Reporting for Proalpha with Power BI

Make the Most of Your Proalpha Data
for transparent and flexible analyses.
In Proalpha, many business and operational processes are interlinked. There is often a need to analyze information from multiple areas together, to track specific key performance indicators, or to examine trends over longer periods of time. 
 
With a Power BI solution tailored to your Proalpha environment, we make the relevant data available for structured analysis. This results in reporting that effectively complements your existing processes and meets your information needs.
Proalpha data is prepared via data4success for analysis with Power BI.

Your information is already on file.
What matters is how you use them.

Warehouse

Shopping

Distribution

Finance

Production

Proalpha captures a great deal of important information from various areas of the company. This information is generated, for example, during order processing, in procurement, in the warehouse, in production, or in finance.
 
In day-to-day operations, much of this information is viewed and analyzed directly in Proalpha. However, as soon as data from multiple areas needs to be analyzed together, trends need to be tracked over longer periods, or customized metrics need to be provided to different recipients, the demands on data preparation and analysis increase.
 
In practice, this often results in additional Excel files or manually maintained reports. When key metrics are calculated in multiple places, the workload increases, and it becomes more difficult to maintain a consistent and transparent view of the numbers.

This is exactly where supplemental reporting with Power BI comes in.

Common Challenges in Reporting with Proalpha

Proalpha provides a wealth of information through reports and analyses—for example, on orders, customers, items, inventory, or manufacturing processes. However, challenges often arise when information from multiple areas or systems needs to be consolidated, key performance indicators need to be calculated consistently, or analyses need to be provided regularly to various recipients.

Operational ERP Reports

Generic ERP report preview with tables and charts for operational analyses such as sales trends, order status, and customer sales.

Advanced Analysis with Power BI

Combining Data from Multiple Areas

Information is generated in various departments along the value chain. From order placement through procurement and production to delivery, many processes are interlinked. When the data from these areas is analyzed together, the interconnections between the individual processes become apparent.

Analyzing Data Sets Together

When multiple Proalpha systems, clients, or locations are in use, relevant information is often stored in different databases. For joint analyses, this data can be consolidated and examined according to uniform criteria.

Define Key Metrics Consistently

Key metrics such as revenue, new orders, order backlog, or gross profit may vary depending on the filters applied, the time period, and the calculation method. Consistent definitions ensure that the results remain transparent and are based on the same criteria in all analyses.

Reduce Repetitive Manual Work

When data must be regularly exported, updated, and consolidated for new analyses, it creates additional work. A reliable database makes it easier to generate recurring analyses and reduces the risk of different versions circulating.

Flexibly Analyze Data from Proalpha Using Power BI

We organize the Proalpha data relevant to your reporting in a structured manner and consolidate it into a transparent data model. Based on this, we develop Power BI reports that address your business questions and align with your existing processes.

The data and analyses that can be included depend on the Proalpha modules in use, the specific configuration, and the available data sources. Among other things, the following areas can be included:

Evaluate Sales Performance Transparently

Analyze sales, prices, order intake, and margins by time period, customer, item, or product group. This makes it easier to identify trends and variances.

Possible Analyses

Analyze Purchasing in a Targeted Manner

Analyze orders, purchase volumes, prices, delivery times, and terms by supplier, item, product category, or time period. This allows you to identify trends and deviations early on.

Possible Analyses

Keeping Track of Inventory and Material Flows

Analyze inventory levels, inventory movements, and safety stock levels by item, warehouse location, product group, or time period. This allows you to identify inventory trends, tied-up capital, and potential bottlenecks early on.

Possible Analyses

Analyze Financial Data in a Structured Manner

Analyze journal entries, account balances, and cost centers across different time periods and organizational units. This provides a clear and transparent overview of financial trends and variances.

Possible Analyses

Analyze Production Data in a Traceable Manner

Analyze production orders, production volumes, times, and costs by time period, item, or production area. This allows you to better assess variances, lead times, and compliance with production targets.

