Vitali Haberkorn

The project aims to migrate the company's existing Power BI Premium environment to Microsoft Fabric. This migration includes moving the existing data models, reports, and dashboards to the new platform to take advantage of the extended features and improved performance of Microsoft Fabric. The solution will be deployed in various regions worldwide to ensure a unified and consistent reporting and analytics environment for all locations.

Requirements analysis, migration planning, data migration, adapting reports and dashboards, testing and validation, training and support, deployment and monitoring, regional rollout.

Several Power BI semantic models should be automatically deployed in parallel across different regions (USA, Switzerland, Germany, Austria) during deployment. The key requirement is that no downtime must be caused during the deployment.

Planning and implementing a workflow, developing DevOps pipelines, creating Power BI pipelines, conducting requirements analyses, and designing the solution architecture.

The company created a global reporting solution for their clients' profit and loss statements. Each country had different source systems that were consolidated in Power BI. Various timesheet systems and ERP systems were linked and loaded into a semantic data model. Based on this data, a unified global report was created.

Requirements analysis, data sourcing, data preparation, creation of the semantic data model, implementation of security and access controls, integration and consolidation, testing and validation, deployment automation, report creation, training and documentation.

To ensure a consistent design (CI) across all reports, I planned, built, and published a Power BI app, including the access concept.

Requirements analysis, solution design, app design, publishing, access planning.

For the conveyor system, the client built a Power BI data model. After the reporting went live, users complained about poor performance in the reports. The goal was to analyze and speed up the data model so the acceptance of the self-service solution wouldn't suffer.

Performance analysis of the tabular data model, performance optimization in the tabular model, DAX measure optimization.

Since Power BI was introduced, the company had no standards for using data sources in Power BI. Sometimes the SSAS cube, Excel, or a relational database was used. In this context, a standard data source for Power BI was established. The goal was to review all data models for content and switch them to the harmonized standard data source.

As-is analysis of Power BI reports and data models, performance analysis of the tabular data model, performance optimization in the tabular data model

The sales figures from the online shops are prepared weekly in Excel and presented to management. The Excel reports are very time-consuming to maintain and somewhat outdated. With the introduction of Power BI, the reports should get a new design and bring more interactivity to the meetings.

Requirements analysis, design and development of the tabular data model, creation of Power BI reports & dashboards, implementation of row-level security, preparation of KPIs and measures in DAX

Sustainable products are becoming increasingly important to customers and also to retail companies. Manual Excel reports should be replaced by standard SSRS reports. The reporting should not only include standardized reports but also promote a self-service BI culture. Microsoft Power BI was introduced for self-service BI requirements. The entire reporting landscape is fed with data from a data warehouse.

ETL development, data model development, preparation of KPIs and measures in DAX, data modeling in Power BI, report creation, authorization concept for Power BI Report Server

To support the merger of two large telecommunications companies, the different data warehouse systems needed to be consolidated. This required strategic consulting on architecture and technology, as well as downstream project-based activities. The goal was a comprehensive integration of the existing warehouse solutions within both companies and a new build in certain areas.

Introduction of Power BI as a self-service solution. Creation of Power BI data models. Implementation of forecasting logic with DAX. Requirements analysis, design and implementation of requirements in the online performance area, close collaboration with business units, implementation of ETL processes and standard reports, writing documentation and concepts. Design and setup of a reporting solution using Power BI, development of analytical solutions for business units on the analytical platform, training and coaching customer staff in working with Power BI, creation of board-ready reporting and dashboard content, connection and integration of various data sources to the analysis front end, advising business units on self-service capabilities of the analytical platform

Introduction of a new ERP system. A custom solution was replaced as a result.

Requirements analysis, process documentation, implementation design, custom reporting (batch traceability), customizing, user training

For day-to-day operations, the ERP software SAP Business One was implemented at various clients and adjusted to their needs. Adjustments were mainly done in C# and using SQL queries. In each project, custom reports were developed with the clients and created in SQL, Crystal Reports, or Coresuite Layout.

Installation and administration of Microsoft SQL Server, SSRS (purchase analysis, sales analysis, inventory metrics), SAP Business One customizing, installation and administration of Coresuite CUBE