Data insight Leaders Summit 2016 (past event)
12 - 13 October, 2016
Contact: 44 (0) 207 036 9451
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Day 2 - Setting Your Division Up For Future Success
08:00 - 08:40 Registration And Networking Coffee Break
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 Interview: How can CDOs exploit the influence they have in transforming analytics in a company and what are the skill sets required from them to succeed in today's demanding data-driven world?
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How has this addition to the C-suite helped to integrate data analytics into corporate DNA?
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The data champion: How to enforce companywide adoption of data to drive the best business results
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How is the CDO role working to ensure data remains a C-suite issue for successful business execution in the long term??
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CDO full requirement set: What is the full scope of the role and remit of responsibilities when it comes to facilitating end-to-end data processes at an enterprise wide level?
09:20 - 10:10 Oxford Style Debate: Establishing an optimum operating model-Should data analytics teams be centralised or decentralised in an organisation to reap their full potential?
Susan Wegner Vice President Smart Data Analytics & Communication, Big Data, Telekom Inno Deutsche Telekom
Bertrand Hassani Global Head of Research and Innovation Banco Santander
Matthew Doubleday Lead Data Scientist Shop Direct
Dan Kellett Director of Data Science Capital One
Moderator:
Paul Laughlin Founder and Managing Director Laughlin Consultancy
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Should data analytics be centralised or decentralised to reap optimum business benefits?
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Does the output of independent centralised data functions differ from those that sit within the business?
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Lowering corporate restrictions: Does a centralised data function really have less corporate restrictions or do they face the same level of push back?
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Will having your data function at the top of the company hierarchy put you in a better place to create a holistic overview of business needs, or will you still face the same silo mentality challenges?
Susan Wegner
Vice President Smart Data Analytics & Communication, Big Data, Telekom InnoDeutsche Telekom
10:10 - 10:40 Panel: Data as a service model-Which companies will succeed in packaging data-streams as a service to create a new business model?
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Turning data on its head: Examining the possibilities of using company data to generate additional revenue streams
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Data Monetisation: How to turn your data into its own business with multiple product packages
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How to build a winning business model that encourages company data adoption rates
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How will the introduction of new privacy requirements impact your data governance practices?
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What are the practical measures you must employ when packaging your data-streams as a service to remain compliant?
10:40 - 11:00 Inspirational Guest Speaker: Mastering change management-How to orchestrate strategic change in a company’s daily decision making madness to achieve enterprise wide adoption
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Talking their language: Using jargon-free and effective communication styles to increase engagement with your audiences
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Addressing push back: How can you successfully sell the value proposition of the strategic change required to all stakeholder profiles?
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Inspiring your stakeholders: How to ignite enthusiasm around new projects to drive change and further infiltrate analytics into their decision making processes
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Promoting effective internal PR: How to implement a persuasive narrative to facilitate a paradigm shift
11:00 - 11:45 Morning Networking Break
TRACK A: Sales & Marketing
11:45 - 12:30 Case Study Revolution: How can you offer your marketing and sales functions actionable insights that can help them deliver the right message to the right customer at the right time?-
How to best extract actionable insights from data to support your sales and marketing teams strategically and tactically
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Digital data: How this wealth of information can help with sales, marketing and customer experience
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Supporting a data-driven marketing strategy: How understanding marketing effectiveness via analytics can help your marketing and sales function better leverage the most effective marketing channels
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How the adoption of actionable intelligence by sales and marketing teams have yielded results in terms of actual sales revenue growth
TRACK B : Research & Development
11:45 - 12:30 Synergy Workshop: How to exploit data insights to gain a real-time view on where the best product and service innovation opportunities exist-
How can you best implement data processes that give your research and development function a competitive advantage?
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What are the best approaches to data analytics to help research and development departments’ foster innovation?
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How can you use your data sets to identify which new products and services innovations will be the most successful?
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How can you exploit your customer data to identify new market trends on a real time basis?
TRACK C: Operational Excellence
11:45 - 12:30 Synergy Workshop: Streamlining internal operations: Working with real time advanced analytics for a more sustainable product development process-
How can real-time analytics optimize your in-house operations by providing live results at every stage?
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How can you best leverage external and internal data sources to establish product sustainability and increase profitability for the business bottom line?
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How can working with live data help to refine your product offering and reduce operating costs by increasing market brand equity?
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How can you best work with real-time analytics to provide greater value for the organisation and benefit the wider environment, improving company reputation?
TRACK A: Sales & Marketing
12:30 - 13:15 Audience analytics at scale: How to overcome challenges in automation- How can companies with B2B products better use data in their client narratives during the sales cycle, to provide proof of ROI and facts and figures to support the sale?
- Off the shelf tools vs building in-house: How do you best provide data-based customer service at scale?
- How do you determine whether to make insights a self-service as part of your product?
- This talk examines the technical architecture and challenges required for different scales of automation, offering some learnings from automation projects at LinkedIn with large scale data systems.
TRACK B : Research & Development
12:30 - 13:15 TRACK B ContinuedTRACK C: Operational Excellence
12:30 - 13:15 TRACK C Continued13:15 - 14:15 Networking Lunch
14:15 - 14:55 Panel Revolution: Creating the Jack of all data trades: How can you best build a team that covers the breadth and depth of the diverse skillsets required by a data scientist?
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Overcoming skill deficiencies: How do you sift through the over-sellers to source real data talent?
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Tackling the data scientist shortage head on: How can you train your team with the right skills to fill the unicorn gap?
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Integrating team talent: How do you transfer individual skills in commerciality, technological knowledge and communication to make critical decisions for the business?
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Establishing the perfect hybrid: How do you build a team that ticks the data science box whilst fully supporting your business?
14:55 - 15:15 Case Study: Hiring right-How to best leverage data science university programmes to enhance your recruitment process
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How are universities tailoring new data science programmes to support the talent shortfall?
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Promoting your company as a data science innovation hub: How do you build and maintain better partnerships with academia to attract fresh data talent?
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Making the right match: How do you coordinate your talent needs with academic initiatives to enhance your recruitment success?
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Creating appeal: How to build training programmes that appeal to graduates to fill the data science skills gaps in your team
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How can you collaborate with universities to increase business acumen in current graduates to improve the success rate of the future generation of data scientists?
15:15 - 15:35 Case Study: Training right-How to implement internal training programmes that equip your staff with the varied data science skill sets currently absent in the workplace
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Data science boot camp: What is the best approach for incorporating in-house training programmes for current employees?
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How do you best scan your current data skill base to identify gaps and increase team capabilities?
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Building a data science curriculum: How do you best train for hard and soft skill requirements to fit the unicorn bill?
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Sourcing internal talent: How do you successfully identify who is ready for a new skill set progression plan?
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Making an impact: How to do ensure new recruits truly add a new dimension to the team?
15:35 - 16:15 Crystal Ball Outlook Panel: A glimpse into the future -What are the trends we should expect to see in the big data ecosystem that will transform the data insights function of 2025?
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Operating in a data-driven world: Where are the likely next sources of big data?
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Which new technologies are most likely to shake up the competitive dynamics in the big data ecosystem?
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How will new technological advancements shape your big data architecture?
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What skillsets will replace the current high in demand data science talent shortage?
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How will new entrants born in the digital era disrupt current competitive pressures in particular verticals?
Susan Wegner
Vice President Smart Data Analytics & Communication, Big Data, Telekom InnoDeutsche Telekom
