CDO UK Live Series - February Edition 2022

Overview

Data Leaders need to be able to measure the value of their data and analytics program in order to successfully build advocacy and secure future funding opportunities, as well as meet customer expectations. Join this months edition to understand how to:

Utilise data insights to enhance the value propositions for your customers

Use advanced analytics, machine learning and personalisation techniques to deliver relevant experience

Accurately capture analytics value for long-term success

What to expect

• Virtual Attendees 150
• Live Interactions 1 to 1
• Speakers 7+
• Sessions 8+

What we will cover

• Utilise Data Insights How can we gain and utilise deeper insights to drive our organisations
• Using Advanced Analytics Establishing the right metrics to track value
• Different Models to Measure ROI Utilising different models to more holistically measure ROI
• Increased Effectiveness and Productivity How to ensure your highest priorities move forward on a regular basis.

Agenda

• 8:00 pm What's The Big Deal About Data Observability?(Plenary) Due to the ongoing exploding supply of data, enterprises must keep constant watch over their data and the pipelines through which it is ingested, prepared, and otherwise made fit for operational uses. Many enterprises have optimized data ingestion processes but experience issues with data management and data reliability. Data observability enables organizations to continually track, correlate, assess, predict, manage, and optimize the health of their data systems in operation. It is an essential tool for monitoring the metrics—such as data availability, reliability, efficiency, and performance—that businesses apply to ensure data teams meet the increasing demand for real-time data insights, data consumers trust the data they use to make business decisions, and executives ensure data delivery and pipeline performance meet business requirements. This session will cover best practices for using multidimensional data observability to monitor and optimize operational data pipelines and how to: Make the strategic case for data observability Identify the chief business metrics of data observability Use automation to scale data identification, reliability, quality and management Instrument the enterprise data infrastructure for comprehensible observability Use intelligent observability to augment data pipeline professionals’ productivity
• 8:24 pm Keynote: Into The Unknown - Digital Transformation Across HealthTech and Banking(Plenary) Join Dr. Anushka Patchava MD Deputy Chief Medical Officer / UN Expert Advisor, and Jonathan Cosgrove Associate Director: Chief of Staff, Transformation Group, EBRD as they discuss key drivers affecting both Industries, and the pivotal role data & analytics plays, where the commonalities are but how problems are solved in very different ways. Join this session to explore: Understanding the data challenges for different business sectors Problem solving initiatives Shared data and digital solutions, drawing parallels and key learnings across industries
• 8:49 pm Scaling Data Management as Your Organisation’s Data Maturity Increases(Plenary) Organisations are now collecting vast amounts of data, through a variety of systems. As they continue to utilise this data to drive their growth, and continue on their journey towards greater data maturity, the scale and complexity of the data they work with only increases. The number of systems, the amount of data points, and the number of teams accessing the data all continue to grow. Join this session to understand how you can maintain control of your data assets, and harness the power of your data, as you scale through: Automation and DataOps Cataloging data to increase discoverability Ensuring data quality exists at all stages of your data pipelines
• 9:13 pm Keynote: The Power of Data in Tackling Climate Change(Plenary) As data leaders how can we harness the power of data to lead our organisations consciously and with consideration for our natural and our digital environments. Join this session to gain insights into how data is a key element in tackling relevant issues such as climate change and also: Understanding business domain makes a better data professional Real life use case demonstrates the continual need for integrations with various providers Data platforms should be built at scale and securely Integrating warehouse data into business applications, and rising trends
• 9:30 pm Data Democratisation and Measuring the Value of Data and Analytics Programs(Plenary) During this webinar, Levent Ergin & Antoshiny Pushparaj, Data Governance & Privacy Domain Experts for UK & Ireland at Informatica will share their insights on how companies democratise data and measure the value of their Data and Analytics Programs. Data Leaders need to be able to measure the value of their data and analytics program to successfully build advocacy and secure future funding opportunities, as well as meet customer expectations. Join this session to understand how to: Rollout enterprise Data Governance Foundations to enable Data Democratisation Make clean, trusted data available to the business to focus on revenue generating activities Enable data insights to enhance the value propositions for your customers Adhere to Data Ethics, minimise data bias and increase reliability of your AI model for data analytics
• 9:49 pm Panel: Storytelling Through Data to Make Informed Business Decisions(Plenary) Today the business landscape has changed due to COVID-19. In order to stay relevant and remain competitive, organisations must embed a data-driven culture to support operational resilience and revenue generation. This panel will hear insights from leading CDO’s on how data can drive business outcomes and meaningful insights through successful storytelling: Using data and analytics to influence stakeholders at all levels How to shape data into a narrative to help reveal findings and emerging trends How to use data storytelling, data visualisation and dashboards to think differently about its impacts on the wider enterprise? What are the data literacy skills required in a data-driven era?
• 10:17 pm Keynote: How to Shift Your Internal Operating Systems as a Leader(Plenary) High performance is an inside job. What is your current default way of thinking? And does it help or hinder what you’re building as a leader? Ram Castillo will share tools, techniques and frameworks to access empowered, value-aligned behaviour shifts. Learning outcomes from this session include: Why our results start with our mind How to identify behaviours that aren’t serving us What to do when our thoughts and beliefs need to change
• 10:39 pm Keynote: The Art of Leadership(Plenary) Mark Carter is a globally experienced keynote speaker. Drawing on experience working with blue chip brands in over 40 countries, Mark leverages leadership, culture, sales and behavioural science expertise, along with his natural energy, creativity, and innate ability to relate to any audience. Join this dynamic session as we gain valuable insights into how you can develop your leadership skills, focused on: The evolution of leadership theories and traits The impact of EQ (emotional intelligence) on modern day leadership An overview of the five facets of EQ: what they are and aspects to focus on
• 11:02 pm Roundtable - How can CDOs Increase Observability, Cost Savings and Optimisation?(Plenary) Roundtable - How can CDOs Increase Observability, Cost Savings and Optimisation? The past year has been a game-changer for companies worldwide, not only because it demonstrated the importance of digital transformation but it also revealed the crucial need for data observability and data optimisation in disruptive times. Data observability is continually proving to be the key driver of future business models to provide both the optimal consumer experience, and an effective and efficient approach for data teams to manage volumes of enterprise data. Data leaders must rethink their strategy as they leverage the power of modern day technology, data pipelines and advanced analytics. During this edition of the CDO Circle, we will discuss how CDO's can use data observability to uncover data optimisations and cost savings across the organisation. We will unwrap: • Case studies • Discuss recent strategies implemented • Outcomes and success and failure stories Key takeaways of the conversation: • Leveraging tools to optimise cost and performance at scale • Actionable insights on increasing data engineering productivity • Harnessing observability to decrease data related incidents • Increasing data reliability through automated workflows

