Deliver Value in the Data Economy
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Deliver Value in the Data Economy

Data monetization explained so that everyone understands it!

About the Book

The book Deliver Value in the Data Economy is for data monetization purposes, which helps you to build a bridge between the IT department and business design to maximize data-driven value creation.

Why the book is written?

Based on data product-related discussions with 200+ companies, we have seen that gap in knowledge is not in technology or adopting technology to monetize data assets. A lot of tools, platforms, and technical solutions exist and we have skilled people on the job. But the problem is that they do not know what to do or why.

The business layer in companies is lagging behind and has difficulties understanding and applying data economy in their business. We want to change that!

For whom

The book is written for business developers, CEOs, CIOs, CDOs, and all developing data-driven businesses. If you happen to be in a position in which innovating new business or leading digitalization is your thing, this book is for you!

The authors

The book was written by three experience Platforms, API, and Data Economy professionals because such a book was needed by many. We’ve done a lot of consulting and the same concepts, questions, concerns, etc. are repeatedly coming up. We thought that it might be handy to put all the repeating things in a book and share that.

Facts-based and use case driven content

The book offers insights based on our experiences in practical cases as well as results from academic research we conduct as well. Two of us have doctoral degrees from ecosystem-driven platform businesses. We will leave the technical aspects in the outer rings since those aspects are already covered in various blogs and podcasts. The focus is on the business side of data commodities also known mostly as data products and data as a service (DaaS).

We wrote a blog series called 100 Days of Data Economy before authoring this book. We used that series as an exercise to clarify our thoughts before putting it all in a package.

Enjoy reading the book and feel free to connect with us!


Digital copies

From 15th Jun forward $19,90

Preorder hardcover

You can also preorder the hardcover version of the book. Expected delivery starts in September 2022. The price is $36,00 (VAT 0%) + postage.

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About the Authors

Jarkko Moilanen, PhD
Jarkko Moilanen, PhD

Jarkko Moilanen, Ph.D. is the Open Data Products Head at the Department of Government Enablement at Abu Dhabi. Before relocating to Abu Dhabi 11/2022 Jarkko was the Chief Data Officer of Vastuu Group Oy. Jarkko has a key role in managing the portfolio of advanced and innovative data-driven development customer cases, and managing data strategy as well as data management. Prior to his employment at Vastuu, he served as the Chief Operations Officer and Chief Development Officer at Platform of Trust.

Earlier, Jarkko was for 4 years leading the digitalization in K12 education in Finland as the Senior Advisor on Digital Strategy at the Ministry of Education and Culture of Finland.

Moilanen earned his doctorate degree in 2017 at University of Tampere with his work entitled “Peer Production economy - revolution in design, development and manufacturing”. He is currently pursuing his 2nd PhD in the University of Jyväskylä around the design-driven data productizement process, which binds together data products and data strategy in companies.

Jarkko is the creator of the Data Product Toolkit, which helps organizations to take advantage of data, design data products to maximize internal reuse and partner network value, and eventually, monetize derived data-driven services. As part of the toolkit development, Jarkko has defined first in the world Open Data Product Specification which is a vendor-neutral, open-source machine-readable data product metadata model. It defines the objects and attributes as well as the structure of digital data products.

Toni Luhti, D.Sc.
Toni Luhti, D.Sc.

Toni Luhti, D.Sc. (economics), is a founder of MindMote Ltd., co-founder of Data Product Business, and co-author of Data Economy 101 book. Toni also holds multiple positions in different start-ups and member of the board or advisory board. Over 20 years of IT and digitalization experience with the latest academic knowledge makes him a highly valuable executive for companies of all sizes.

During his career, he has been working for many international and local listed companies in various management positions. Typically his positions are focused on digital transformation, lean organizations, and adopting modern technologies. With a deep understanding of servitization and the consumption-based business model, he can turn technical innovations into revenue streams.

Jussi Niilahti
Jussi Niilahti

Jussi Niilahti, M. Eng., is a Senior Data Architect at Solita. Solita is a North European leader in data-driven digital transformation and business design. Prior to joining Solita in 2022, he was Service Director at Platform of Trust and held several IT-related positions in the public sector.

He has over 20 years of background in different aspects of digitalization, especially from data platforms, APIs and data products, geospatial data, smart cities infrastructures, public sector, data-driven planning, and development. His expertize is the ability to guide tech-business decision-making together with technical and business-oriented colleagues, partners, and customers in a people-oriented way of working. His skills are demonstrated in practice.

Over the past couple of years Data Economy and Data as a Service, both technical and business perspective, have been his major objects of interest. Jussi was co-author together with Jarkko Moilanen when creating Open Data Product Specification which is a vendor-neutral, open-source machine-readable data product metadata model. It defines the objects and attributes as well as the structure of digital data products.


The Book
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Ultimate Data Product Development Package (PDF/Miro canvases + book)

Buy the absolute power package! The package includes Deliver Value in the Data Economy book. From the book, you'll get the knowledge on how to succeed in the Data Economy. The package contains also Data Product Toolkit 2.0, which is a ready-made and revenue-generating set of business canvas tools to create Data Products. The Data Product Toolkit 2.0 is based on experiences gained from 200+ real-world data monetization cases. Get the package and start data monetization today!


  • extras
    Data Product Toolkit 2.1

    Data Product Toolkit (PDFs and Miro board for online working) has been developed based on 300+ data productizement cases. It's a business-focused package of canvases, which you can use to design Data Products. This toolkit is not sold anywhere else!

  • PDF

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Table of Contents

  • Preface
  • 1. Introduction
  • 2. Strategy
    • 2.1. Connect with main strategy and business objectives
    • 2.2. Get started instead of perfect planning
    • 2.3. Data maturity
    • 2.4. Data markets
    • 2.5. Case: Koskisen Oy
  • 3. Business Data Environment
    • 3.1. Thinking on business model level
    • 3.2. Modelling data business model
    • 3.3. Cost of bad data quality
    • 3.4. Lifecycle costs can surprise you!
    • 3.5. Where to spend money
    • 3.6. Case: Stanley
  • 4. Data commodities as value co-creation tools
    • 4.1. Data Value Streams, Data Products and Data as a Service
    • 4.2. Customer profile is in transition
    • 4.3. Team and skills
    • 4.4. Simple customer need driven cyclic process
    • 4.5. Case: Demola Global
  • 5. Data must flow in the Data Economy
    • 5.1. From Data Pipelines to DataOps
    • 5.2. Data Architecture and Data Platforms
    • 5.3. Data Economy Standards
    • 5.4. Web 3.0 and the new data economy
    • 5.5. Case: Data of the social and health sector
  • 6. All-in-one value delivery framework
    • 6.1. Data Value Delivery Framework
    • 6.2. Business Level
    • 6.3. Operations Level
    • 6.4. Technical Level
    • 6.5. Full-stack thinking
    • 6.6. Managed by experienced Chief Data Officer
  • 7. Discussion and Data Economy Mandate
  • Meet the Authors
  • References

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