Data Validation Assessment
Evaluation of your approach to validating your critical data, along with expert recommendations for improvement & an implementation plan
Your Challenge
Your organization’s data architecture is expanding and changing. As more data feeds are being added to your systems, your data volume is growing at a geometric pace and now includes new and additional components such as:
- Data warehouses
- Hadoop data lakes
- NoSQL data stores
- Data streaming services
- Data marts
- Enterprise applications
- BI and analytics reports
- Flat file feeds
- Mainframe feeds
- JSON files
- Web services
Or maybe your company has decided to move you data from one vendor to another or from on premises to the cloud.
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“On average, poor data quality costs organizations $14.2 million annually.”
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“Dirty data costs the average business 15% to 25% of revenue.”
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“Cleaning up data will lead to average cost savings of 33%, while boosting revenue by an average of 31%.”
The task of validating & testing all the data being collected is overwhelming. You are struggling with questions such as:
- How much data needs to be validated/tested?
- How do I ensure I am testing the proper data permutations?
- What are the critical data endpoints that need to be tested?
- How do I verify that the data from my various source systems is propagating through the architecture?
- How do I validate data in the cloud environments?
- Is bad data making it into the architecture?
- How much of the data testing can be automated?
In addition, upper management requiring you to integrate as many of the testing tasks as possible into your CI/CD DataOps pipeline.
Our Solution
RTTS’ Data Validation Assessment service provides an expert evaluation of your current data validation process. We also provide recommendations on how to improve your process and a proposal for successful implementation.
Turn-around time
5- 7 business days
Who will benefit
Any company with a need to create a data validation/testing strategy or improve their existing data validation & testing practices as they relate to industry standards.
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Components Of The Assessment
- Business analysis
- Data architecture analysis
- ETL testing process evaluation
- DataOps evaluation
- Resource evaluation (optional)
- Metrics evaluation
- Risk assessment
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Deliverables
- Detailed analysis report with recommendations
- Presentation to your team on findings
- Proposal for successful implementation
RTTS can help you improve your processes and help you work towards a successful data testing strategy.
