Data insight Leaders Summit 2016 (past event)
12 - 13 October, 2016
Contact: 44 (0) 207 036 9451
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Day 1 - Making Analytics A Game Changer Today
Registration And Networking Coffee
08:00 - 08:40 Registration And Networking CoffeeWomen In Data Insights Breakfast
08:00 - 08:40 Women In Data Insights Breakfast: How can the data analytics industry better attract, develop and retain top female talent?This networking breakfast gives women in the data insights industry the opportunity to discuss how to best eliminate gender related barriers and successfully climb the corporate ladder. The networking breakfast is limited to a maximum of 15 delegates to promote an open and interactive discussion.
Gloria Macias-Lizaso Miranda
Advanced Analytics PartnerMcKinsey & Company
08:40 - 08:50 Welcome Address
Lucy Bradley, Editorial Director, Worldwide Business Research
08:50 - 09:00 Chairperson’s Opening Remarks
09:00 - 09:20 Board Keynote: How to navigate the analytic journey
- How to acquire and retain the right talent pool of Data Scientist to get the most out of your data
- How can you demonstrate clear links between key data projects and business objectives to get the genuine backing of the board?
- The importance of understanding the analytic value chain to promote data analytics across the business
- What is the best approach for demonstrating the commercial value of data projects when it comes to adding to the business bottom line?
- How to drive a cultural change towards data adoption and the importance of communicating "humility"
Olivier van Parys
Head of Advanced Analytics,Bank of Ireland
09:20 - 09:40 Inspirational Keynote: Thriving in today’s data driven world- How to transform big data into cutting edge actionable insights that change the game
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Data, insight, action: How to turn your data into actionable insight that allows your business to stand out in a competitive business landscape
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Machine learning and advanced analytics: How can you extract actionable intelligence from advanced analytical and machine learning techniques to make a positive impact on the business?
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Setting science up for success: How to structure work for teams of scientists to produce game changing insights
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Reimagining the possibilities: How to exploit data-driven insights to identify strategic areas of growth that will allow you to improve future performance
09:40 - 10:40 Panel Revolution: How do you collaborate with your CEO to create a data and analytics-driven organisation?
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Starting at the top: How can you support your senior leaders to navigate data and analytics-driven business opportunities?
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At an individual level: What is your personal role in achieving analytics enabled change?
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Putting the pieces together: How to integrate analytics into your organisation's culture, operations, and technology
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Unlocking the potential: How to work together to embed new analytics capabilities (e.g. machine learning) in your organisation
Dr. Markus Rotter
Head of Network AnalyticsVodafone Germany
10:40 - 11:00 Case Study: From concept to a big data project: How to accelerate your data projects from paper to reality and build a strong foundation to facilitate the delivery of actionable intelligence to the business
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Implementing governance to create common goals and drive a single team approach: How to define a clear data strategy for large global business transformation prorgammes that incorporates overall company objectives
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Increasing speed to delivery: How do you equip your team to increase the ratio of success vs failures rates to deliver on time and in full?
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How to move towards a robust ‘business as usual’ data function: Building an enterprise-wide data function that adds true value to company decision making processes
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What could be next?: How could you facilitate the exploitation of your data and to make an impact on the business bottom line?
11:00 - 11:45 Morning Networking Break
TRACK A: Sales & Marketing
11:45 - 12:30 Case Study Revolution: Achieving a 360 view across all channels - How can you extract actionable intelligence across disparate sources of data and insight, to drive your sales and marketing efforts?-
Breaking data silos: How can you connect the dots across different sources of data and insight – internal and external, across different organisational groups and functions?
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Shifting from data management to business insight: How can we reduce time on data management and manual report production, to create headroom for more real insight and analysis work?
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Separating signal from noise: How to better communicate and visualise insights, to focus attention on what is important, has changed vs. expectations, etc.?
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Getting it into the right hands: How can you effectively deliver the relevant data and insights throughout the organisation, from front-line to C-suite?
Kevin Roche
Head of European Digital Strategy, Analytics and InnovationCoca Cola Enterprises
TRACK B: Research & Development
11:45 - 12:30 Case Study Revolution: Adopting a data-driven approach to transforming your business -How to exploit data insights to enhance your product and service offering and increase their market appeal-
Defining your competitive advantage: How do you best use consumer data to work out what products and services should make up your core business offering?
