CDO Live SEA June Edition

Overview

Faced with a constantly evolving business landscape and unprecedented levels of uncertainty, it’s more vital than ever that data and analytics leaders such as the chief data officer and chief analytics officer (CDO and CAO) forge new paths to enable a data-and-analytics-centric culture within their organizations.

Data and analytics leaders must be able to tie data and analytics strategy to business outcomes and promote the adoption of technologies, such as artificial intelligence (AI), while creating a resilient culture that accelerates change, and where data literacy, digital trust, governance and data-driven critical thinking are pervasive.

What to expect

• Hours
• Live Interactions 1:1
• Attendees 200+
• Sessions

What we will cover

• Driving Cultural Change Changing the culture of workers, from knowledge experts and executives through to operators and administrators is always difficult. But driving the adoption of Artificial Intelligence, Machine Learning and Analytics means embracing a new paradigm.
• Data Management & Governance To achieve data that is trusted, easily accessed and available to everyone requires a data governance framework, used to guide a data-driven culture throughout the organisation.
• Ensuring Stakeholder Buy-in Obtaining and maintaining the buy-in of a number of stakeholders from various business units can be challenging but is essential for data leaders to understand. Whose requirements have the greatest priority? Where will the funding come from? How will the roadmap be planned? These and other fundamental questions challenge organisations grappling with major data and analytics programs.
• Focus On The True Value Of Data and Accessibility How to ensure we are connecting to other data sets and make them readily accessible for decision processes or insights generation.

Speakers

• Gareth Lewis · Content Creator, Factor Creatively driven, strategic thinker, with a passion for story-telling & story-doing. Working to helping business leaders connect through meaningful and engaging experiences.
• Ben Wightman · Head of Data and Analytics, Wunderman Thompson Singapore Data-driven marketing thought leader Ben Wightman was most recently from direct marketing creative agency Wunderman Thompson where he was Head of Marketing Data and Analytics. Having started his tech marcom career in Silicon Valley, Ben has more than 15 years of experience, including work with Cisco, HP, Symantec, Citrix, BAE Systems and .F5. An MBA from the world's leading marketing graduate program at the Kellogg School of Management, pivoted his career further to digital demand generation and post-graduation roles as APJ CSD, strategy and tech practice lead for B2B agency gyro. Ben built the agency's channel and BDR sales enablement business which led, in part to it's acquisition, by Dentsu. Post-acquisition, Ben was elevated into the parent company as Head of Data Strategy where he doubled revenue and led martech partnership engagements with Salesforce, Adobe, Facebook and Google, winning the latter's first APAC agency network hackathon.
• John Funtanilla · Advanced Analytics Lead, Nestle –dubbed Philippines’ Strongest Data Scientist, is a competitive strength athlete and analytics professional. He is passionate about democratising data, demystifying analytics, and enabling non-technical stakeholders in leveraging data to make informed business decisions. Prior to joining Nestle, he was a Senior Data Scientist for AXA where he developed a model that predicted non-payment of policies with 94% accuracy. The enabled the loyalty team to recover 4.5 times as much in premium collections versus the control group. John is currently supporting Nestle Philippines’ Digital transformation initiatives and is in the forefront of developing tools and models that are used for sales forecasting, pricing optimisation, and marketing mix modelling. He most recently won Nestle’s Global Consumer Market Insights award for his team’s work in predicting sales volume amidst the volatility brought by the COV-19 pandemic.
• Kirill Odintsov · Head of Data Science, Home Credit Indonesia Kirill is the Head of Data Science of Home Credit Indonesia with more than 7 years of proven experience in building and leading a team of data enthusiasts. He is skilled in Statistical Modeling, Predictive Analytics, Predictive Modeling, Text Mining, and Risk Management. He is a strong professional with a master's degree in Probability Mathematical Statistics and Econometrics from Charles University in Prague.
• Ujjyaini Mitra · Chief Data Officer, Zee Entertainment Enterprises Limited As Chief Data Officer, she is building Centre of Excellence for ZEE spanning across Broadcast, Digital, Movies and Music – both Domestic & Global businesses. Her works spans across Business Intelligence, Business Analytics, Predictive and Prescriptive Modelling, Artificial Intelligence, Market Research & Digital lab and Large data infrastructure to build Customer 360 with Data governance. Ujjyaini is working to embed science in the field of Art – in taking content decisions, concept generation, production to postproduction, hyper-personalised communication, Contextual Ad serving through Artificial Intelligence and Neuro Science. She is leading the team that collectively serves the single source of truth and answers Who, What, How and Why of the Business strategies. Ujjyaini is a Senior Executive with 14 years of rich Leadership experience in establishing Data as a Culture at large organizations, successfully building and leading Centre of Excellence through creative methods, leading business strategies through data driven actionable Insights. She holds a postgraduate degree Quantitative Econometrics, Statistics and Computer Science from ISI, Kolkata.
• Lu Luc · Chief Data Officer, One Mount Group Data & analytics leader with experience across multiple industries, in multiple geographies, with consulting and top tier companies such as EY, SAP, Commonwealth Bank Australia and now One Mount Group. Passionate about delivering business and customer value through building high performing data engineering, data management, decision intelligence, AI/ML capabilities and teams.
• Chris Day · Director, APAC Sales Engineering, Denodo

Partners

• Dataiku Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies. Customers like Unilever, GE, and Comcast use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
• Denodo Denodo is the leader in data virtualization – providing unmatched performance, unified access to the broadest range of enterprise, big data, cloud and unstructured sources, and the most agile data services provisioning and governance – at less than half the cost of traditional data integration. Denodo’s customers have gained significant business agility and ROI by creating a unified virtual data layer that serves strategic enterprise-wide information needs for agile BI, big data analytics, web and cloud integration, single-view applications, and SOA data services across every major industry. Denodo Platform offers the broadest access to structured and unstructured data residing in enterprise, big data, and cloud sources, in both batch and real-time, exceeding the performance needs of data-intensive organizations for both analytical and operational use cases, delivered in a much shorter timeframe than traditional data integration tools. The Denodo Platform drives agility, faster time to market, increased customer engagement from single view of customer and operational efficiencies from real-time business intelligence and self-serviceability. Founded in 1999, Denodo is privately held, with main offices in Palo Alto (CA), Madrid (Spain), Munich (Germany) and London (UK). For more information visit www.denodo.com, follow Denodo via twitter: @denodo or contact us to request an evaluation copy at info@denodo.com.
• Snowflake Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.
• Qlik Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. Qlik provides an end-to-end, real-time data integration and analytics cloud platform to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik does business in more than 100 countries and serves over 50,000 customers around the world.

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