Riding Complexity.
The Standard for Good Management.
Why FLD33?
In the industrial age, the ideas of Taylor brought success to organizations for almost a century. His scientific management practices taught us, that simplifications are useful in ordered circumstances.
The more volatile our world gets, the less the assumption that a certain level of predictability and order exists in the world, holds true. And humans are good at anticipating linear developments. But in the mean time not only Covid-19 has taught us, that the world is not linear.
Good leadership and management is not a one size fits all and does require technology to successfully deal with complexity, dependencies, change over time and the human inability to understand non-linear developments.
How does FLD33 work?
The methodology allows you to model a value driven view on your organization and create transparency and an objective basis for decision making in complex environments.
Our technology offering is a cloud based service that holds objects and relations in a highly scalable volume and lets you extend and visualize your value streams along our methodology. Various connectors are available to integrate existing platforms and data sources and to publish reports in enterprise dashboards.
The FLD33 enterprise meta model holds patterns and profiles for an ever growing number of business domains that can be used as templates to model your specific situation. It is managed as an open standard and free to apply.
FLD33 uses machine learning to identify dependency patterns of success factors.
What is FLD33?
FLD33 is a complexity management and value engineering solution that helps you optimize your execution efficiency.
It handles individual profiles like software quality, delivery performance or customer segmentation that are consolidated in domains like digital transformation, marketing performance or customer lifetime value. Profiles and domains can be interlinked and over time you get a digital representation of and data driven value reports for your entire corporation.
The solution lets you simulate and over time predict outcomes over time based on internal and external factors.
Field 33 is the first field on the second half of the chess board.
Why FLD33?
In the industrial age, the ideas of Taylor brought success to organizations for almost a century. His scientific management practices taught us, that simplifications are useful in ordered circumstances.
The more volatile our world gets, the less the assumption that a certain level of predictability and order exists in the world, holds true. And humans are good at anticipating linear developments. But in the mean time not only Covid-19 has taught us, that the world is not linear.
Good leadership and management is not a one size fits all and does require technology to successfully deal with complexity, dependencies, change over time and the human inability to understand non-linear developments.
How does FLD33 work?
The methodology allows you to model a value driven view on your organization and create transparency and an objective basis for decision making in complex environments.
Our technology offering is a cloud based service that holds objects and relations in a highly scalable volume and lets you extend and visualize your value streams along our methodology. Various connectors are available to integrate existing platforms and data sources and to publish reports in enterprise dashboards.
The FLD33 enterprise meta model holds patterns and profiles for an ever growing number of business domains that can be used as templates to model your specific situation. It is managed as an open standard and free to apply.
FLD33 uses machine learning to identify dependency patterns of success factors.
What is FLD33?
FLD33 is a complexity management and value engineering solution that helps you optimize your execution efficiency.
It handles individual profiles like software quality, delivery performance or customer segmentation that are consolidated in domains like digital transformation, marketing performance or customer lifetime value. Profiles and domains can be interlinked and over time you get a digital representation of and data driven value reports for your entire corporation.
The solution lets you simulate and over time predict outcomes over time based on internal and external factors.
Field 33 is the first field on the second half of the chess board.
What we do
Consulting
We assess, visualize and optimize complex value streams based on existing ontologies and frameworks currently mainly in the areas of digital product organizations, digital transformation, company building, software development and marketing and channel management.
Transformation Analytics
FLD33 is a technology stack to measure and optimze your (digital) success wholistically. We integrate your and external data sources to prioritize your corporate backlog in real time and assess and optimize your performance and execution efficiency over time.
Global Standard
The FLD platform serves as a real time reference for success in a digital world. It connects the most successful corporates, consultancies and research institutions to jointly build and evolve operating models with built in corporate foresight for the post-digitalization era.
Who we are
Sebastian Wohlrapp
Founder & Maging Director
- Corporate Digital Strategy & Company Building
- Organizing for Digital
- Change vs. Transformation
- Platform Business
- Management and Leadership
- Product Owner FLD33
Prof. Dr. Marcus Schögel
Co-Founder & Lead Contributor to FLD33 Standard
Marcus ist the leading contributor to the FLD33 standard in the areas of
- Channels, Touchpoints and User Experience
- Customer Value Methodology
- Trend Prediction
Abhijeet Gupta
Data Scientist & Machine Learning Engineer
- Domain specific and organization specific ontology developement
- Large scale data transformations to event-driven graphs
- Graph based event driven services to the FLD33 standard frontend products
- Developing quantitative and qualitative predictive models for event-driven data
- Identifying scalable and robust methods for efficient informational access on big-data
Thomas Seibert
Tech Lead FLD33 & Profile Owner
Thomas’ work with Field 33 involves:
- Product development of the FLD33 platform
- Definition and implementation of agile and lean methodologies
- Architecture of the FLD33 platform
- Tech lead for the FLD33 platform
- Software Quality Assurance