

Track B:

3:20

Afternoon Tea & Networking in the Exhibition Area

Afternoon Tea & Networking in the Exhibition Area

May 29 | 15:20 - 15:50

Speaking:

Track B:

3:50

Keynote Presentation: Capitalizing on eCommerce Data to Increase Conversions and Turn Them into Sales

  • Identifying problem pages to keep customers in the purchasing pipeline · Utilizing surveys in conjunction with behavioral metrics to gain an understand of the customer buying process
  • Maximizing the...

Keynote Presentation: Capitalizing on eCommerce Data to Increase Conversions and Turn Them into Sales

May 29 | 15:50 - 16:10

  • Identifying problem pages to keep customers in the purchasing pipeline · Utilizing surveys in conjunction with behavioral metrics to gain an understand of the customer buying process
  • Maximizing the value of ecommerce data not only for better strategic decisions
  • Enhancing the role of ecommerce personalization in an increasingly competitive marketplace

Speaking:

Track B:

4:10

Keynote Presentation: Getting to Grips With Effective Social Media Strategies

  • Brands in both large and small are increasing their investment in social media, and with only three countries in the world spending more time on social media than Mexicans, it is clear why
  • Taking a...

Keynote Presentation: Getting to Grips With Effective Social Media Strategies

May 22 | 16:10 - 16:30

  • Brands in both large and small are increasing their investment in social media, and with only three countries in the world spending more time on social media than Mexicans, it is clear why
  • Taking a holistic approach to social media to distinguish between real data and vanity metrics and measure real conversions
  • Defining your least important & most important metrics: integrating with business priorities
  • Using social media to segment customer for more effective targeted campaigns

Speaking:

Track B:

4:30

Panel Discussion: Holding Customer Data - How Much is Too Much?

  • Gaining data on customers is essential for creating more personalized offerings, but how do we know how much data consumers are comfortable with us holding?
  • Conversely, are these concerns soon...

Panel Discussion: Holding Customer Data - How Much is Too Much?

May 29 | 16:30 - 16:50

  • Gaining data on customers is essential for creating more personalized offerings, but how do we know how much data consumers are comfortable with us holding?
  • Conversely, are these concerns soon mitigated if customers are saving money?
  • The benefits and drawback of different kinds of customer data
  • Taking the right steps to protect customers’ data: is being compliant with regulation enough?

Speaking:

4:50

Chairman's Closing Remarks

Chairman's Closing Remarks

May 29 | 16:50 - 17:00

Speaking:

5:00

Drinks Reception

Drinks Reception

May 29 | 17:00 - 18:00

Speaking:

6:00

Day One Close

Day One Close

May 29 | 18:00

Speaking:

Day 2
30th May
08:45

Registration & Breakfast Networking in the Exhibition Area

Registration & Networking in the Exhibition Area

Registration & Breakfast Networking in the Exhibition Area

May 30 | 08:45 - 09:00

Registration & Networking in the Exhibition Area

Speaking:

09:00

Opening Keynote: Experimenting With AI and Machine Learning Business Use Cases to Find the Right Strategy for the Business

  • ‘Kissing frogs to find a prince’: experimenting can be a challenge, but trials help to find the optimum outcome
  • How to implement AI for cost-cutting and to reduce complexities
  • Turning use cases into...

Opening Keynote: Experimenting With AI and Machine Learning Business Use Cases to Find the Right Strategy for the Business

May 30 | 09:00 - 09:20

  • ‘Kissing frogs to find a prince’: experimenting can be a challenge, but trials help to find the optimum outcome
  • How to implement AI for cost-cutting and to reduce complexities
  • Turning use cases into something more manageable
  • Scaling up AI to increase efficiency rates

Speaking:

09:20

Keynote Presentation: Building a Consensus Amongst Stakeholders

  • Tips on how to build a consensus amongst stakeholders who have different perspectives
  • Becoming more successful by being well-aligned with business initiatives
  • Convincing stakeholders that data projects...

Keynote Presentation: Building a Consensus Amongst Stakeholders

May 30 | 09:20 - 09:40

  • Tips on how to build a consensus amongst stakeholders who have different perspectives
  • Becoming more successful by being well-aligned with business initiatives
  • Convincing stakeholders that data projects are long-term valuable investment
  • Understanding the behavioral economics of customers

Speaking:

09:40

Keynote Presentation: Moving From a Cost Center to a Profit Center - How to Measure and Communicate the ROI of Analytics

  • Most business leaders will agree that analytics is a major part of the organization’s future
  • It isn’t just about increasing revenue – analytics leaders must show the savings created from operational...

