Critical Steps to Safeguard Enterprise Data Integrity with Tricentis
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Key Takeaways
⇨ Data storage and protection are critical for SAP deployment, with 83% of organizations prioritizing these aspects. Poor data quality and excessive data sources contribute significantly to challenges in maintaining data integrity.
⇨ Tricentis Data Integrity enhances data migration quality, crucial for organizations transitioning to SAP S/4HANA, especially with the approaching 2024 deadline for the end of SAP Business Suite 7 support.
⇨ The adoption of AI tools in SAP, such as the generative AI assistant Joule, necessitates vigilant validation of data quality to mitigate risks like bias and inaccuracies, underscoring the importance of utilizing solutions like Tricentis for data integrity.
According to SAPinsider research, data storage and protection requirements remain a key focus for organizations, with 83% of respondents listing them as critical for deploying SAP systems. 70% of survey respondents seek a partner with experience in migrating and managing transactional and historical data when they undertake projects large and small – digital transformations and day to day processes. Poor data quality and having too many data sources are among the major pain points faced by them, resulting in issues with data integrity.
Tricentis, an automated software testing solutions provider and SAP Solution Extension partner, helps organizations achieve quality data during their migration process with Tricentis Data Integrity in three key areas:
1. SAP S/4HANA migration
With the 2024 deadline looming for the end of SAP Business Suite 7 mainstream maintenance, organizations are rushing to migrate to SAP S/4HANA. However, migration requires extensive testing to maintain data quality during the process. This proves difficult for many organizations, as their existing quality assurance methods are too manual to support extensive testing or ensure the ongoing functionality and security of the organization’s key business processes. Implementing Tricentis Data Integrity can ensure high data quality, with 100% test coverage in less than a third of the time during and after migration. The scalable solution identifies issues with data functionality processes and quality while identifying and remediating data errors pre-release.
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2. RISE with SAP
Migrating to the Cloud significantly impacts an organization’s digital transformation efforts, and RISE with SAP has continued to play a key role in SAP’s Cloud ERP transformation strategy for its customers, . However, data quality can suffer due to compatibility or integration issues as organizations migrate from on-premises systems to the cloud. As part of the RISE with SAP adoption framework, Tricentis provides prescriptive methodology and precise tool selection to help customers deploy SAP cloud software effectively. The solutions include accelerating innovation, safeguarding SAP modernization, and optimizing operational efficiency for organizations. Tricentis Data Integrity helps SAP modernization and efficiency by ensuring trustworthy data wherever your data travels and whatever happens to it on its journey.
3. The Use of AI
SAP provides embedded AI scenarios that allow organizations to accelerate processes and optimize their decision-making as SAP’s generative AI assistant, Joule, is now available in both SAP S/4HANA Cloud Public Edition and SAP S/4HANA Cloud Private Edition. SAP also anticipates that end users will be able to manage 80% of the most-used SAP business transactions through Joule. Still, data used by the AI can pose risks from bias, hallucinations, and privacy. To mitigate these risks, organizations must validate AI data quality through:
- Red teaming, which challenges AI by stimulating real-world attacks and unexpected scenarios
- Benchmarking to establish clear guidelines in the AI learning process by acting as a checklist to ensure that the AI meets the necessary quality standards before going live
Organizations can use Tricentis Data Integrity to vet data during the AI development and adoption learning phase to reduce hallucinations, drift, and bias, as your AI development is only as good as your data.
What this means for SAPinsiders…
- Technology migrations and business transformation initiatives, such as the move to SAP S/4HANA and the advent of AI, are forcing many companies to rethink the integrity of their data.
- Companies are revisiting and evolving how they integrate, migrate, replicate, govern, validate, analyze, store, and secure their data.
- Organizations utilize the solutions provided by SAP partners like Tricentis, which support a range of commercial enterprise and analytics applications and data infrastructure technologies, both on-premises and in the Cloud.
- By taking this short survey today, organizations can gain the latest insights on this important topic and benchmark their performance with SAPinsider peers worldwide.