#40 Spending money on value creation or technical implementations?
Often, there are two challenges in implementing data economy. The first is to understand the business need and determine its value. In...
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Toni Luhti
- Oct 9, 2021
#39 A good report?
Today we are thinking about what a good presentation or visualization of data is like. It is important that the data we use and consume...
Jarkko Moilanen
- Oct 8, 2021
#38 Data literacy for all is a myth
Data literacy is here understood as the ability to read, write and communicate data in context, including an understanding of data...
Jussi Niilahti
- Oct 7, 2021
#37 Data platforms should focus on increasing data and customer value
It is important that dataflows and data harmonization processes are smooth. Also in most cases the data must be made interoperable. But...
Jussi Niilahti
- Oct 6, 2021
#36 Data economy and geospatial data
Geospatial data has become fundamental part of modern businesses and nowadays it can be regarded as a mainstream. So first, what is...
Jarkko Moilanen
- Oct 5, 2021
#35 Why data product SLA is not always so simple thing?
We’ve all encountered SLAs with APIs. Well, perhaps not all of us, but let's pretend that we have some experience with it. SLA is...
Jussi Niilahti
- Oct 4, 2021
#34 AI starves for fresh data
According to Investodia, Artificial Intelligence (AI) means simulation of human intelligence in machines that are programmed to think...
Toni Luhti
- Oct 3, 2021
#33 Data lifecycle stages
Let's say this straight. We’ve met with dozens of companies that don’t manage their data lifecycle either at all or throughout their...
Jussi Niilahti
- Oct 2, 2021
#32 What things you should think when monetizing data?
Like already said in previous blog posts, most of the companies are realizing their data as a valuable asset and its monetization...
Toni Luhti
- Oct 1, 2021
#31 Value-based pricing for your data
Where solution and value sales have replaced traditional product sales in many industries, pricing models have also changed radically....
Jussi Niilahti
- Sep 30, 2021
#30 Data wheel of death
As has been said, reliable and truthful data is company´s one of the most valuable assets and its importance cannot be overemphasized....
Jarkko Moilanen
- Sep 29, 2021
#29 Data product consumers 2025
Currently, data economy commodities such as data products and data services are consumed by data scientists and data engineers. They are...
Toni Luhti
- Sep 28, 2021
#28 Vendor-locks in data world
A vendor-lock, a piece of a puzzle that is moved from place to place when building an IT infrastructure or digitizing a business model....
Toni Luhti
- Sep 27, 2021
#27 10 steps to data value
Now is the time to raise a very general 10-step list about how to answer business questions with data, what steps are in the data value...
Jarkko Moilanen
- Sep 26, 2021
#26 Elements of sustainable data Business
A few words at the beginning about data strategy and its relation to business strategy. Developing data products and services (DaaS) is...
Toni Luhti
- Sep 25, 2021
#25 TOP3 mistakes in starting data strategy
Today is the time to share the TOP3 most common challenges that the most of our +100 customers we met have faced first when starting...
Jarkko Moilanen
- Sep 24, 2021
#24 Should I provide streaming data products?
Short answer is yes. If you want to know why, read further. I'll give you two reasons why you MUST start planning to offer streaming data...
Toni Luhti
- Sep 23, 2021
#23 Cost-based pricing for data
If you want to sell data, you need to know the fair price for the data or at least understand the different models of how the data can be...
Jarkko Moilanen
- Sep 22, 2021
#22 Why data economy requires standardization?
We all are aware of the significant role of APIs in modern business and IT architecture. APIs changed the way systems are built, enabled...
Jussi Niilahti
- Sep 21, 2021
#21 Why the ethics and transparency are important in data collecting?
Data is being collected almost every website and online data collecting is essential tool for all modern companies. For example,...
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