Your tipping point for digital maturity
Why FLD33?
Digital maturity is a complex state to pursue and a never ending journey. The economical performance and thus value of any business does depend on it, but an endless list of constantly changing factors overwhelm existing planning and performance models and consulting approaches by far.
They sometimes help some time, but over time they fail, because they are mostly static, linear and applied manually and because they can not fully consider the interdependencies and the exponentiality of the success factors.
How does FLD33 work?
FLD33 is open science based and holds data and intelligence of the world’s leading scientists.
It is an open standard and free to apply. The platform connects businesses and their suppliers to evolve their digital maturity over time.
FLD33 uses machine learning to identify dependency patterns of success factors. Relevant data and dependencies are being surfaced through real time dashboards.
What is FLD33?
FLD33 is an open platform for digital maturity and it’s success factors, that provides benchmarking reference models for decision making in real time.
FLD33 is a generic model with industry specific instances for Automotive, Telecommunications, Financial Services, Retail and Luxury Brands considering the relevant cultural aspects of North America, Europe and Asia.
Field 33 is the first field on the second half of the chess board.
Why FLD33?
Digital maturity is a complex state to pursue and a never ending journey. The economical performance and thus value of any business does depend on it, but an endless list of constantly changing factors in areas like strategy, organizational agility, culture, leadership, talent and skills, customer centricity, innovation, big data, AI and technology leadership overwhelm existing planning and performance models and consulting approaches by far.
They sometimes help some time, but over time they fail, because they are mostly static, linear and applied manually and because they can not fully consider the interdependencies and the exponentiality of the success factors.
How does FLD33 work?
FLD33 is open science based and holds data and intelligence of the world’s leading scientists.
It is an open standard and free to apply platform connecting businesses and their suppliers to evolve their digital maturity over time.
FLD33 uses machine learning to identify dependency patterns of success factors.
What is FLD33?
FLD33 is an open platform for digital maturity and it’s success factors, that provides benchmarking reference data for decision making in real time.
FLD33 is a generic model with industry specific instances for Automotive, Telecommunications, Financial Services, Retail and Luxury Brands considering the relevant cultural aspects of North America, Europe and Asia.
Field 33 is the first field on the second half of the chess board.
Curious?
We are currently defining the initial version of FLD33. If you would like to support our initiative or be notified about general availability, please leave your details.
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Total Model FLD33
Many partial Models combined
In a world of competition and winner takes all markets it is important to be ahead of the pack. But benchmarking will make you a worse version of your competitor, if at all. And transforming your sales channels of your procurement approach won’t do the trick unless you adjust your people development etc.
At Field 33 we believe in identifying your specific potential and then executing against those. FLD33 combines existing structural business and maturity models and is open to additional ones.
For Brands: Quantify your Potential
In a world of competition and winner takes all markets it is important to be ahead of the pack. But benchmarking will make you a worse version of your competitor, if at all. At Field 33 we believe in identifying your specific potential and then executing against those findings using OKRs.
For Scientists: Open Science
We believe in the power of the crowd. Open science makes scientific research and its publication accessible. It allows for transparent and accessible knowledge that is shared and developed through collaborative networks. Specifically, we value
- Open Educational Resources
- Open Access
- Open Peer Review
- Open Methodology
- Open Source and
- Open Data
For Consultancies: Maturity Model
Consultancies and technology providers use FLD33 to structure their work for commercial clients.
The people behind FLD33
Sebastian Wohlrapp
Founder & Managing Director
Sebastian Wohlrapp, born in Berlin (1975) is the founder and managing director of the commercial entity Field 33 GmbH, that orchestrates the grooming of the FLD33 standard. He studied mechanical engineering and business administration in Berlin, Zurich and Aberdeen. With more than 20 years of professional experience, Sebastian has enabled numerous global organizations to benefiting from innovative business and transformation approaches. He is a serial company builder and thought leader in business innovation and transformation. He worked for Deutsche Post, Nestlé, Swisscom, Hugo Boss, Procter & Gamble, Mercedes-Benz, Porsche and many other global brands.
