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Data transformation on a global scale

Complex design, scalable solutions

Customer

Client

Manufacturing company

Industry

Construction

Project scope

Global

Solution

SAP Analitycs Cloud
SAP Datasphere

Duration of the project

2 – 3 Years

About the project

The SAP S/4HANA implementation project (also including, among others, SAP Analytics Cloud and SAP Datasphere) is one of the largest ventures of its kind in Central and Eastern Europe. This global project is currently in the pre-implementation phase.

In the Front-End area, we focus on creating advanced calculations in SAP Analytics Cloud (SAC) and SAP Datasphere, mapping the logic of the Client’s business requirements. For more complex scenarios, we implement custom programming solutions in SAP Analytics Cloud. We develop dashboards and visualization structures, such as filters, variables, and parameters. We also manage user authorizations by creating appropriate groups and roles to ensure data security. Additionally, we conduct SAC training for end-users, supporting the smooth rollout of tools and helping to optimize costs through expert analysis.

In the Back-End area, we build a data warehouse tailored for advanced reporting, selecting optimal data sources from SAP and creating dedicated datasets when standard solutions are insufficient. We create analytical models for reporting and optimize data flows, minimizing the amount of stored information. Thanks to automatic data refresh tasks, we ensure ongoing access to current information. We also introduce appropriate data retrieval strategies, which increases processing efficiency. We conduct data quality tests to ensure their consistency and compliance with SAP S/4HANA, which guarantees the reliability of reports.

We act as a subcontractor, supporting the Client in key decisions and cost optimization.

Challenges and benefits

Challenges

  • Project Complexity and Implementation Scale.
  • Creating calculations in SAP Datasphere and SAP Analytics Cloud requires mapping complex business logic.
  • Custom programming in SAP Analytics Cloud.
  • Data integration and quality management. The optimal selection of data sources from the SAP library and the creation of new sources when standard ones are insufficient requires an in-depth analysis of the data structure.
  • The construction of the data warehouse must take reporting requirements into account while simultaneously minimizing stored data.
  • Ensuring data quality and consistency with the SAP S/4HANA system.
  • Collaboration as a subcontractor requires smooth communication and synchronization of activities, which can be challenging with a large number of involved stakeholders.

Business benefits

  • Advanced data analysis and integrated reporting
  • Automation of analytical processes
  • Expert support for decision-making and cost analysis
  • Increased data control and security
  • Flexible analytical models and scalable SAP Analytics Cloud architecture
  • Real-time data access and a unified analytical platform
  • Strategic support and competitive advantage

Why did the customer choose SAP?

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Long-standing cooperation with ERP transaction systems - Customer trust in the brand

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Unlike competitor solutions, SAP Analytics Cloud provides not only reporting capabilities, but also financial data planning.

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SAP Datasphere is a cloud-based data warehouse that offloads the source system (SAP S/4HANA) and allows you to collect data from multiple locations (e.g., DAP DMC) in a single space.

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