TOTAL: 4 cases
FILTERED: 4
Case Studies
Real results from real projects. See how I've helped companies turn data chaos into reliable decision-making foundations.
Situation
A market-leading B2B software provider in the IT asset management space operated across multiple enterprise systems: SAP (finance), SugarCRM (sales), HR systems, and several support platforms. Data was fragmented, reporting was slow, and investor reporting required heavy manual effort.
Problem
No central data platform. Manual and error-prone MRR / ARR calculations. Sales pipeline and forecast numbers inconsistent. No unified customer view across sales, finance, and support. PE-level reporting required high trust and auditability.
Decision Blocked
Inability to confidently report MRR, ARR, churn. Limited transparency for PE investors. Sales and customer service operated in silos. Forecasting and planning lacked reliable data.
Intervention
Designed and implemented a central Azure-based data lake & warehouse. Integrated SAP, CRM, HR, and support systems via Azure Data Factory. Built robust transformation logic in Synapse with data quality checks. Developed executive-ready Power BI reports for MRR / ARR, sales pipeline & forecast, finance & controlling, and customer service KPIs. Established a Customer 360° view across departments.
Decision Enabled
Investor reporting became transparent and auditable. Management gained real-time insight into revenue and pipeline. Sales, finance, and support aligned on a shared data foundation.
What Was Delivered
- Central Azure data platform (Lake + Warehouse)
- Automated MRR / ARR reporting
- Sales pipeline & forecast dashboards
- Customer 360° analytics
- Finance & controlling reporting layer
Situation
A large logistics group operated a highly heterogeneous IT landscape with over 15 cloud and on-premise systems, including ERP, HR, TMS, and operational platforms.
Problem
No unified data layer. High integration complexity. Security and compliance critical. Operational reporting fragmented across departments.
Decision Blocked
Limited transparency into operations. Difficult cross-department reporting. Slow reaction to operational bottlenecks.
Intervention
Designed and implemented a secure, scalable data lake architecture. Integrated 15+ cloud and on-prem systems using Azure Data Factory. Ensured secure connectivity and controlled access patterns. Enabled standardized reporting across HR, ERP, and logistics processes.
Decision Enabled
Operational KPIs became visible across systems. Management gained cross-functional insights. Reporting became consistent and scalable.
What Was Delivered
- Central enterprise data lake
- Secure system integrations (cloud + on-prem)
- Unified analytics foundation
Situation
An automotive enterprise relied on legacy, on-premise reporting (Power BI Report Server) for IT Service Management analytics. Reporting covered classic ITSM domains such as Incidents, Problems, Changes, and Configuration Items (CIs), but lacked scalability, governance, and modern self-service capabilities.
Problem
Legacy Power BI Server limited collaboration and scalability. No structured environment separation (Dev / Test / Prod). Complex reporting logic hard to govern. Limited security, governance, and lifecycle management. Increasing demand for standardized ITSM insights across teams.
Decision Blocked
Limited trust in reports due to inconsistent logic. Difficult governance and permission management. Slow rollout of changes and improvements. No clear foundation for future analytics expansion.
Intervention
Led the migration from legacy Power BI Server to Power BI Service. Designed a modern workspace strategy aligned with Dev / Test / Prod environments. Implemented Power BI Deployment Pipelines for controlled and auditable releases. Built ITSM analytics covering Incidents, Problems, Changes, and CI- and group-based aggregations. Implemented robust Row-Level Security (RLS) to ensure role-based access across teams. Applied governance standards, including sensitivity labels and security policies. Leveraged Microsoft Fabric as a scalable analytics foundation.
Decision Enabled
ITSM KPIs became consistent and trustworthy. Changes could be rolled out safely across environments. Governance and security aligned with enterprise standards. Teams gained reliable insights without compromising data access control.
What Was Delivered
- Modern Power BI Service architecture
- Dev / Test / Prod workspace setup with deployment pipelines
- ITSM analytics dashboards (Incidents, Problems, Changes, CIs)
- Enterprise-grade RLS implementation
- Governance framework with security & sensitivity labels
Situation
Small businesses and associations needed modern websites and simple data handling — without enterprise overhead or expensive CMS solutions.
Problem
Inefficient websites. Manual data handling. No structured reporting or automation.
Decision Blocked
Limited digital presence. High manual effort. No scalable foundation.
Intervention
Built lean, maintainable websites. Implemented lightweight data management and automation. Focused on clarity, maintainability, and cost efficiency.
Decision Enabled
Clear digital presence. Reduced manual work. Simple, scalable setups.
What Was Delivered
- Websites with integrated data logic
- Lightweight reporting & automation
- Sustainable, low-maintenance solutions
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