Data Strategy • BI • Analytics

Turn messy data into better business decisions.

I help leadership teams turn fragmented data into a reliable decision-making system — with well-defined KPIs, robust data models and reporting that makes performance immediately clear.

✓ Business-led approach ✓ End-to-end execution ✓ Measurable business impact
Executive Overview
Live data • Updated 2 min ago
Last 30 days ▾
Revenue€2.4M
↑ 12.4%
Conversion7.8%
↑ 1.3pp
Active users48.2K
↑ 8.7%
CAC€38
↓ 6.2%
Revenue & Forecast€ / week
Revenue by Channel%
Organic
42%
Paid
31%
Direct
18%
Partner
9%
Conversion Funnel30d
Visitors124,820
Qualified31,406
Customers9,736
Data HealthToday
Freshness99.8%
Quality checks147 / 149
Pipelines● Healthy
01 — PROBLEMS

Your data should answer questions — not create new ones.

I focus first on the decisions your business needs to make, then design the data foundation required to support them.

01

Conflicting definitions

Teams work with inconsistent metric definitions, making alignment and confident decision-making difficult.

02

Reporting consumes valuable time

Critical reporting still depends on spreadsheets, exports and manual reconciliation instead of reliable automated workflows.

03

Information without clarity

Dashboards multiply, but leadership still lacks a concise view of performance, drivers and priorities.

02 — SERVICES

Data capabilities built around business decisions.

From measurement strategy to implementation, every engagement is designed to improve how your organization uses data to operate and decide.

Analytics Strategy

Translate business objectives into a coherent KPI framework, measurement model and analytics roadmap.

BI & Dashboards

Design decision-oriented reporting for leadership and operational teams, with clear context, ownership and drill-down paths.

Data Modeling

Build scalable analytical models that standardize business logic and create a dependable source of truth.

Automation

Replace repetitive reporting and analysis with maintainable, automated workflows that scale with the business.

Data Quality

Establish validation, monitoring and ownership practices that make data quality visible and actionable.

Decision Support

Turn complex analysis into clear implications, trade-offs and recommendations for decision-makers.

M
COLLABORATION

Extended expertise when the engagement requires it

For selected engagements, I partner with Mike to bring complementary expertise to the table. Together, we can take on broader data initiatives spanning strategy, architecture, analytics and implementation — while keeping delivery focused, senior and hands-on.

03 — PROCESS

A structured path from business question to working solution.

STEP 01

Diagnose

Clarify the decisions, stakeholders, constraints and weaknesses in the current data setup.

STEP 02

Design

Translate the business need into a focused solution design, measurement framework and delivery plan.

STEP 03

Build

Implement the data model, reporting layer or automation with maintainability and adoption in mind.

STEP 04

Enable

Embed the solution into day-to-day workflows, document it properly and enable the team to own it.

04 — RESULTS

Measured by business impact, not by deliverables.

CASE STUDY

From manual reporting to a reliable executive view.

Consolidated fragmented data sources, standardized KPI definitions and introduced a single executive reporting layer — reducing recurring reporting effort while giving leadership one consistent view of performance.

Power BI BigQuery SQL dbt
-82%

weekly reporting time

1

central source of truth

LET'S TALK

Make your data more useful to the business.

A focused introductory conversation to understand your current data setup, the decisions it needs to support and where a pragmatic intervention can create the most value.

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