Speakers

• Gareth Lewis · Head of Production, Factor Creatively driven, strategic thinker, with a passion for story-telling & story-doing. Working to helping business leaders connect through meaningful and engaging experiences.
• Shantanu Lodh · Head of Data Engineering & Data Science, Shawbrook Bank I collaborate with C-suite, other stakeholders to develop organisations’ Data strategy and platform in support of their corporate and digital visions. Being supremely execution focused I enable Product Owners, Product Managers to translate the high-level strategy into specific user-stories. I love to build, lead and scale-out teams rapidly to deliver Data products emanating from these user-stories, ranging from internal dashboards to real-time machine-learning API's. These solutions generate business insights and commercial profitability and can run both on-premises and on public cloud, currently Azure My technical approach, based on my own experiences and industry best-practices, is Data Governance and Data Architecture driven to ensure world class Data Engineering pipelines serve Data Scientists and BI/MI teams. For control, audit and scalability I am a firm believer in robust, code-driven CI/CD and metrics monitoring based on sound engineering principles. A strong background in OO programming, software architecture, DevOps principles and mathematical statistics mean I corroborate commercial acumen with sound design and technical choices for scale and security Communication plays a very important part in my outlook. I help develop and deliver composite communication suites with varied levels of granularity to inform and elucidate internal stakeholders, customers and investors
• Paul Boocock · Head of Engineering (Data Engine), Snowplow Paul Boocock is the Head of Engineering (Data Engine) at Snowplow Analytics. He’s usually found working with engineers to build exciting new features on the Snowplow platform as well helping the Open Source Snowplow community to get the most out of their Snowplow pipelines. When he’s not doing that he spends his time thinking about the Ethics of Data Collection, User Privacy, User Tracking on the Web and Data Modelling. He’s currently studying Data Science, Technology and Innovation MSc at University of Edinburgh.
• Smitha Dunwell · Data Strategy Director, Chaucer Smitha is an experienced strategist with broad experience encompassing digital transformation, data science & AI, and customer experience management. Having spent most of her career working at the intersection of data, technology, and people – she is passionate about building digital strategies, deploying data driven solutions equally bringing people along the journey to deliver business value. Smitha has extensive experience in data consulting for the past 15 years across multiple geographies building and scaling high performance teams, driving innovation and commercialising data products and services.
• Robert Goodwin · Chief Data Officer, MSQ Rob leads MSQ’s global data function, utilising data and technology at the heart of decision making and helping brands unlock its power to drive customer engagement, insight and deliver business effectiveness. His role to date focuses on the end to end of marketing, working across; creative, media, e-commerce, martech, product design, CRM, CX and PR, reshaping MSQ to place data at the centre and starting point for all client and business activity. Rob has built data driven solutions in-house at Sky and British Airways and most recently led the data strategy for Stellantis, BT/EE, O2, Shell and CRUK… to name a few. His work has won IPA Effectiveness Awards, DMA Golds and Data IQ awards, and in 2021 Rob was initiated into the BIMA 100 for his data-driven leadership.

Partners

• Snowplow Snowplow is a behavioural data platform that collects and operationalizes behavioural data, at scale. We empower you and your team to rise above the difficulties of data delivery and organization, enabling you to focus on your data journey.
• Acceldata Acceldata has created the world's first Data Observability Cloud, helping data-driven enterprises achieve operational excellence, innovation agility, and higher returns on data investment. Modern enterprises increasingly rely on embedded analytics and AI systems to power their business operations and decisions. Building, operating, and optimizing these systems, however, can be overwhelming. Traditional monitoring tools, while effective for web applications and microservices, don’t provide sufficient insight into distributed data, processing, and pipelines.
• Informatica Data is changing the world. Data is powering the world's leading innovations – from autonomous vehicles to AI-powered neural networks. At Informatica, we call this Data 4.0—when next-generation intelligent enterprises leverage data to make possible what never existed before. Informatica is the only proven Enterprise Cloud Data Management leader that accelerates data-driven digital transformation. Today’s intelligent enterprise is fueled by data and that data must be properly managed, governed, protected, and utilized – this is where Informatica drives next-generation innovation with its Intelligent Data Platform™. Our Intelligent Data Platform, a complete and modular solution built on a microservices architecture and based on the AI-powered, CLAIRE™ engine, enables companies to fuel innovation, become more agile, and realize new growth opportunities, resulting in intelligent market disruptions. Over the last 25 years, Informatica has helped more than 9,000 customers unleash the power of data, including 85 of the Fortune 100, including every company listed in the top 10.

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