Tricentis Testim Salesforce

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Tricentis Testim Salesforce provides Scalable no-code test authoring makes it faster and easier to improve Salesforce quality. With Testim Salesforce, the entire development team, regardless of skill level, is able to create and manage tests and ensure a high-quality Salesforce experience for all users.  Test faster and ensure greater quality with Testim Salesforce. Testim Salesforce accelerates test authoring, reduces test maintenance, and delivers high-quality apps faster and more easily.

Tricentis Data Integrity

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Tricentis Data Integrity is a low-code, cloud-native data testing and reconciliation solution that helps enterprises validate the accuracy of data across business processes, data pipelines, and complex IT landscapes. It is a type of data testing and quality solution that helps data engineering, QA, and business teams confirm that data is accurate, consistent, and reliable before it is used for reporting, analytics, or AI initiatives. The product automates data testing and reconciliation across multiple data sources, reducing reliance on manual checks and point solutions that only test a single data source or a single point in time. Data Integrity is built for continuous, end-to-end data testing, so that data quality keeps pace as source systems, data pipelines, and business requirements evolve. It is commonly used for one-time initiatives such as data migrations and ERP upgrades, as well as for ongoing data testing and monitoring across production data pipelines, and is part of the broader Tricentis quality engineering platform alongside functional test automation and performance testing. Key capabilities include: - Automated data validation and reconciliation across multiple sources, migrations, and hybrid environments, checking data against defined business rules - Anomaly detection that identifies data errors early, before they spread to downstream systems and processes - Low-code test authoring that allows both technical and non-technical users to create and maintain data tests - Model-based testing that supports comprehensive coverage and simplifies test maintenance when source systems change - Pre-built connectors for systems including SAP, Salesforce, Oracle, SQL Server, Snowflake, Databricks, Teradata, PostgreSQL, IBM Db2, Google BigQuery, Amazon Redshift, MongoDB, and BI tools such as Power BI, Tableau, and QlikView - Risk-based prioritization that directs testing effort toward the data and processes with the greatest business impact - Customizable dashboards and reporting for tracking data accuracy metrics and testing progress over time Data Integrity is used by large enterprises across financial services, retail, manufacturing, and other data-intensive industries to ensure that critical business decisions are grounded in accurate, validated data. It is particularly relevant for organizations undertaking SAP S/4HANA migrations, cloud data platform consolidations, or AI readiness initiatives where data quality is a foundational requirement.