
Data for Breakfast Stockholm 2023
Tuesday March 14th • 8.00 AM • 7A Posthuset
In partnership with Snowflake, we’re bringing the power of the Data Cloud straight to you in Stockholm. Join us for a morning filled with data discussions and peer learning over breakfast.

Welcome to Data for Breakfast
Discover the power of the Snowflake Data Cloud and walk away with the knowledge you need to transform your business through data and analytics. We’ll be there as a Snowflake Select Partner to share how Qlik together with Snowflake offers you a smooth, speedy, scalable, cost effective and complete enterprise solution.
WHEN: Tuesday March 14th, 8.00 a.m. – 11.00 a.m.
WHERE: 7A Posthuset, Vasagatan 28, Stockholm
AGENDA
8.00 a.m. Registration, Networking and Breakfast
9.00 a.m. What is the Data Cloud
9.25 a.m. Hear from a Snowflake customer
9.45 a.m. Extend the value of Snowflake with Partners
10.00 a.m Customer and Partner Q & A panel
10.30 a.m. Networking and Snowflake Demos

Any questions? Please get in touch!
Magnus Petersson Ahrholt
BI Manager
magnus.petersson-ahrholt@climber.se
+46 70 830 27 35
Samantha Hartley
Marketing & Content Manager
samantha.hartley@climber.se
+46 70 746 75 34
News

The Data Literacy Imperative – Why your business can’t afford to ignore it
A recent Gartner report ranks poor data literacy among the top five barriers to the success of data and analytics initiatives. Discover strategies to bridge the data literacy gap and empower your team to make informed, data-driven decisions.
>> Read more
Webinar: Från Data till Affärsvärde – Skapa en hållbar datastrategi!
Utan en datastrategi riskerar ni ineffektiva lösningar. En bra strategi skapar affärsvärde, en datadriven kultur och rätt AI-integration. Bygg en stabil grund från start!
>> Jag anmäler mig!
Breaking Data Silos: How to Build a Modern and AI-ready Data Platform with Qlik Talend Cloud
Want to be able to respond faster to business challenges and foster a data-driven culture? Then join this webinar to learn how Qlik Talend Cloud can help you reduce the complexity of your data architecture.
>> Register now!