Data management & transformation

Automated data validation

Healthy data for a healthy business

The most successful companies base their business processes on first-rate data. They recognize that both customer satisfaction and reliable data that secures a competitive advantage are vital and it’s critical the data is correct, complete and valid. This is the only way to support effective decisions, stay compliant with regulations and manage business processes successfully.

Data quality requirements are constantly shifting. With increasing data volumes and complexity, your organization needs efficient and effective data validation processes.

According to a 2021 Gartner study, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives by 2024 (source: Magic Quadrant for Data Quality Solutions, Gartner 2021).

Two illustrated people work on laptops, one sitting down and one standing up, with a magnifying glass centered on a bug in the data - representing testing systems

Latest blog posts

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  • Cloud Data Integration
  • Data Integration
  • S/4HANA
  • Data Analytics & Data Lakes
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  • Cloud Data Integration
  • Data Integration
  • S/4HANA
  • Data Analytics & Data Lakes
5/30/2023  |  3 min

SAP digital transformation in the banking industry: Start with SNP and Step 0

Digital transformation: every industry is going through its own evolutionary journey. While there are common technology and organizational change management hurdles to overcome, regulatory requirements have influenced each industry’s technological evolution; some industries are ahead of the game while others are a bit behind. This blog post addresses the state and needs of the banking industry.

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5/25/2023  | 

Into the Future: SNP Supports Würth IT’s Journey to SAP S/4HANA

We are very pleased to be able to support Würth IT GmbH in modernizing their SAP systems.

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  • Application Retirement
  • Application Lifecycle Management
  • Archiving and Decommissioning
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  • Application Retirement
  • Application Lifecycle Management
  • Archiving and Decommissioning
3/10/2023  |  3 min

System decommissioning and moving legacy data to a data lake

Decommissioning means taking archiving to the maximum – archiving a complete SAP system. This is a common scenario when talking about mergers and acquisitions, but also system upgrades and transformations, including migrations to S/4HANA.

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