DataIQ Discussion
06 March 2019
08:45 - 12:30
The Science Museum, London
Location
Groups Entrance, Illuminate Science Museum, Imperial College Road, London, SW7 2DD
Roundtables
As an attendee of the DataIQ Discussion delegates will have the opportunity to attend three different themed roundtables over the course of the day to learn, share and discuss that theme with their industry peers. Many data professionals face similar challenges but find different ways to overcome them - this is an opportunity to exchange those experiences in a conversational environment.
The roundtables operate under Chatham House Rules - nothing that is discussed at DataIQ Discussion will be attributed to any brand or individual - so delegates can feel comfortable and relaxed about their conversations.
This is a one day event and will run between 08:30 and 12:30 approximately.
Why delegates should attend?
- Keep up to speed with the latest trends and challenges posed by a fast-moving industry
- Learn and share with like-minded professionals from a range of industries – what is working, how challenges are being overcome...
- Opportunity for in-depth, facilitated discussion on the key issues which matter most to their business
Who is this event for?
This event is designed for senior data-driven professionals from FTSE 100, large and mid-market organisations. Key participating functions include marketing, insight, analytics, data and CRM. This event is also exclusively for client-side, in-house teams so we will not accept attendance requests from anyone working for a supplier, agency, consultancy or service provider.
Gallery
Here are a selection of photos from the DataIQ Discussion.
Roundtable Topics
Roundtable Discussion Themes
As an attendee of the DataIQ Discussion delegates will have the opportunity to attend three different themed roundtables over the course of the day to learn, share and discuss that theme with their industry peers. Many data professionals face similar challenges but find different ways to overcome them - this is an opportunity to exchange those experiences in a conversational environment.
The roundtables operate under Chatham House Rules - nothing that is discussed at DataIQ Discussion will be attributed to any brand or individual - so delegates can feel comfortable and relaxed about their conversations.
Agenda
08.45 – 09.15 Registration
09.15 – 09.20 Welcome address – David Reed
09.20 – 09.30 Partner Address, Lindsay McEwan, Tealium
09.30 – 10.15 Roundtables – session 1
10.15 – 10.30 Morning Break
10.30 – 11.15 Roundtables – session 2
11.15 – 11.30 Morning Break
11.30 – 12.15 Roundtables – session 3
12.15 – 12.20 Event Close
Topics
Table 1 (Full) - Strategy: Making the business case for data and analytics
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Core principles for winning investment
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Risks to sustaining investment
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Success factors and key metrics
Table 2 (Full) - Strategy: Aligning the data strategy with the business strategy
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Creating sustainable data sources and flows
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Mapping and maintaining the data estate as the business grows
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Using data and analytics for business innovation
Table 3 - Data management: Building a single source of the truth
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How to achieve a unified view of the business and the customer in data
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What creates value for the business from integrated data
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Deploying integrated customer data into customer-facing processes
Table 4 - Filling the Content Gap : Personalisation through automated data at scale
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How harnessing content and data drives great customer experiences
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Where and when to align the right Martech
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What your strategy should be for the hyper-personalised customer journey
Table 5 (Full) - Analytics: Managing expectations, delivering business impact
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Aligning the analytics team with lines of business
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Ensuring analytics gets the credit it deserves when the business benefits
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Setting realistic service levels and turnaround times
Table 6 - Data science: Creating a true data science function
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Understanding the scope, scale and resourcing required
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Managing your unicorns
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Recognising when to push projects - and when to stop them
Table 7 - Data science: Preparing for AI and ML
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What the data foundations need to be
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How to pilot and evaluate AI and ML projects
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How to ensure AI and ML projects can be deployed
Table 8 - Data governance: Building privacy into your organisations’ culture
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Recognising the building blocks of trust
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Deploying governance as a business enabler
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Communicating with customers and being transparent in data use
Table 9 - Data governance: Compliance and ethics
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Aligning data strategies with privacy and regulations
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Creating a culture of data respect and privacy-first processes
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Ethics, culture and data protection impacts on governance
Attendee List
Attendee List
Data leaders from the following companies will be attending DataIQ Discussion 2019:
