Introduction ‘Data-driven organizing’
Data-driven organizing is undoubtedly the most important human invention, unfortunately, we use it insufficiently or incorrectly, at least not optimally. It’s like using a lawnmower to sweep the sidewalk and a broom to cut the grass.
Most decisions in our lives and work are made based on data. This importance contrasts sharply with our knowledge and attention to the question: what are data and how can supply and demand be organized safely, democratically, and productively? Major societal challenges such as climate change, inequality, the next pandemic, the power of tech companies, disinformation, polarization, and shortages in collective sectors can be solved through the correct use of data. And we are not talking about big data, but about rich data. Without getting technical, in this introduction we take participants into the wonderful world of data wisdom and data-driven organization: what are data and how can you best organize demand and supply of data? The focus here is on letting go of the dominant logic, the development of new business and operating models (smart collaboration in ecosystems), and data technology (internet of things, blockchain, rich data, data logistics, smart contracts, and artificial intelligence).
We come from a world in which land, labor, and capital were the most important production factors, and data is now added to that. This means that we no longer organize with companies, governments, and non-transparent markets as a starting point, but ecosystems. This means that we no longer need local IT systems, but can use a digital assembly line. The problem now is that at least thirty percent of the total organizational costs are spent on requesting data from other parties. This can and should be done differently given the social challenges we face.
The first ‘fallacy’ that we remove is the idea that we should organize work and society with companies and governments and also take this as a starting point when organizing data and IT. The second fallacy is that data and IT are the same things and that organizing data is, therefore ‘something of IT’. The fact that we are barely getting any more productive, despite billions of investments in IT, and that seventy percent of digital transformation projects fail, makes it clear that this is a bad idea.
In this introduction, we take participants on a journey to the sustainable, digital, and decentralized FutureNext we need. We show which social transformation we are in and how data plays perhaps the most important role in this. The question that then remains is: how data-savvy are you?
What you’ll learn
This introduction aims to raise awareness, transfer knowledge, and to provide insight into the practical applicability of data and how to organize it productively. As a result, participants develop a ‘radar’ to make the right decisions at the right time.
Who should attend
This introduction is mainly aimed at professionals (innovation managers, business developers, project leaders, consultants, IT architects, and community managers) who must be able to answer questions from management, customers, and networks about the transformation to the sustainable, digital and decentralized FutureNext.
Furthermore, this introduction is also suitable for (general) managers and professionals in the field of HR, finance, legal, facility management and logistics, strategists, and policy officers.
This introduction is also offered abbreviated before you visit our experience lab for data-driven organizing on the university campus in Eindhoven.
- Social-economics context
- Towards a durable, digital, and decentral FutureNext
- Letting go of dominant logic and embracing the new business and operating models
- What are data and how can you organize production and consumption productively?
- Why focus on data wisdom and data-driven organizing?
- Difference between data and IT, digitization and digital transformation
- Concepts such as IoT, blockchain, rich data, smart contracts, tokenization, data logistics, and AI
- The digital assembly line is coming
- Applications and case studies
- What does it mean for your business/function/organization?
- How do you start tomorrow with data-driven organizing and transformation?
- Questions and answers
1 hour (webinar) to 1 day part (introduction).
This introduction is interactive. In addition to concept, theory, and practical examples, the participants will also have a dialogue about (their) practical examples that can be organized data-driven. This introduction focuses on awareness, knowledge transfer with practical examples, and opportunity to ask questions and personal input.
To be well prepared, to get the most out of this product and to be able to participate actively, participants can prepare for this introductions:
- read a number of articles, blogs and whitepapers
- visit the Weconomics Foundation website
- visti the Weconomics Solutions website
- read the paper: ‘Why digitale transformatie (often) fails’
The result of this introduction is that you can provide answers to questions about the usefulness and necessity of data wisdom and data-driven organizing for yourself, your organization, customers, and your network, or you can start setting up a transformation program for your organization, customers, or network.
Possible next steps:
- Visit our experience lab for data-driven organizing
- Weconomics learning-working program
- Weconomics membership
For more information, see also website:
When you find this product in our webshop, you can also apply as an individual. After receiving your registration and with sufficient participants, we plan a date and location together.
This product is also available as a webinar (with sufficient participants: every first Monday of the month from 12:00-13:00). After registration you will receive a link with which you can log in.
The program is composed in consultation with and after an intake interview with client / participants.
For enough interaction: minimum 6 – maximum 20
- beamer and screen
- plenary room (U-shape)
The recommended investment for this service includes preparation, follow-up, booking, local travel time/costs and excludes VAT and customization costs. We hope this fits the budget, otherwise please let us know and we can see how we can make it fit.
If you want additional information, please contact us.
tags: idw, idw-eng