Possible Analyses
Distribution

Evaluate Sales Performance Transparently

Analyze sales, prices, order intake, and margins by time period, customer, item, or product group. This makes it easier to identify trends and variances.
Possible Analyses

Analyze Purchasing in a Targeted Manner

Analyze orders, purchase volumes, prices, delivery times, and terms by supplier, item, product category, or time period. This allows you to identify trends and deviations early on.
Possible Analyses

Keeping Track of Inventory and Material Flows

Analyze inventory levels, inventory movements, and safety stock by item, product group, or time period. This allows you to quickly identify inventory trends, tied-up capital, and critical items.
Possible Analyses

Analyze Financial Data in a Structured Manner

Analyze journal entries, account balances, and cost centers across different time periods and organizational units.
This ensures that financial trends and variances are presented in a clear and transparent manner.
Possible Analyses

Analyze Production Data in a Traceable Manner

Analyze production orders, production volumes, times, and costs by time period, item, or production area. This allows you to better assess variances, lead times, and compliance with production targets.
Possible Analyses

More than just a single report

A good reporting solution consists of more than just clear charts. It is equally important that key metrics are calculated in a transparent manner and that different analyses are based on a common methodological foundation.
 
To this end, we organize the relevant Proalpha data in a structured manner and map the necessary relationships in a reliable data model. Key metrics are defined consistently within this model so that they are calculated according to the same rules in various reports and analyses.
 

Power BI then serves as the front end. Users can filter information, compare trends, and drill down from an overview to the relevant details. Proalpha remains the operational source system. The supplementary reporting provides an additional perspective on the existing data.

In addition to Proalpha, budget figures, CRM data, Excel files, or information from other operational applications can also be included as needed. Which sources are appropriate and how the shared database is structured depends on the specific business question and the existing system landscape.

Proalpha and other sources

ERP data, planned values, CRM data, Excel files, or other operational applications

Shared Database

Structured relationships and uniformly defined key performance indicators

Power BI Reports

Interactive analyses for different departments and perspectives

A database that fits your system landscape

Proalpha can be deployed in a variety of system environments. For this reason, the design of the reporting solution is tailored to the existing infrastructure, the available data sources, and the requirements for updates, security, and deployment.

Leverage Existing Infrastructure

A reporting solution can be built on existing databases and the existing IT infrastructure. The relevant Proalpha data is prepared in such a way that it can be used for joint analyses with Power BI.

Incorporate cloud-based solutions

If cloud services or a central data platform are already in use, the reporting solution can integrate with them. This is particularly useful when multiple data sources or departments need a common foundation for their analyses.

Connecting Local and Cloud-Based Systems

In a hybrid environment, on-premises data sources can be connected to cloud-based services. This allows you to continue using your existing infrastructure. At the same time, it opens up additional opportunities for data preparation, delivery, and reporting.

Microsoft Fabric as a Possible Next Step

As a cloud-based data and analytics platform, Microsoft Fabric can serve as a suitable foundation when Proalpha data needs to be consolidated with other sources, processed centrally, or made available for multiple reports.

Whether Fabric is a good fit for a reporting solution depends on the existing system landscape and the planned scope.
For a manageable start, a smaller database may be sufficient.

When Fabric Can Be Useful

Here's how we handle your Proalpha reporting

Every reporting solution starts with specific questions, existing analyses, and the relevant system environment. Together, we determine what information is needed and how this can be used to create a suitable reporting structure.

01

Understanding the Initial Situation

We will review the existing Proalpha environment, current reports, frequently asked questions, and manual tasks.
02

Review Data and Key Metrics

We review the relevant Proalpha data and determine how key performance indicators should be calculated from a technical perspective.
03

Develop a database and data model

We process the necessary information using technical methods and compile it into a structured database.
04

Implementing Power BI Reports

We develop interactive reports for the intended users and departments.
05

Integrating Reporting into Day-to-Day Work

We configure updates, access rights, and deployment to suit your system environment.

Experience with ERP data and reporting

data4success specializes in business intelligence, data models, and reporting solutions for medium-sized companies. We focus not only on the visible reports, but also on the data structures, business relationships, and calculation logic that form the foundation of reliable reporting.

