Analytics and Data Science

Explore data analytics strategies, IoT, AI, machine learning and more at the Analytics and Data Science virtual forum. This virtual networking event features insightful talks from esteemed speakers, and gathers top business executives who are driving digital transformations and economic opportunities through data and analytics. Leverage on real-life experiences and showcase your solutions with C-suites, influential leaders and top decision makers through our unique virtual networking platform.

September 01, 2020


Speakers & Chairperson

Arttu-Matti Matinlauri

Director of Analytics and Applications Development
Valmet Oyj

Annika Nordbo

Head of Data and Analytics
VR Yhtymä Oy

Salla Kuula

Head of Data & Analytics
Veho Oy Ab

Jarmo Rajala

Head of Data & AI
Cubiq Analytics Oy

Hugo Gävert

Manager Artificial Intelligence
OP Financial Group

Aki Valkama

Head of Analytics
Mehiläinen Oy

Event Attendees Include

Valmet Oyj
Director of Analytics and Applications Development
VR Yhtymä Oy
Head of Data and Analytics
Stora Enso Oyj
Head of Master Data Management
Head of Analytics & Reporting
Fortum Oyj
Head of Data
Nokia Oyj
Head of Business Analytics
Veho Oy Ab
Head of Data & Analytics
Event Themes

In Discussion

Amplifying the Business Value Through Automation and Augmented Analytics

Business beyond borders: Leveraging data across the ecosystem

Entering real-time data economy at lightspeed

Citizen Data Scientists: Empowering data enthusiasts with accessible smart data

Event Partners

Solution Providers

Spotlight Videos



Data science and machine learning in the heart of the customer journey
What it takes to create and lead a data-driven organization?
Harnessing Enterprise-wide Data Culture
Leveraging Data Across the Ecosystems
Creating a Winning Data Monetization Strategy

Speakers & Chairperson

Tommi Vihervaara
Fira Group Oy
Tuula Heikkinen
Telia Company
Tuula Heikkinen
Telia Company
Sameli Mäenpää
OP Financial Group
Juha Juosila
Terveystalo Oyj
Anssi Käki
UPM Kymmene Oyj
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.
Download Now