The data volumes stored by enterprises are in several billions and even trillions in most cases. Indium’s team of experts use validation rules to make sure that data is cleansed thoroughly and the quality of data is immaculate. We validate, systematize and enrich the data using our Data Quality Validation process. We have successfully delivered projects with large volume and complexity of data in the past. Our customers have achieved next level of technology transformation with the historical data and primed for effective decision making.
ETL is a tedious process without which the data source may not be mapped properly or executed properly. Moreover, the data received from various sources lack cohesion. At Indium, we ensure that we identify and eliminate the data errors that occur during data processing. To solve the business needs, we have developed a comprehensive solution that will ensure the process is accurate and the results are delivered as promised.

Phases of Data Quality Validation
- Understand the requisites of the business.
- Test Planning and Estimation/Assessment
- Test Case Design and Preparation of Test Data
- Execution of tests with Bug reports and closure
- Final/Summary report and result analysis
- Test Closure
Process
- Data source identification and Requirements identification
- Acquisition of Data
- Business Logic implementation and dimensional modeling
- Data building and population
- Report building
Benefits of Data Quality Validation
Qualitative, accurate and healthy data ensures
- Improved decision making
- Higher Data Accuracy
- Create a better business strategy with realistic goals
- Enhanced profit margins
Data Quality Validation Tools
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 to you. Some of the popular tools in which we have our expertise are

Informatica™ Data Validation

QuerySurge™

ICEDQ

ETL Validator

QualiDI

Talend Open Studio for Data Integration

Apache Griffin