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It’s not enough to have the right technology and the right real-time data and the right staff to analyse and compartmentalise information. To make data work for media companies requires a new creativity. In this deep dive Smart Data Summit, learn practical cases of how media companies are making actionable real-time data to change business outcomes: subscription sales and retention, advertising sales, audience engagement, and more.

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Agenda

Wednesday

May 15

7:30 a.m.-6:00 p.m.
Registration Desk

If you have not already done so, pick up your registration badge and print programme on the second floor of the Westin Times Square and take a four-minute walk to the Smart Data Summit at Thomson Reuters. INMA World Congress participants only need one badge for the full week; no need for a second badge.

Location:
Westin Hotel Times Square
270 West 43rd Street
E-Walk, 2nd Floor (immediately past reception desk)

1:30 p.m.
Welcome Coffee

Location:
Thomson Reuters
3 Times Square, 30th Floor

2:00 p.m.
Welcome and Overview

Chief Executive Officer, Lifeblue

Nicki Purcell

2:05 p.m.
The Role of Data Within Torstar’s Transformation

Transitioning a legacy media company to a data-fueled enterprise is challenging for publishers worldwide. In Canada, Torstar has rapidly implemented data centralisation, added data scientists and engineers, built out the data infrastructure to editorial and marketing teams, and is now using first-party data for advertising sales – all with journalism and data at the core of its strategy. All the while, Torstar is committed to democratising access to data as it moves toward its vision of personalisation on the content and advertising sides. In this presentation, learn more about this positive 2-year-old journey and potential lessons for publishers looking to perfect their own data transformation.

Chief Data Officer, Torstar

John Souleles

2:40 p.m.
How 24sata Abandoned Gut Feeling and Became Data-Obsessed Organisation

Croatian biggest news publisher was an old-school newspaper organisation where 'mad men' pulled all the decision strings, relying on 'senior experience.' Today they are a fully digital operation heavily using data and analytics in all decisions, on all levels of the organisation. How did they transform, and why they are about to almost fully automatise and personalise their product with their own AI solution?

CEO, 24sata

Boris Trupcevic

3:15 p.m.
Missed Connections: Identifying Opportunities to Foster Reader Loyalty

Chartbeat tracks the behaviours of readers around the world to understand how they engage with content across different news and media experiences. In examining the data, there are specific moments that have the potential to push those readers further down the path to loyalty. This presentation will highlight three key areas where publishers may be missing opportunities to encourage readers to find the best content, read more of that content, and potentially subscribe.

Chief of Product, Engineering, and Data Science, Chartbeat

Joshua Schwartz

3:50 p.m.
How Singapore Press Holdings Uses AI to Increase Reader Engagement

Did you know that angry headlines are most likely to lead to article clicks? Singapore Press Holdings has been experimenting with AI tools to recommend content and optimise headlines in order to increase engagement with articles and stickiness on its Web site. Working with both start-ups and government-funded research agencies, learn more about SPH’s successes and the challenges and path ahead.

Head, Media Strategy and Analytics, Singapore Press Holdings

Fiona Chan

4:35 p.m.
The Business Applications of Data: NZZ’s Push for Personalisation

NZZ (Neue Zürcher Zeitung) is a German-language newspaper of record in Switzerland known for pushing the edge in data and how to smartly apply data toward a personalised future. In 2018, NZZ grew its subscriber base thanks to designing a product portfolio geared towards customer needs and increasing personalisation throughout the customer journey. In this presentation, learn the full range of business applications of data for NZZ: content distribution, dynamic paygate, data products, re-thinking the news stream as a “personal news companion,” and more.

Head of Portfolio Management, NZZ

Daniel Ammann

5:05 p.m.-5:15 p.m.
Takeaways and Wrap-Up
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