Data. Intelligence. Decisions.
Financial-grade clarity for every business decision.
DataStratai helps businesses transform fragmented data into reliable intelligence, actionable insights, and measurable business outcomes.
Revenue
€1.42M
+18.4%
Gross Margin
32.8%
+3.2%
Customers
14,820
+11.7%
Retention
74.3%
+5.4%
Revenue by month
Illustrative
Gross margin trend
Top segments
- Enterprise68%
- Mid-market47%
- SMB29%
Interface shown with fictional example metrics for illustration only.
Why it matters
Your business already generates the data.
We make it useful.
Sales, customers, operations, finance and marketing all generate valuable information. DataStratai connects these signals and turns them into a clear view of your business.
- Data is fragmented across systems
- Reporting is manual and slow
- KPIs are unclear or inconsistent
- Management lacks visibility
- Decisions rely on assumptions
- Valuable patterns stay hidden
- 01
Data Sources
Excel, CRM, ERP, accounting, e-commerce, marketing, databases
- 02
Data Foundation
Cleaned, consolidated, modeled and documented
- 03
Analytics
KPIs, dashboards, analysis and forecasts
- 04
Intelligence
Patterns, drivers and early signals
- 05
Decisions
Clear recommendations and measurable actions
The core promise
Four questions every business needs answered
Every DataStratai engagement is structured around these questions, in this order.
What happened?
Consistent measurement across every relevant source.
Why did it happen?
Drivers, segments and root causes behind the numbers.
What is likely to happen next?
Trends, forecasts and modeled scenarios.
What should we do about it?
Recommendations a decision-maker can act on.
Solutions
Six capabilities, one analytical system
Engagements combine the capabilities your business actually needs — from cleaning source data to advising on the decision it supports.
Data Management
Create a reliable foundation for everything that follows.
“Our data is everywhere and we don't trust it.”
Explore 02Business Intelligence
Give decision-makers one clear view of business performance.
“We spend too much time preparing reports and still don't have a clear picture.”
Explore 03Business Analytics
Go beyond reporting to understand what is driving your business.
“We can see the numbers, but we don't know why they are changing.”
Explore 04Forecasting & Predictive Analytics
Use historical patterns and analytical models to understand what may happen next.
“We need to make decisions today based on what may happen tomorrow.”
Explore 05AI & Automation
Automate repetitive analysis and make business intelligence easier to access.
“Our team spends more time producing analysis than acting on it.”
Explore 06Data & Business Consulting
Turn analytical findings into practical business decisions.
“We have information, but we need to know what to do next.”
ExploreHow it works
From data to decisions.
A six-stage engagement model that moves from understanding the business to continuously improving the analytical system.
- 01
Discover
Understand the business, objectives, systems, challenges and decisions that matter.
- 02
Audit
Assess existing data sources, reporting processes, data quality and infrastructure.
- 03
Connect
Bring relevant data sources together and create a reliable analytical foundation.
- 04
Analyze
Build data models, KPIs, dashboards, analytical models and forecasts.
- 05
Advise
Translate findings into clear business recommendations.
- 06
Improve
Monitor results, automate reporting and continuously improve the analytical system.
Worked example
What an analysis actually changes
A simplified illustration of how a common commercial problem is decomposed and resolved.
“Our sales are growing, but profitability is declining.”
Illustrative exampleInputs
- Sales
- Customers
- Products
- Marketing
- Costs
Margin decomposition by product line, customer cohort analysis and acquisition cost tracking over twelve periods.
Finding
Growth is being driven by low-margin products and rising acquisition costs.
Recommendation
Shift acquisition toward higher-value customer segments and optimize the product mix.
Data becomes valuable when it changes a decision.
Industries
Analytics that fit the way your business works.
The analytical method is consistent. The metrics, models and reporting cadence are not.
Retail & E-commerce
Connect storefront, marketing and inventory data into one performance view.
Hospitality
Understand occupancy, covers and cost structure across locations.
Professional Services
Track utilisation, delivery margin and pipeline health.
Logistics & Distribution
Bring operational, cost and service data into one measurable picture.
SaaS & Technology
Measure growth quality, not just growth volume.
Financial Services
Structured reporting and analysis for portfolio and client performance.
Manufacturing
Link production, quality and cost data to commercial outcomes.
Healthcare
Operational and administrative analytics for service organisations.
Pricing
Clear plans for one-time and ongoing work
Start with an assessment, or run analytics as a continuous service.
Data Health Check
$149one-time
One-time service
For businesses that need to understand the state of their data.
- Initial data assessment
- Up to 3 data sources
- Data quality review
- KPI review
- Basic business analysis
- Data Health Report
- Recommendations
Analytics Starter
$249/ month
Monthly service
For small businesses that need consistent visibility.
- Up to 3 data sources
- KPI dashboard
- Monthly performance report
- Data cleaning
- Monthly insights
- Email support
Business Intelligence
Most Popular$499/ month
Monthly service
For growing businesses that need a complete view of performance.
- Up to 7 data sources
- Custom BI dashboard
- Automated reporting
- KPI monitoring
- Monthly business analysis
- Basic forecasting
- Monthly consultation
- Priority support
Final pricing depends on data volume, integrations, complexity and reporting requirements. Custom projects are quoted after an initial assessment.
Technology
Built on the right technology for the problem.
DataStratai selects technology according to client requirements, existing systems and the complexity of the analysis. Not every engagement uses every tool listed here.
Technologies
- Java
- Spring Boot
- Python
- SQL
- PostgreSQL
- Power BI
- Tableau
- Looker Studio
- Docker
- Cloud infrastructure
Analytical techniques
- ETL / ELT
- Data Modeling
- Data Warehousing
- Statistical Analysis
- Forecasting
- Machine Learning
- Anomaly Detection
- Segmentation
- Scenario Analysis
- API Integration
- Automation
Security & data trust
Your data deserves serious treatment.
DataStratai is designed around controlled access, responsible data handling, clear ownership and secure analytical workflows.
Controlled access
Access to client data is explicitly granted, documented and revocable.
Least privilege
Each engagement uses the minimum access required to deliver the work.
Secure transmission
Data is exchanged over encrypted channels and approved transfer methods.
Environment separation
Development, analysis and production environments are kept separate.
Auditability
Data flows and transformations are documented so results can be traced.
Data minimization
We work with the fields required for the analysis, not everything available.
Clear data ownership
Your data remains yours, including models, dashboards and documentation.
DataStratai does not currently claim SOC 2, ISO 27001, GDPR or PCI certification. Security arrangements are agreed per engagement.
Start with a clear view of your data.
A short consultation is enough to identify where your reporting breaks down and what a reliable analytical foundation would look like for your business.