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Bonnier News: Supporting Sweden's press freedom with accessible, actionable data insights

Google Cloud results
  • Reduces the time required to access data from six months to seconds by building a user-friendly data pipeline

  • Surpasses data democratization goals by 4,900% by expanding data access to more users

  • Optimizes customer marketing campaigns to improve login rates by 76%

By migrating its data management and processing to Google Cloud, Bonnier News democratized access to its data platform, increased access from six users to more than 200, and implemented new data-driven solutions across the organization.

As part of its mission to empower free speech and reinforce democratic values, Bonnier News employs more than 2,500 journalists over more than 200 brands and titles to report, investigate, and explain relevant issues. The company has its roots in family owned Bonnier Group, founded in 1804 (in Copenhagen), but as it's grown to include a wide network of other magazines, newspapers, and media companies, it's expanded into more than 12 countries.

This international presence reaches more than six million readers per day, and Bonnier News wants to find more ways to provide these readers with the best possible experience. "Before moving from print to digital, it wasn't essential for us to have consistent technology platforms across our businesses," says Lina Hallmer, Chief Technology Officer at Bonnier News. "Today though, we need to design products and services that offer our users the best content for them at the right time. This requires us to evaluate which technologies are helping us achieve our mission."

Adopting technology to reinforce company goals

We rely on data to understand our customers and their needs, and we wanted that data to be part of every decision we made. By migrating to Google Cloud, we were able to remove technical barriers to get our data into the hands of users across the company.

David Hatschek

Head of Development, Bonnier News

The company's existing infrastructure was built and managed in house to retain control over its own technologies. While this was effective, the company wanted to reduce time spent simply maintaining its infrastructure and swapping out hard drives. "We realized we needed a more easily scalable infrastructure to support our mission," says Fabian Seitz, Head of Digital Platforms at Bonnier News. "This includes being able to handle surges in readership due to breaking news."

As it began its technology journey, Bonnier News implemented Google Ads to better provide readers with relevant content. This led the company to a larger conversation with the Google News Initiative, and eventually to Google Cloud, as it explored more ways to improve its digital infrastructure.

As part of these larger infrastructure changes, Bonnier News wanted to focus on unifying its tech stack. Databases, data models, and legacy hardware from years of acquisitions created silos that made it difficult to access – and even harder to analyze – data consistently. "We had a data platform, but it was underused because of a bottleneck," says David Hatschek, Head of Development at Bonnier News. Users had to know Python or Scala to use the platform, which meant access was limited to six data engineers across the organization.

Because of this, other teams within the company, such as sales and marketing, had to wait up to six months for data reporting requests. "We rely on data to understand our customers and their needs, and we wanted that data to be part of every decision we made," adds Hatschek. "By migrating to Google Cloud, we were able to remove technical barriers to get our data into the hands of users across the company." With a plan ready, Bonnier was able to make the move to a new data platform in just six months.

Democratizing data to support a collaborative, scalable team

During its migration, Bonnier News's focus remained on building a more data-driven business model that was powered by employees throughout the organization. "During the transition to Google Cloud, we engaged hundreds of colleagues in development, analytics, sales, marketing, and more," Hallmer shares. "Such widespread involvement and collaboration could only be realized thanks to the managed services from Google, since we didn't have to spend time managing technical resources."

Bonnier News has built a new data ecosystem with BigQuery that gives more than 200 internal users direct access to data pipelines needed to improve their work. "We're excited by the creativity that comes out when specialists in their respective fields are able to solve data problems on their own," Hatschek says. "Because of that, we have a collaborative space where everyone contributes information and can discuss what data is available and how we've used it to solve problems before."

With Cloud Run, we don't have to deploy servers or review capacities. We can just act. If big news breaks, we can be sure a reader that comes to one of our sites is seeing the most up-to-date version of the page with current, breaking news because we can scale.

Fabian Seitz

Head of Digital Platforms, Bonnier News

This collaboration was initially projected to produce three data pipelines built by teams other than the data team and 10 pull requests for new data. The actual result was 4,900% greater than the goal with 150 pipelines and 160 pull requests since launch.

In addition to data management, the team has implemented Cloud Run to more easily deploy applications. "With Cloud Run, we don't have to deploy servers or review capacities. We can just act," Seitz shares. "In the past, we had to be prepared to spin up additional servers manually to accommodate traffic increases. Now, if big news breaks, we can be sure a reader that comes to one of our sites is seeing the most up-to-date version of the page with current, breaking news because we can scale."

Turning data insights into reader benefits

Our local news platform started out managing two local newspapers, and now we have around 45. Because our cloud-based infrastructure is so flexible, even though we've grown by more than 20x, our costs haven't to the same degree.

Fabian Seitz

Head of Digital Platforms, Bonnier News

With growing readership numbers and companies joining the Bonnier News organization regularly, the company's datasets continue to grow as well. With this data more easily ingested, stored, and accessible, Bonnier can optimize its internal teams' processes and ultimately deliver a better reader experience. "Since we have a single source of truth for our data, we can find answers to how many readers appear interested in a specific topic and create new content for popular subjects," Hatschek says. "We can also analyze behaviors and serve content that's personalized to an individual's preferences."

Beyond user behavior, the company has developed smarter marketing automation and ad sales segmentation, saved data engineers time, decommissioned legacy systems to save on costs, and overall reduced the company's time to market for new projects.

One of these projects involved creating more targeted messaging to increase user engagement and login rates. The team was able to review data from Google Analytics in BigQuery, analyze it using Looker and Vertex AI, and gain a clearer understanding of which messaging campaigns had performed well in the past. The new messages succeeded in driving 76% of all visitors who saw them to log into their accounts.

With a scalable, flexible infrastructure in place, the organization has been able to consolidate its tech stack, reduce costs, and continue to grow at the same time. "Our local news platform started out managing two local newspapers, and now we have around 45," says Seitz. "Because our cloud-based infrastructure is so flexible, even though we've grown by more than 20x, our costs haven't to the same degree." As the number of brands under the Bonnier News umbrella grows beyond 45, the business is equipped to integrate new companies' tech stacks into its own infrastructure quickly and easily.

Optimizing content faster with generative AI

With a more robust data environment, Bonnier News can use that data to inform generative AI tools. For the company's journalists, this has included leveraging generative AI features to help draft headlines and optimize SEO articles. "We're always looking for new ways to support our internal users with our technology," Hatschek shared. "With generative AI, our teams can find more information hidden in our data and help us better meet our readers' needs."

Bonnier News's next goal is to embed generative AI tools into additional internal team processes, including HR and IT workflows to give back even more time to providing readers across Europe with personalized breaking news.

Since we have a single source of truth for our data, we can find answers to how many readers appear interested in a specific topic and create new content for popular subjects. We can also analyze behaviors and remove content that users aren't interested in.

David Hatschek

Head of Development, Bonnier News

Bonnier News is the leading news media company in the Nordic region, with a turnover of SEK 10.5 billion and 6,700 employees, of which approximately 2,000 are journalists. The company — which today has three different business areas — has its core in the daily newspapers Dagens Nyheter, Expressen, and Dagens industri and has been in a strong growth phase in recent years.

Industry: Media and Entertainment

Location: Sweden

Products: Google Cloud, BigQuery, Cloud Run, Cloud SQL, Cloud Storage, Looker, Vertex AI, Google Workspace

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