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

S/4HANA

S/4HANA

11/27/2023 | 4 min

What can you expect from running an SAP transformation project with an external company? Here’s how we do it.

Do you know what it takes to navigate the complexities of an SAP transformation project with an external consulting company? In this article, we will explore the essential steps in running a successful SAP transformation project from the initial system scan to the crucial project execution phase.

S/4HANA
Mergers & Acquisitions
Cloud migration
Carve Out & Divestitures

S/4HANA
Mergers & Acquisitions
Cloud migration
Carve Out & Divestitures

11/23/2023 | 5 min

Navigating SAP transformations in regulated industries: pharma and life sciences

In thig blog post, we delve into transforming SAP landscapes in the pharmaceutical industry. With vast amounts of sensitive data and strict regulations, this is an especially challenging task that calls for a deep understanding of compliance requirements and the expertise to navigate it effectively.

SAP Data for Data Science
Data Integration
S/4HANA

SAP Data for Data Science
Data Integration
S/4HANA

10/20/2023 | 5 min

Wave-based vs. big bang approach to migrating to SAP S/4HANA

What is the best approach to an SAP S4/HANA migration project – wave-based or big bang? 2027 might seem far away to most, but considering the average S/4HANA migration takes 12-18 months, you can’t afford to delay planning. Depending on the complexity of your business and its needs, a migration will impact your daily and future business considerably if executed badly. We’ll go over both the wave-based and the big bang approaches so you can make the decision that works best for your organization.

S/4HANA

S/4HANA