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How can you leverage real-time analytics and A/B testing to improve your service offering and boost consumer conversion rates?
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Taking a customer-centric approach: How can you better use your data to increase service effectiveness and customer experience for your business?
TRACK C: Security Intelligence
11:45 - 12:30 Creative Boardroom: Playing detective to reduce the substantial costs of fraud- How to extract fraud intelligence to help your business increase its defences against new security threats-
How to use data analytics to recognise patterns of malicious behaviour
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Identifying the conspirer: To what extent can you use data analytics to define appropriate and inappropriate behaviour profiles?
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To what extent can big data analytics help to detect fraudulent activities quicker?
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How do you best correlate data from multiple sources to detect anomalies and suspicious activities?
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What are the best ways to transform your data insights into actionable security intelligence?
TRACK A: Sales & Marketing
12:30 - 12:50 The secret to unlocking the massive value of big data: How to leverage ‘Insights Generation Process’ to transform your entire customer engagement model and perceptions of your brand to deliver dramatic results- How to keep up with the speed of change taking place in customer insights generation from transactional and external data
- How to go beyond data science and segmentation to leverage customer insights
- How to use customer insights to transform your entire customer engagement model and customers perception of the brand
- Sharing key insights from a transformation story of a hugely successful and growing UAE based fashion brand-how industrialising the ‘Customer Value Management’ process delivered dramatic results
TRACK B: Research & Development
12:30 - 12:50 Data Science as I see it: How to leverage data analytics to assist the research and development process- How can intelligence from data insights be used to help increase disease prevention?
- How to use your data sets to further your research and achieve disease interception
- What is the full potential for advanced analytics in increasing research and development processes in genomics?
- Exploring the future of data science and the role of data scientists in the field of research and development
TRACK C: Security Intelligence
12:30 - 12:50 Creative Boardroom: Keeping regulations in mind when working with various kinds of data sources: Does your tech stack meet the legal requirements when collecting and combining from numerous data sources?- Introduction to Nordea’s big data platform and information architecture
- How can you best work with the rigid nature of regulations to get the most out of your data for use-cases including analytics and machine learning modelling?
- Ensuring data governance: What is the best approach to controlling who has access to data-driven results across the business?
- Tracking data metrics: How to ensure that data quality levels remain high as it is shared across the business?
Peter Sergio Larsen
Chief Technology Specialist | Big Data | Data Science | Robotics | ProcessNordea
TRACK A: Sales & Marketing
12:50 - 13:15 Case Study Revolution: Creating an enhanced consumer experience -How can you leverage social data modelling as part of your customer life cycle to make your business stand out in a crowded market?-
Smarter customer service: How to extract insights from data to help your sales and marketing functions create targeted campaigns to improve customer retention and brand loyalty
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How can you support your sales and marketing function with competitive intelligence that will guide them on how to make their message stand out?
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It’s time to get personal: How to better extract data insights to allow your business to forge stronger customer relationships
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How to leverage big data analytics to identify which customers are your most valuable and allocate increased focus on them
TRACK B: Research & Development
12:50 - 13:15 TRACK B CONTINUEDTRACK C: Security Intelligence
12:50 - 13:15 TRACK C CONTINUED13:15 - 14:25 Networking Lunch
TRACK A: Bringing The Data Ecosystem Together
14:25 - 15:05 Oxford Style Debate: Is it possible to build a big data environment that delivers a competitive edge with in-house expertise alone or is it essential to work with a third party provider?- Is it possible to build a big data environment with zero input from third party providers?
- Do the pros of building a big data environment with in-house expertise alone outweigh the cons?
- Does building or buying give you the competitive edge?
- Is the cost of working with third party providers justified based on the time it requires to build in-house?
Peter Sergio Larsen
Chief Technology Specialist | Big Data | Data Science | Robotics | ProcessNordea
TRACK B: Building The Infrastructure Foundation
14:25 - 15:05 Case Study Revolution: Introducing machine learning at the foundation of your data sets: Ascertaining the validity of consumer data to increase the accuracy of fraud detection- How can machine learning algorithms help in establishing data integrity?