Our team has experience with ERP data, Microsoft SQL Server, data migrations, data models, and Power BI. We also draw on this experience when implementing reporting requirements related to Proalpha. This enables us to take into account both the technical data infrastructure and the business requirements of future users.

Understanding ERP Data

We analyze existing data structures and identify the information needed for the desired analyses.

Building Data Models

We organize data in a structured manner and present technical relationships and calculation logic in a way that is easy to understand.

Implement Reporting

We develop Power BI reports that meet the information needs of the intended users and departments.

Frequently Asked Questions About Reporting with Proalpha

Here you'll find answers to frequently asked questions about analyzing Proalpha data with Power BI and designing a suitable reporting solution.

Can Proalpha data be analyzed using Power BI?

In general, Proalpha data can be prepared for analysis using Power BI. The data that is available and how it can be provided depend on the modules in use, the specific configuration, and the existing system environment. For this reason, we first assess the specific initial situation and the desired metrics.

Depending on the modules used and the available data, information from sales, purchasing, warehousing and materials management, finance and controlling, and production—among other areas—can be taken into account. Which data and key performance indicators are actually included is reviewed and coordinated with the relevant business units for each Proalpha environment.

A reporting solution can generally be adapted to different system environments. It can be built on top of an existing on-premises infrastructure, incorporate cloud-based services, or combine on-premises and cloud-based components. The appropriate architecture depends on the existing infrastructure, the available data sources, and the requirements for updates, security, and deployment.

No. Microsoft Fabric is not a prerequisite for analyzing Proalpha data with Power BI. Fabric can be a useful next step if you need to connect multiple data sources, process data centrally, or create a shared data source for multiple reports. For a manageable start, a more streamlined solution may be sufficient.

Data from multiple Proalpha systems, clients, or locations can be consolidated into a single reporting solution. This requires that the necessary data be accessible and that differences in data structures and business usage be taken into account. Key performance indicators and mappings are aligned so that the results can be evaluated in a comprehensive and traceable manner.

No. A new reporting solution can be implemented in phases. Existing reports and analyses can initially serve as a technical foundation and be supplemented or replaced in areas where there is currently a particularly high level of manual effort, a need for coordination, or a need for additional analysis.

Yes. In addition to Proalpha, other data sources can also be included depending on the task at hand, such as budget figures, CRM data, Excel files, or information from other operational applications. This allows different types of information to be consolidated into a single analysis and enables users to examine relationships across system boundaries.

The reports and key metrics can be customized to meet your company's specific business requirements. We will work with you to determine which calculation logic, time periods, filters, and levels of analysis are needed.

Depending on the modules used, areas such as sales, purchasing, warehousing and materials management, finance and controlling, and production can be analyzed. The key is not to display as much data as possible, but to consolidate the information needed for specific analyses, key performance indicators, and decisions.

Preconfigured Standard Reports for Proalpha

For many companies, certain reports are particularly important. That is why we offer preconfigured Power BI reports for Proalpha designed to meet typical requirements in sales and finance. These can be used as a starting point and customized to meet individual needs.

Sales Reporting

Analyze sales, customers, products, and trends in an interactive Power BI report.

Financial Reporting

Gain insight into your income statement, balance sheet, and financial metrics in a single, consolidated report.

The standard reports are each available as a starter package for 3,000 EUR plus license fees. Once the necessary access credentials have been provided, implementation typically takes place within 2 weeks. License fees for Power BI and Zebra BI are not included.

If a central database using Microsoft Fabric is both practical and desired for your existing system landscape, you can also purchase a Fabric Starter Package for 2,000 EUR. This package includes the initial setup of the Fabric structure as well as a personalized introduction.

Would you like to get more out of your Proalpha data?

If generating reports currently involves a lot of manual work, if it’s difficult to consolidate important information, or if there are conflicting figures circulating, it’s worth taking a closer look at your reporting structure.

We'd be happy to discuss with you what data you already have and how we can use it to develop a suitable Power BI solution.