Data Quality Validation Services - Indium Software

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Data Quality Validation Services

Indium Software > Data Quality Validation Services

Indium Software offers Data Quality Validation (DQV) services to systematize and enrich the data, however large and complex they may be. Our customers have achieved next level of technology transformation with the historical data and primed for effective decision making.

Some of the challenges to DQV include

ETL not being mapped or executed properly
Data received from various sources lack cohesion

Indium Software’s Approach

Identify and eliminate the data errors that occur during big data testing, for reporting. To solve the business needs, we have developed a comprehensive solution that will make sure that the process is accurate and the results are delivered as promised.

Indium Software’s Best Practices For DQV

Right from requirements gathering to the delivery and maintenance, Indium Software has a process-oriented approach that covers the following:

Understand the business requisites

Test case design and preparation of test data

Final/summary report and result analysis

Test planning and estimation/assessment

Execution of tests with bug reports and closure

Test closure

We offer Data Quality Validation services irrespective of ETL tools or technology used. Our services include:

Navigation/GUI Testing

Navigation/GUI testing is equally important to ensure all aspects of front-end reports are covered, and corrective measures are applied.
Validation / Source-to-target Testing

Post the data transformation process, data correctness test is performed. Apart from validation of end-to-end data, our Software testing procedure also outlines remediation which ensures future data corruption does not take place.
Testing for Data Completeness

Following the validation testing, accurate loading verification into the warehouse is done by comparing validation counts, aggregates and spot checks. This is done on a timely basis between random actual and target data.
Metadata Testing

We have automated metadata testing procedures that include close checks on data type, data length, restrictions/index etc.
Incremental ETL Testing

We provide incremental ETL testing services to check the reliability of new and old data after the addition of new data. We will also verify that the updates and inserts are being processed as expected during the incremental ETL process.
Data Transformation Testing

Data transformation testing can get complicated at times since multiple SQL queries may need to be run to verify all transformation rules conform to the business rules. Our techniques ensure saving time on this tedious task.
Quality Testing/Reference & Syntax tests:

Our services help prevent: Syntax issues Incorrect reference type errors Bad data (invalid characters, invalid patterns) or bad data models (data types, precision, Null) affect the quality of data.
Production Validation Testing

In order to ensure accurate, reliable and consistent business information, our ETL Testing and Validation techniques ensure production reconciliation.
Application Upgrade/Migration Testing

Adapting your data warehouse to technological changes to be compliant and embracing new/advanced security and performance upgrades is a necessity. Our systematic testing approach with respect to migrating previous data into the new repository helps reduce substantial effort in the pre and post upgrade stage.

Data Quality Validation Tools Expertise

We have vast experience in automated, semi-automated and manual ETL testing. Our expertise with automated testing tools guarantees that only valid data will be delivered. Some of the popular tools in which we have our expertise are:

Tools Expertise

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