What’s the most frustrating analytical problem you’re dealing with right now?
Fragile reporting processes. Scattered workflows. Unclear analytical questions. Results that are difficult to reproduce.
Analytical partner for teams and organizations
What we do
Evaluate. Design. Build.
We help teams and organizations think through, design, and build analytical systems that bring structure, clarity, and reproducibility to complex data problems.
Sometimes that means reporting pipelines, analytical applications, statistical workflows, or internal analytics infrastructure. Other times it simply means helping navigate difficult analytical decisions. The common thread?
Disciplined design. Reproducibility. Statistical clarity.
Our Philosophy
Structure Before Sophistication
Most analytical problems don’t begin with dashboards or models. They begin with questions. We help our clients think through the structure behind the problem before building solutions.
01
Build the Structure
Create the foundation needed for analytical work to become transparent, maintainable, and reproducible.
This may involve:
- automated reporting pipelines
- structured analytical datasets
- interactive applications for exploration
- reusable tools or packages
- version control and documentation
- internal analytics infrastructure
02
Strengthen the Logic
Clarify the reasoning behind the analysis so results are not only well-structured, but statistically sound and defensible.
This may involve:
- reviewing data/metric definitions
- evaluating statistical approaches
- clarifying cohorts and attribution rules
- identifying sources of bias or instability
- documenting analytical assumptions
- connecting metrics to intended outcomes
Why Work With Us?
Many organizations focus on output first. We focus on the systems and reasoning that make those outputs trustworthy.
Our approach emphasizes transparency, reproducibility, and long-term maintainability — often using open, auditable technologies that reduce reliance on proprietary platforms.
Meet Alex
A statistician and data scientist in Central Wisconsin, Alex has over a decade of experience learning, teaching, and doing data science work with a wide range of tools, methodologies and problem contexts.
His work is especially grounded in healthcare, where messy systems and fragile metrics make sound analytical structure especially important.
Through CentralStatz, his focus is on helping organizations build reproducible analytics, strengthen statistical reasoning, and create systems that make complex questions easier to answer over time.
Contact Us
Alex Zajichek, Owner
Located in Wausau, WI, USA