Why Data Quality Matters?

The hallmark of data quality is how good data supports the context in which it’s consumed. With information architectures growing larger, more diverse, and more complex, the need to effectively monitor and control quality of data becomes important. As data is a critical factor in the decision-making process within an enterprise, Data Quality gains significance.

Within an organization, acceptable data quality is crucial to operational and transactional processes and to the reliability of business analytics (BA) / business intelligence (BI) reporting and enhanced and de-duplicated customer data for effective marketing.

SYNTAX Offerings

SYNTAX offers a repetitive and proven on going Data Quality Management process which entails the establishment and deployment of roles, responsibilities, policies, and procedures concerning the acquisition, maintenance, dissemination, and disposition of data.

SYNTAX solutions help guide data quality initiatives from the initial step of profiling to the ongoing discipline of continuous monitoring and optimization.

The methodology aligns with the Industry standards to deliver the full range of data quality capabilities that Organizations require to ensure that all its data is complete, consistent, accurate, and current.

Ensure that authoritative and trustworthy data is available to all stakeholders and data domains, for all projects and business applications, enabling your company to trust all of its data, for all its needs, at all times.