Manual reporting
- Scattered Excel files
- Repeated copy-paste work
- Slow monthly updates
- Unclear KPI definitions
Dataneox · Business analytics service Germany
I help teams turn messy Excel, CSV, and SQL data into clear dashboards, automated reports, and practical KPI systems.
Animated system
A simple animated view of files becoming structured reporting logic.
The reporting problem
Most teams already have useful business data. The problem is that it is scattered, manually refreshed, and hard to trust when decisions need to be made.
Scattered monthly files
The solution
Dataneox turns manual files into structured data, consistent KPI logic, and management-ready dashboards.
Services
Power BI dashboards are the core offer, supported by Excel automation, SQL preparation, KPI structure, and receivables analytics.
Custom dashboards for sales, finance, operations, customers, products, and management reporting.
Reduce manual copy-paste work and turn recurring Excel reporting into a cleaner workflow.
Define the right KPIs and build reports that managers can understand quickly.
Prepare, clean, and structure business data before it enters the dashboard.
Dashboards for overdue invoices, customer exposure, aging buckets, payment behavior, and risk monitoring.
Example projects
The structure is intentionally honest: no fake client names, no invented testimonials, and no exaggerated performance claims.
Demo case study using synthetic data.
Problem: Sales data was stored in monthly Excel files.
Data sources: Monthly Excel sales exports, customer list, product categories
Solution: Built a Power BI dashboard with revenue trends, product performance, customer segmentation, and monthly comparison.
Managers can review sales performance without rebuilding reports every month.
Demo case study using synthetic data.
Problem: Overdue invoices and customer exposure were difficult to track.
Data sources: Invoice exports, payment dates, customer master data, credit limits
Solution: Created a receivables dashboard with aging buckets, overdue amounts, customer exposure, and payment behavior.
Finance teams can prioritize collections and identify risk concentration earlier.
Demo case study using synthetic data.
Problem: Management needed one clean overview of key business metrics.
Data sources: Sales, cost, customer, and operational KPI exports
Solution: Built a dashboard combining sales, costs, profit, customer metrics, and operational KPIs.
Leadership can review a consistent KPI picture in one place.
Process
A clear workflow from first file review to dashboard handover and optional monthly support.
We look at your current Excel, CSV, or reporting files and define the reporting problem.
We decide which KPIs matter and how they should be calculated.
I clean, structure, and prepare the data for reporting.
I build the Power BI dashboard with filters, visuals, and business logic.
You receive the dashboard, explanation, documentation, and optional monthly support.
Pricing
Final price depends on data complexity, number of sources, dashboard pages, and automation needs. Small one-off fixes are available on request.
From €150
For fixing or improving an existing Excel or Power BI report.
From €500
For small businesses that need one clear dashboard.
From €1,200
For serious reporting systems with multiple pages and business logic.
From €300/month
For recurring updates, dashboard support, and reporting advice.
About
I’m Huseyn Hajiyev, a Germany-based data analyst focused on Power BI dashboards, Excel reporting automation, SQL-based data preparation, and business KPI reporting. My background combines economics, business analytics, and practical reporting work, with a special interest in receivables, credit-risk, and finance-oriented dashboards.
Dataneox is my solo analytics service. I work directly with small businesses, startups, finance teams, and professional teams that need clear reporting without unnecessary agency layers.
Location
Bonn/Cologne, Germany
Background
Economics + analytics
Tools
Power BI, Excel, SQL
Focus
Business reporting and KPI systems
Special interest
Receivables and credit-risk analytics
Communication
English service; German-ready communication developing
FAQ
Practical answers about files, confidentiality, timing, monthly support, and KPI structure.
Contact
You can describe your problem without sharing sensitive data. Anonymized samples are enough for the first review.
Simple inquiry
Best for a first question, dashboard review, or small report issue.
Detailed project request
Best when you already know the service, data sources, timeline, and budget range.
huseynhadjiyev@outlook.com
Bonn/Cologne, Germany
GDPR-conscious project workflow · NDA possible