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Jarkko Moilanen
Dec 18, 2021
Data Product Business on Stage at Data Innovation Summit May 2022 in Stockholm
Our API and Data Economy specialist Jarkko Moilanen is on stage at the most Influential Data, AI and Advanced Analytics Event - Data...
Jarkko Moilanen
Dec 11, 2021
#31 Follow these ten guidelines to succeed in the Data Economy
During a couple of years, we have faced around 200 data economy cases and dozens of organizations. Based on the experiences we have...
Jarkko Moilanen
Dec 9, 2021
#100 Data Economy book to guide you into the data economy success
Requested by many The journey of 100 days of Data Economy generated a lot of discussions and many of the participants raised the need for...
Jarkko Moilanen
Dec 8, 2021
#99 Ten guidelines for success in the Data Economy
As the main editor of the 100 Days Data Economy series, I was given the task to collect the most important lessons from the journey in...
Jarkko Moilanen
Dec 7, 2021
#98 Four takeaways by Jarkko
The 100 days of Data Economy series is about to end soon. I have covered a lot of topics in my 45 posts. I decided to pick 3 things to...
Jarkko Moilanen
Dec 6, 2021
How can data leaders fast-track transformation to a data-centric organisation?
Jarkko Moilanen has been invited to the Data Leaders Virtual Roundtable on 7th Dec 2021. This is part of a series of roundtables which...
Jussi Niilahti
Dec 6, 2021
#97 Three takeaways by Jussi
Happy Independence Day, Finland! The 100 Days of Data Economy is now ready for the last couple of posts. We each decided to make three...
Jarkko Moilanen
Dec 5, 2021
Open Data Product Standard in the development
We have started to develop a thing which we call "Open Data Product Specification". It will probably not be anything big like OpenAPI...
Toni Luhti
Dec 5, 2021
#96 Three Takeaways by Toni
Now the final line begins as the “100 Days of Data Economy” blog series draws to a close and it’s time for me to summarize the three...
Jussi Niilahti
Dec 4, 2021
#95 How does the sports industry use data?
The sports sector is a great example of an industry that makes efficient use of data today to make decisions. All professional series,...
Toni Luhti
Dec 3, 2021
#94 Technical platforms for business managers
A great portion of the literature on digital business models highlights Platform Business Models, which are therefore very often...
Toni Luhti
Dec 2, 2021
#93 Data collection on business model level
Many companies consider data collection and internal data needs very often through processes or IT systems. However, the comprehensive...
Jarkko Moilanen
Dec 1, 2021
#92 Global data governance paradigms and super powers
So far we have discussed data economy mostly in corporate level or in some cases market segment level. Let's have a look at the game in...
Jarkko Moilanen
Nov 30, 2021
#91 What is coming next after the servitization?
I've been writing and speaking about servitization as the big global transformation theme in multiple posts and events. You know the...
Jussi Niilahti
Nov 29, 2021
#90 How data pipelines are supporting the data economy?
Companies can use dozens of different information systems whose raw data must be able to be transferred to data lakes, data warehouses,...
Toni Luhti
Nov 28, 2021
#89 Sharing GDPR-data with external parties?
Because data has value and many research actors - such as universities and other research teams - are interested in having access to...
Jussi Niilahti
Nov 27, 2021
#88 What is Industry 4.0?
The Fourth Industrial Revolution is here. Many routine jobs are already automated, but still more of the people’s work will still be...
Jarkko Moilanen
Nov 26, 2021
2 interviews done to define Data commodity experience
The article with working title "#4 Data as a service (developer) experience" data collection is based on interviews. The target audience...
Toni Luhti
Nov 26, 2021
#30 Levels of Data Modelling - Why Managers Should Care?
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