Data quality plays an important role in an organization as it enables measuring how well its organizational data practices gratify business, technical, and regulatory standards. High data quality enables an organization to increase efficiency, enhance customer service, and drive profitability whereas poor data quality results attract conflicting reports, flawed business plans, resulting in erroneous decisions due to outdated, inconsistent, and invalid data
Birlasoft Data as a Service (DaaS) practice helps businesses complete conversions and migrations efficiently and effectively. Birlasoft's experts handle the data validations, standardizations, transformations, and quality checks, while our customers focus on testing and functional training within their organizations. By using data cleansing as a service, rather than as an implementation, clients can achieve their data cleansing goals without the overhead of implementing a data quality tool themselves. Birlasoft's deep experience with similar conversions across industries and multiple source and target systems adds a valuable perspective to each project.