[ FRACTIONAL DATA LEADERSHIP ]
Your ChiefData Officeras a Service.
I take responsibility for your data initiatives and help build the first working solutions. Together, we put the structures and skills in place for your company to get lasting value from its data.
Dr. Jan-Hendrik Weinert · Holo Nexus
Who brings your
data initiatives together?
IT looks after systems, while business teams build their reports. Shared definitions, a data platform or new data roles call for someone who can make decisions across those boundaries.
That is the responsibility I take on. I work with you and your team over time, with a level of commitment that fits your needs. We set priorities and regularly review what is working and what needs to change.
This includes budgets and responsibilities: which initiatives are worth pursuing, what your team can take on, and where you need help.
Responsibilities and working togetherI help build the
first working solutions.
A working data connection or application gives us something concrete to discuss. Your team can try it and show us what it needs.
That is why I work on selected data pipelines, automations and analytics or ML applications myself. This reveals whether a metric is useful, which access is missing and who will operate the solution.
The first solution should help with everyday work and make the next task easier. Agreeing a definition, creating a reusable data connection and bringing a team member up to speed can all be part of the same piece of work.
Six fields that
work together.
How people use data depends on whether they trust it, feel able to raise problems and take responsibility. I work with your team across the six fields to make the changes this requires: from agreeing what a metric means to developing the skills and access needed to use it. Working on concrete tasks gradually changes how people work together.
PROVEN IN MY WORK
This approach has proved its value repeatedly in my work. I developed the framework with Dr. Mariana Hebborn and Prof. Dr. Heiko Beier, and we brought our experience together in “How to Become a Data-Driven Organization”.
Domain-owned data products.
A shared way to use them.
Data mesh, a logical data layer and data fabric change how an organization produces, shares and uses data. Making them work together also calls for changes in how people make decisions, take responsibility and work with each other. I help you put those changes into practice.
How they fit together
- Data Mesh
Business domains own their data products and make them available to others.
- Logical Data Layer
Shared views provide a consistent way to use the distributed products.
BI · AI · Applications
Teams use the data products in reports, models and applications.
Metadata connects the entire path: lineage, quality, access rules and dependencies become traceable and support automated checks.
The layer helps put the data mesh into practice. Data fabric supports its operation across all levels.
Data Mesh
OWNERSHIP & CULTUREIn a data mesh, business domains take responsibility for their data products. They need decision-making authority, time and shared rules. Making data available to others becomes part of their work.
Logical Data Layer
SHARED ACCESSThe logical data layer makes those distributed data products accessible through shared business views and access rules. It helps put a data mesh into practice, even when its data lives in different systems.
Data Fabric
METADATA IN OPERATIONDATA FABRIC
Knowledge about the data
connects the entire path.
When a data product changes, its metadata shows which views in the logical data layer and which applications are affected. A data fabric approach uses these connections to notify the teams responsible and trigger quality or access checks.
The foundation comes from the people who maintain data products, agree on rules and document dependencies. I connect that work with the technical implementation.
New ways of working
have to become everyday practice.
Calling an organization “data-driven” does not change how a decision is made. The change shows up when teams share data, feel able to raise problems and take responsibility beyond their own department. Leadership and incentives need to support that way of working.
I help you make this change through concrete work across the six fields. We develop skills in your team, agree on business rules and build data products that others can use. What we learn from using them determines the next piece of work.
A data fabric takes shape through that work, step by step: data products, shared access, metadata and controls work together, supported by the people who use and maintain them.
Dr. Jan-Hendrik
Weinert
I’m Dr. Jan-Hendrik Weinert, a Certified Chief Data Officer. My background combines actuarial science, computer science and economics.
I have built enterprise analytics capabilities and data virtualization. In our work together, I bring that technical experience alongside an understanding of data culture and collaboration.
My background and talksLet’s
talk.
Tell me what you want to do with your data and where you need support. We can work out whether I’m the right person to help.