Sebastian is leading contributions to the FLD33 standard in the areas of
- Corporate Digital Strategy & Company Building
- Organizing for Digital
- Change vs. Transformation
- Enterprise Complexity
- Platform Business
- Management and Leadership
Prof. Dr. Marcus Schögel
Lead Contributor to FLD33 standard
Professor Dr. Marcus Schögel, born in Berlin (1967) is head of the competence center for Marketing Channels and Alliance Management at the Institute for Marketing and Retail Management at the University of St. Gallen. He studied business administration at the Free University of Berlin. He earned his doctoral degree from St. Gallen University in 1997 and is since then lecturing different courses in marketing as well on bachelor, master and executive level. His research focuses on current issues in marketing strategy, channel management and trend management in marketing. In his research he works closely together with different companies from consumer goods as well as from service and IT-industries (e.g. BMW Group, McKinsey&Co, Microsoft, Henkel KgaA, Procter & Gamble etc.)
Marcus ist the leading contributor to the FLD33 standard in the areas of
- Channels, Touchpoints and User Experience
- Customer Value Methodology
- Trend Prediction
Jobs
Chief Technology Officer (f/m/d)
This job offer is a chance for an ambitious AI-Lead or CTO to join our organization which is just stating operations. If you want to be part of a revolutinary approach and AI platform for efficient success in a digital world for entire industries your are just right here. Keep reading.
Our AI platform is founded by a collaboration of leading european digital innovation managers, a highly reputated european university and industry clients. We offer you to take part in this team of highly motivated and qualified founders.
Your Role
You will manage the technical ressorts of the company and be a key member of the leadership team. In this position you will define the core of the companies technology and product strategy. You will be responsible for all AI/ML-related technical and organizational aspects of our company. The planning and development of our AI platform, our AI models and our product strategy is one of your core task. You build our core development team (internal and suppliers) for our multi-sided platform and for the AI driven applications including front- and backend and data modeling teams. You enable your teams to use lean and agile working methods and take care of our product quality and definition of technical standards. Together with the management team you will build the product teams and take care of DevOps and infrastructure. As our leading AI and platform expert you coordinate and push our strategic partnering in this area.
We would love to see
You are eager, open minded, full of ideas and have proven to be able to transform your visions into real world products with business value. Your curiosity is only topped by your analytical mindset. Superb understanding of machine learning models, techniques and algorithms. You have at least 2-3 years experience in planning and in the in execution of machine learning platforms in combination with cloud computing services. You are able to combine your in-depth experience in Data Analytics, AI and Machine Learning with business roles such as product management and business development. You have several years of management experience as a team lead. You are used to executing modern leadership methodologies in a dynamic and scaling working environment. Fluent English language skills, some German is a bonus. Public activity in the Deep Learning context (conferences, meetups, open source projects, university) are a bonus too.
We offer
- Define and execute your own ideas from day one
- 30 hour week contract (Fridays off) at 110% pay with only 140% performance expectation
- Relevant shares in the company – Co-Founder level
- Become an entrepreneur and founder of a global and scaling AI platform
- Strong team of exellence: Be inspired by a senior team of top-class industry and scientific experts
Apply now
If you want to shape the future of data driven management models and standards as a CTO please send your application to jobs@field33.com.
Data Scientist with ML skills (f/m/d)
This job offer is a chance for an business models, strategy methodology and data? At Field 33 we curate the global standard for data driven management models for the post-digitalization era. The 33rd field is the first field on the second half of the chessboard. This is where exponential growth start to be mind boggling and this is where we take the beneficiaries of our standard.
To increase our leverage to disrupt this landscape we are looking to add data scientists and machine learning experts to our team. Yes we know that those are two different things and yes we know how rare hybrid profiles are.
Your Role
You look at processes, data, data quality, data transformation and the engineer our decision supporting models. You are able and eager to present you work and findings in presentations and for customer interactions. Together with our engineering team you extend our big data capabilities and support in building new ML algorythms.
We would love to see
- Experience in data processing (incl. ETL, R, Python, Scala)
- Data analysis and vizualisation of data also in large quanntities (Kafka, Spark etc.)
- ML basics
- Strong analytical capabilties
- Strong communications skills in English, other languages are a plus
We offer
- Define and execute your own ideas from day one
- 30 hour week contract (Fridays off) at 110% pay with only 140% performance expectation
- Strong team of excellence: Be inspired by a senior team of top-class industry and scientific experts
Apply now
If you want to shape the future of data driven management models and standards as a data scientist please send your application to jobs@field33.com.