Data Validation Assessment

Evaluation of your approach to validating your critical data, along with expert recommendations for improvement & an implementation plan

Your Challenge

As your organization’s data architecture evolves, data volume is proliferating, integrating a variety of new components such as:

  • Data warehouses and data lakes (Hadoop)
  • NoSQL data stores and streaming services
  • Data marts and enterprise applications
  • BI and analytics reports
  • Flat files, JSON files, and web services
  • Mainframe feeds

Whether migrating to the cloud or shifting vendors, managing and validating this expanding data environment is challenging. Key questions include:

  • How much data requires validation?
  • Are critical data paths being tested?
  • How do I ensure data is properly transferred and verified across systems?
  • How can data quality be maintained in cloud environments?
  • What portion of data testing can be automated?
  • How can testing integrate into our CI/CD DataOps pipeline?

Our Solution

RTTS offers a comprehensive Data Validation Assessment to evaluate your data validation process, pinpoint improvement areas, and deliver an actionable implementation proposal.

Turnaround Time Frame

5 – 7 business days

Who Will Benefit

Organizations seeking to develop or refine data validation and testing strategies aligned with industry standards.

Assessment Components

  • Business analysis
  • Data architecture review
  • ETL and DataOps testing evaluation
  • Optional resource and metrics evaluation
  • Risk assessment

Deliverables

  • Detailed analysis report with recommendations
  • Findings presentation
  • Implementation proposal

RTTS provides expert guidance to optimize your data validation process and strengthen your test data management strategy.