- How to spot inconsistencies and inaccuracies in data sets to ensure you are working with 'true' data
- How to leverage machine learning to detect abnormalities in your customer data sets
TRACK C: Achieving Advanced Analytics Capabilities
14:25 - 15:05 Synergy Workshop: Building a sophisticated analytics hub- How to identify the right mix of platforms and best in breed providers that will allow you to deliver the actionable insights your business needs-
Fit for purpose: How to master the trick of sourcing analytics technology that supports your specific business needs
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Getting past the tech hype: How do you prioritise all the platforms out there based on what you actually need?
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No silver bullet: How do you assess complimentary technologies that will work in harmony to better facilitate your analytics capabilities?
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Embedding the intelligence: How can you leverage new analytics solutions that allow your business users to easily get the information they need as autonomous agents?
TRACK A: Bringing The Data Ecosystem Together
15:05 - 15:25 Case study: How to leverage the latest advances in Artificial Intelligence to optimize and automate human intensive business processes and operations-
How are advancements in new solutions cutting down the manual workload for companies and increasing data project success rates?
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Achieving deeper data insights: Exploring how deep learning can enable businesses to tap into increased levels of intelligence from big data
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Can businesses fully rely on technologies alone to generate data insights or is human intervention required?
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How do the skillsets of the data insights team need to evolve in light of new technological advancements?
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Chatbot Maturity: How much automation can conversational machines deliver to businesses?
TRACK B: Building The Infrastructure Foundation
15:05 - 15:25 Session ContinuedTRACK C: Achieving Advanced Analytics Capabilities
15:05 - 15:25 TRACK C Continued15:25 - 15:55 Afternoon Networking Break
15:55 - 16:15 Inspirational Keynote: Lessons learned from companies born in the analytics era- What are the people, processes and technology you need to build an environment for advanced analytics?
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Building your foundation: How to best organise your internal processes to accelerate the success rates of your experiments
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Exploiting big data: What are the best ways to work with the volume, variety and velocity of big data to unleash real business value?
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Increasing agility: How to quickly progress data projects from concept to reality
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Winning the data race: How to exploit real-time analytics to offer your business the live intelligence capabilities they want
16:15 - 16:55 Panel: Creating a ‘data in your DNA’ culture: What are the critical success factors for transforming company-wide attitudes towards the adoption of data analytics?
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Defining your data road map: Examining the best approach for creating a culture of analytics from the bottom-up
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Looking at the bigger picture: How do you shift mind sets to view data analytics as a long term vs short term fix?
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Building alliances: How to build trust in relationships across the business to gain the cooperation you need for data projects to succeed
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Creating a circle of influencers: How do you recruit internal ambassadors to sell your data project’s benefits for you?
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Building a foundation of analytics in your culture: How do you push the benefits of key data experiments to spur engagement amongst employees and as a result speed up the delivery?
16:55 - 17:15 Case Study: Power to the People: Democratizing big data pipelines and getting data into everyone's hands to achieve both scale and harmony
- Becoming really data driven means opening up the data and insights machine so that everyone in the organisation is empowered to create and consume rich data and insights. This is a tough problem at scale, spanning technology, skills, governance and culture, but the promise is a flexible data asset which delivers value right across the organisation.
- Achieving true data democracy: How to deliver on the ultimate promise of the data revolution
- How to harness large scale processes whilst avoiding data chaos
- How to balance the tendency to centralise vs decentralise
- How to accommodate different use-cases and applications while maintaining a single version of the truth
- How to move fast and stay agile in the rapid mobile economy
17:15 - 17:50 Dragons’ Den: Leveraging new and innovative solutions-Of the many new technologies entering the big data ecosystem which are best to invest in to achieve greater business impact?
Join our data dragons and assess the latest innovations as start-up companies pitch their tech in a bid to win first place. Listen up as the dragons review the technologies’ benefits to your business, predict their future success and deliver their verdicts. The ultimate decision is in your hands though, as the audience get to vote for their favourite. Will you find the next big thing?
Jeremy King
CEO & FounderAttest