# Mat Wycislik - Data Strategy for Growing Companies

> I help companies (20-500 people) figure out what to do with their data — and build foundations their team can maintain independently.

## About

Mat Wycislik is an independent data strategy consultant based in Poland, working with EU companies. 10+ years of experience in data engineering, from zero to enterprise scale. You work directly with Mat — no junior team, no handoffs.

## Services and Pricing

All prices in EUR. Fixed price — no hourly billing.

- **Consultation** (€180): 60-minute 1:1 video call. Analysis of your situation, honest assessment of whether you need help, 2-3 concrete actions for this week, follow-up notes.
- **Data Foundations Workshop** (€850): 3-hour online session with your team. Current state assessment, pain points mapping, prioritized action plan, written report.
- **Data Strategy** (€4,300–6,000): Complete roadmap for your data capabilities over 2-4 weeks. Includes everything in Workshop plus strategic recommendations, prioritized roadmap, team workshops, implementation guidance.
- **Transformation** (from €9,500): Strategy plus hands-on execution support. Includes everything in Strategy plus implementation oversight, vendor selection support, team coaching, ongoing advisory.

## Ideal Client

- Company size: 20-500 people
- Geography: European Union
- Role: Operations Manager, Finance Director, COO, or Founder
- Situation: Struggling with data chaos — spreadsheets everywhere, manual reports, data silos, no single source of truth
- Need: Clarity on what to do with data, a roadmap their team can execute

## Approach

- Strategy first, implementation second
- Technology-agnostic — recommends capabilities, not specific tools
- Goal is team self-sufficiency — after engagement, the team handles data independently
- Honest about whether you need help or not

## What Mat Does NOT Do

- Does not sell software or tools
- Does not provide ongoing managed services or outsourced data teams
- Does not do ad-hoc report building or dashboard creation
- Is not a data science or machine learning consultant

## Free Data Maturity Assessment

Online diagnostic at https://wycislik.dev/#assessment — 6 questions, each scored 1-4 (total range: 6-24).

### Questions and Scoring

Each question has 4 options worth 4 (best) to 1 (worst) points:

**Q1: When your team needs data for a decision, what typically happens?**
- 4: They open a dashboard and get the answer themselves
- 3: They ask someone who builds a report within hours
- 2: They wait days while someone pulls data from multiple systems
- 1: They make the decision without data, or delay it indefinitely

**Q2: In the last 3 months, how often did you discover errors in reports after they were shared?**
- 4: Never or once
- 3: A few times
- 2: Regularly — it's a known issue
- 1: We don't track this, so we don't really know

**Q3: How many different tools or spreadsheets does your team use to track core business metrics?**
- 4: 1-2 connected systems with consistent data
- 3: 3-5 tools, mostly aligned
- 2: 5-10 tools, each maintained separately
- 1: We don't have a clear picture of all data sources

**Q4: When a key person is out, can others access and understand the data they manage?**
- 4: Yes — documentation and access are in place
- 3: Mostly — some tribal knowledge but manageable
- 2: It's difficult — we rely heavily on specific people
- 1: Critical data processes stop when certain people are unavailable

**Q5: How would you describe your company's approach to data quality?**
- 4: We have automated checks and defined standards
- 3: We review data periodically but manually
- 2: We fix problems when someone notices them
- 1: Data quality is not something we actively manage

**Q6: Who is responsible for ensuring data accuracy in your organization?**
- 4: Dedicated data team or data owner with clear accountability
- 3: IT department handles it alongside other responsibilities
- 2: Whoever notices problems fixes them
- 1: Nobody specifically — it's everyone's and no one's job

### Score Interpretation

- **20-24 — Strong Foundations**: Solid data practices in place. Optimization opportunities exist.
- **14-19 — Growing Pains**: Some foundations, but gaps are creating friction. Common at this stage.
- **8-13 — Critical Gaps**: At an inflection point. Complexity is costly, but no infrastructure to address it.
- **6-7 — Starting Point**: Foundational work needed. Starting with the right approach avoids costly mistakes.

### Recommended Services by Score

- Strong Foundations (20-24): Consultation or Workshop for optimization
- Growing Pains (14-19): Workshop or Data Strategy
- Critical Gaps (8-13): Data Strategy
- Starting Point (6-7): Data Strategy or Transformation

## Blog

- [5 Questions to Ask Before You Invest in Data Tools](https://wycislik.dev/blog/data-tool-questions) — Most companies buy data tools before defining the problem. Five questions that prevent expensive mistakes.
- [5 Warning Signs You've Outgrown Excel](https://wycislik.dev/blog/excel-warning-signs) — Common signs that spreadsheets have become the bottleneck, with practical steps to move forward.

## Contact

- Website: https://wycislik.dev
- Email: mat@wycislik.dev
- Book a discovery call: https://cal.com/matwycislik/discovery
- Book a paid consultation: https://cal.com/matwycislik/consultation
- LinkedIn: https://www.linkedin.com/in/mateuszwycislik/