Analytics & Data Science

Explore analytics strategies, IoT, machine learning and more at the Analytics and Data Science virtual forum. This virtual networking event features insightful discussions with esteemed speakers, and gathers top Swedish business executives who are driving digital transformations and economic opportunities through data and analytics. Showcase your solutions and ideas with C-suites, influential leaders and top decision makers through exclusive peer-to-peer online meetings, and build strategic business partnerships.

October 16, 2020


Speakers & Chairperson

Andras Valko

Chief Data Science Officer
SBAB Bank AB (publ)

Robert Valton

Director Advanced Analytics & AI
Volvo Group

Rickard Hansen

VP Data Driven Services Industrial Technique
Atlas Copco AB

Fredrik Holmgren

Regional Vice President Nordics
Tableau Software Nordics

Johanna Strande

Head of Analytics and Insight

Jamal Al-Baldawi

System Manager Bi and Reporting
SF Studios AB

Sofie Perslow

Head of Tech & Analytics
Aller Media AB

Event Attendees Include

Aller Media AB
Head of Tech & Analytics
SBAB Bank AB (publ)
Chief Data Science Officer
Svenska McDonald's AB
Consumer & Business Insights Manager
Event Themes

In Discussion

Driving Innovation Through Data

Future Predictions of Data - Security, Privacy and Identity

From Data Driven to Data Centric

Strategy to obtain Good Data Quality

The Revolution of Data - Augmented Analytics

Event Partners

Solution Providers

Spotlight Videos

Qlik Nordic AB


Business beyond borders: Leveraging data across silos
Utilizing data quality, governance & privacy as an enabler for building business value
Empower the customer journey with AI & Machine learning
Creating a data driven culture - spreading data literacy across the organization

Speakers & Chairperson

Sebastian Heimfors
Axel Johnson AB
Yacir Persson-Chelbat
Securitas Sv AB
Salla Franzen
SEB - Skandinaviska Enskilda Banken AB
Christer Olsson
Christer Olsson Group
Kyla Vanderhart
Royal FrieslandCampina
Juan Carlos Romero
Royal FrieslandCampina
Interested In Our Event?

Data Analytics Investments 2020

Deep Data Dive: Towards Business Data Analytics Culture

Over the past decade, the business landscape has witnessed an explosion of data, giving rise to big data management, data science, and advanced analytics strategies. As modern technologies, such as Internet of Things, generate new and bigger waves of business data, companies from all industries are investing in data analytics to analyze massive raw datasets and extract actionable insights for faster and better business decision making.

Management Events interviewed over 900 top-level executives and key decision makers, including Chief Data Officers (CDOs), Chief Information Officer (CIOs) and other C-suites, from more than 650 leading organizations who attend our analytics, data science and business analytics events. Through personal interviews and surveys, we uncovered the top data analytics investments and technology priorities among business giants across the industries, including predictive analytics, analytics strategy, machine learning, and robotic process automation (RPA).

Shockingly, only a slight majority of the surveyed business leaders are prioritizing on big data analytics while a bulk of the top executives are focusing their attention on business-driven analytics strategy.

For more in-depth insights into rising data analytics strategies, trends and investments, download our free trend report, Deep Data Dive: Towards Business Data Analytics Culture. Be inspired by data analytics success stories and read up on fast-approaching analytics trends of the new digital decade that are propelling the growth of business intelligence.  

Here are the report key takeaways:


96% of surveyed C-suites consider data analytics as a leading priority in their organization, setting an annual budget of up to €250,000 to invest in business intelligence.

With the increasing amount of data, 60% of C-suites are investing in data management solutions to improve productivity, optimize efficiency, and reduce data security risks.

Big data analytics and predictive analytics are both a priority for business leaders. However, predictive analytics has a slightly bigger adoption rate than big data analytics.

More than 55% of top executives are looking to a marriage of machine learning and robotic process automation (RPA) as a long-term strategy for agile and digital transformation.
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