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 were planning to adopt modern data quality solutions to better support their digital business initiatives by 2024 (source: Magic Quadrant for Data Quality Solutions, Gartner 2021).
M&A activity made simpler
Our end-to-end software platform Kyano gives you a complete overview of your systems at every step of the M&A journey, reducing risk and time to value.
Decrease the costs associated with downtimes by verifying the data consistency, testing applications, and performing an automated validation of BW data.
Increase the productivity of data-driven processes by improving the overall data quality and avoid lengthy or incorrect business decisions thanks to thorough process testing.
Reduce time-consuming processes by automating repetitive tasks. Guided procedures and the automated test cycle result in transparent, easy-to-understand, and well-documented processes.
Meet legal requirements, ensure compliance with the necessary standards, and reduce risks by implementing validations based on audits.
Success story
SNP helped us with the pending acquisition to follow the confidentiality rules set by anti-trust specialists and to prepare the merger of the IT systems in the best possible way.
Ursula M. Kostal
IBS Senior Project Manager M&A at Mondelēz International
