First-party data helps media firms become customer-centric. Insights drive performance. Artificial intelligence redefines the firms’ operating models. Join the smart data revolution
Tie your data strategy to business objectives
Apply data to grow audience, subscriptions and advertising
Build your first-party data muscle to win in the post-cookies era
Speed up data and tech development with strategic collaborations
Build a data-positive culture
Safeguard user privacy and use algorithms responsibly
Accelerate your company’s smart data transformation
In the past decade, news publishers refocused on end consumers and many have rebalanced their disrupted business with reader revenues. The shift of the business model forced changes in technology, data, staffing, operating models and internal cultures. Today, news publishers are discovering that the new resources and skills can be applied to scale audiences, grow direct consumer revenue and reinvent advertising. The new data and tech stack becomes a backbone for digital business — as subscriptions, e-commerce and new advertising services are built on top of the stack. Media firms bet on the first-party user and content data — they register and login users, they mine content assets to derive interests, automate recommendations, create new ad offers. News publishers collaborate with each other like never before — they create login alliances, share business platforms, rent their software as a service, pool analytics teams to gain insights faster and accelerate the growth in digital. Publishers democratise data — the new internal and external data products are blooming, and help teams integrate insights into their daily work. Agile, cross-disciplinary work methods solve the hardest business problems. This master class offers a dive into the new world of smart data for news media. The key question for 2021 is: how do we speed up the transformation to customer-centric?
Speakers
Joanna Balowska
Director, Ad Sales and Product Development
Gazeta Wyborcza
Poland
Tom Betts
Chief Data Officer
Kingfisher
United Kingdom
Markus Franz
Chief Technology Officer
Ippen Digital
Germany
Ariane Grumstad
Head of Analytics
NHST
Norway
Daniel Hallac
Chief Product Officer
Hearst Newspapers
United States
Daniel Knapp
Chief Economist
IAB Europe
Belgium
Kasper Lindskow
Head of Research and Innovation, Ekstra Bladet
JP/Politkens Hus
Denmark
Gareth Lloyd
Head of Data and Analytics
Media 24
South Africa
Curated by
Greg Piechota
Lead, Smart Data InitiativeInternational News Media Association (INMA)
Key themes
What data is the most valuable? And how much data do you really need?
What does it mean for a media organisation to be data-driven? And how to get your organisation there?
How to use data and Artificial Intelligence algorithms responsibly in a privacy-centric world?
What does a Chief Data Officer actually do? And do you need one?
Whom should you consider partnering with to speed up your data and tech development? And how to work with competitors?
How do you build employee- and customer-facing data products? And if built — how to get people to use the data?
What can you do with the first-party data in practice? And how to build the cookie-apocalypse-proof ad products?
How do you set up a growth squad? And what data-informed experiments to consider this year?
What data is the most valuable? And how much data do you really need? What does it mean for a media organisation to be data-driven? And how to get your organisation there? How to use data and Artificial Intelligence algorithms responsibly in a privacy-centric world? What does a Chief Data Officer actually do? And do you need one? Whom should you consider partnering with to speed up your data and tech development? And how to work with competitors? How do you build employee- and customer-facing data products? And if built — how to get people to use the data? What can you do with the first-party data in practice? And how to build the cookie-apocalypse-proof ad products? How do you set up a growth squad? And what data-informed experiments to consider this year?
Supported by