Speaking:

Keynote Presentation: Moving From a Cost Center to a Profit Center - How to Measure and Communicate the ROI of Analytics

May 30 | 09:40 - 10:00

  • Most business leaders will agree that analytics is a major part of the organization’s future
  • It isn’t just about increasing revenue – analytics leaders must show the savings created from operational change and clearly demonstrate this value throughout all levels of the company
  • Hear from Banorte about where their analytics team has clearly demonstrated an ROI reaching into billions of dollars

Speaking:

10:00

Panel Discussion: How Can We Get the Most Value Out of Structured and Unstructured Data Through Machine Learning?

  • Are deep learning algorithms the best method for building a hierarchical representation of the data?
  • To train a machine learning model, big sets of data are needed. How should this be acquired?...

Panel Discussion: How Can We Get the Most Value Out of Structured and Unstructured Data Through Machine Learning?

May 30 | 10:00 - 10:30

  • Are deep learning algorithms the best method for building a hierarchical representation of the data?
  • To train a machine learning model, big sets of data are needed. How should this be acquired? Internally? Open source?
  • Creating realistic expectations for stakeholders
  • Key points factors to consider to scale up ML to cost-effectively to improve your marketing strategy, improve internal operations and better understand your customers

Speaking:

10:30

Mid-Morning Coffee Break & Networking

Mid-Morning Coffee Break & Networking

May 30 | 10:30 - 11:00

Speaking:

11:00

Keynote Presentation: Data Governance as a Strategic Asset

  • Establishing enterprise-wide data quality and master data management for manageability of data in large corporate environments
  • Creating an open culture so that organizational changes can be implemented

Keynote Presentation: Data Governance as a Strategic Asset

May 30 | 11:00 - 11:20

  • Establishing enterprise-wide data quality and master data management for manageability of data in large corporate environments
  • Creating an open culture so that organizational changes can be implemented
  • Getting stakeholders on board and creating a strategic plan for communication and objective tracking
  • Staying focused yet flexible to address fast-changing business needs

Speaking:

11:20

Keynote Presentation: Working With Legal and Data Protection Team for Socially Responsible Analytics

  • Big Data, Machine Learning and AI all require vast stores of data to operate efficiently, however due to the nature of the industry each come with unique and difficult legal barriers to entry
  • With...

Speaking:

Keynote Presentation: Working With Legal and Data Protection Team for Socially Responsible Analytics

May 30 | 11:20 - 11:40

  • Big Data, Machine Learning and AI all require vast stores of data to operate efficiently, however due to the nature of the industry each come with unique and difficult legal barriers to entry
  • With such a strong regulatory framework, the relationship between the analytics team and the legal team is one of the most important in a pharma/biotech company
  • Compliance failures don’t just lead to incredibly large fines, but also shatter trust in an industry that must be grounded in social responsibility and ethical practices
  • By identifying the current and upcoming legal challenges, including CalECPA, GDPR, Latin America’s latest privacy regulations, HIPAA and more we can also secure new opportunities for technological growth and efficiencies
  • What sort of metrics can be put in place to improve data protection, regulatory compliance, and ethical uses of data?
  • How can we work with patients to secure their trust and understanding of data analytics in the drug development process to continue to grow, improve, and create?

Speaking:

11:40

Panel Discussion: How Can We Overcome Legacy Infrastructure for a Data-Centric Organization?

Panel Discussion: How Can We Overcome Legacy Infrastructure for a Data-Centric Organization?

May 30 | 11:40 - 12:10

Speaking:

12:10

Roundtable Discussion 3: Discussing Data Visualization for Real-Time Risk and Performance Visuals

Roundtable Discussion 3: Discussing Data Visualization for Real-Time Risk and Performance Visuals

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 4: How Does the Way in Which the Data & Analytics Department is Structured Impact the Performance of Your Team?

Roundtable Discussion 4: How Does the Way in Which the Data & Analytics Department is Structured Impact the Performance of Your Team?

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 5: Can New Technologies and Data Privacy Work Hand in Hand?

Roundtable Discussion 5: Can New Technologies and Data Privacy Work Hand in Hand?

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 8: How to Create an Analytics-Driven Culture Throughout the Organization

Roundtable Discussion 8: How to Create an Analytics-Driven Culture Throughout the Organization

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 1: Should you use an agile methodology for your data and analytics projects?

Roundtable Discussion 1: Should you use an agile methodology for your data and analytics projects?

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 2: Integrating New Technology With Legacy Systems

Roundtable Discussion 2: Integrating New Technology With Legacy Systems

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 6: Breaking Down Internal Siloes to Increase Collaboration and Effectiveness

Roundtable Discussion 6: Breaking Down Internal Siloes to Increase Collaboration and Effectiveness

May 30 | 12:10 - 12:50

Speaking:

12:10

Roundtable Discussion 7: Enhancing the Value and Operational Efficiency of Continuous Business Intelligence

Roundtable Discussion 7: Enhancing the Value and Operational Efficiency of Continuous Business Intelligence

May 30 | 12:10 - 12:50

Speaking:

12:50

Lunch & Networking in the Exhibition Area

Lunch & Networking in the Exhibition Area

May 30 | 12:50 - 13:50

Speaking:

1:50

Discussion Group 3B: AI and Customer Behavior

Using web analytics to better to identify patterns in customer behavior

Discussion Group 3B: AI and Customer Behavior

May 30 | 13:50 - 14:35

Using web analytics to better to identify patterns in customer behavior

Speaking:

1:50

Discussion Group 3A: Data and the Cloud

What are the key factors to consider before implemeting Data Lake or the Cloud?

Discussion Group 3A: Data and the Cloud

May 30 | 13:50 - 14:35

What are the key factors to consider before implemeting Data Lake or the Cloud?

Speaking:

1:50

Discussion Group 3B: Talent & Data & Analytics Career Paths

Is it possible to define career paths for data and analytics professionals when they potentially move from science/ structure/ architecture?

Discussion Group 3B: Talent & Data & Analytics Career Paths

May 30 | 13:50 - 14:35

Is it possible to define career paths for data and analytics professionals when they potentially move from science/ structure/ architecture?

Speaking:

2:35

Discussion Group 4A: Data and the Cloud

Working with IT to cope with changes to workflows and data governance and privacy concerns

Discussion Group 4A: Data and the Cloud

May 30 | 14:35 - 15:20

Working with IT to cope with changes to workflows and data governance and privacy concerns

Speaking:

2:35

Discussion Group 4B: AI and Online Customer Behavior

Best practice steps for adopting successful AI analytics for customer interaction

Discussion Group 4B: AI and Online Customer Behavior

May 30 | 14:35 - 15:20

Best practice steps for adopting successful AI analytics for customer interaction

Speaking:

Track A:

2:35

Discussion Group 4C: Talent & Data & Analytics Career Paths

What can firms to do to attract analytic talent both with Mexico & globally?

Discussion Group 4C: Talent & Data & Analytics Career Paths

May 30 | 14:35 - 15:20

What can firms to do to attract analytic talent both with Mexico & globally?

Speaking:

Track A:

3:20

Afternoon Tea & Networking

Afternoon Tea & Networking

May 30 | 15:20 - 15:50

Speaking:

Track A:

3:50

Keynote Presentation: Taking a Holistic Approach to Customer Interaction

  • AI is a useful tool, but how do you know how far your customers are willing to interact with a chatbot?
  • Taking a hybrid approach to customer interaction
  • Getting the right data governance processes in...

Keynote Presentation: Taking a Holistic Approach to Customer Interaction

May 30 | 15:50 - 16:10

  • AI is a useful tool, but how do you know how far your customers are willing to interact with a chatbot?
  • Taking a hybrid approach to customer interaction
  • Getting the right data governance processes in place for AI

Speaking:

Track A:

4:10

Keynote Presentation: Getting to Grips With Marketing Analytics to Understand Customer Behavior

  • Taking advantage of different data types to take a structured approach to customer interaction
  • The most important controls to take during experimentation in order to improve you marketing department’s...

Keynote Presentation: Getting to Grips With Marketing Analytics to Understand Customer Behavior

May 30 | 16:10 - 16:30

  • Taking advantage of different data types to take a structured approach to customer interaction
  • The most important controls to take during experimentation in order to improve you marketing department’s conversion rates
  • What metrics and measures should be used measure social media and digital marketing success?
  • Establishing effective working relationships with marketing and digital marketing departments

Speaking:

Track A:

4:30

Panel Discussion: How Can Data be Used to Succeed in the Customer-Centric Revolution?

  • Embracing an era in which organizations put customers first
  • How can we segment customers into groups and personalize processes to encourage great interaction?
  • Taking an advantage of advanced analytics,...

Panel Discussion: How Can Data be Used to Succeed in the Customer-Centric Revolution?

May 30 | 16:30 - 17:00

  • Embracing an era in which organizations put customers first
  • How can we segment customers into groups and personalize processes to encourage great interaction?
  • Taking an advantage of advanced analytics, AI and machine learning to improve services for existing customers
  • What can be done to put the customer experience at the forefront of all projects in an era of increased competition and greater choice for consumers?

Speaking:

Track A:

5:00

Chairman's Closing Remarks

Chairman's Closing Remarks

May 30 | 17:00 - 17:10

Speaking:

Track B:

5:10

Post-Conference Focus Session

An informal focus session with some of our speakers reflecting on the event

Post-Conference Focus Session

May 30 | 17:10 - 17:40

An informal focus session with some of our speakers reflecting on the event

Speaking:

Track B:

5:40

Close of Conference

Close of Conference

May 30 | 17:40

Speaking: