Cquensys understands the need to be proactive and adaptable in the planning, oversight, and management of captured, stored, accessed, and processed data to provide enterprise-wide transparency.
The data governance strategies and policies we design and create have these in mind. Policies that we create to describe user roles, metrics, rights and responsibilities aim to ensure high-quality data.
Data Quality Management
We make sure that you can trust your data by providing a framework to prevent low-quality data such as incomplete, erroneous or duplicate data from entering data systems, solutions, and enterprise-wide platforms.
Our experts can drive source readiness, data profiling, measuring, and development of key performance indicators (KPIs) and monitoring tools. We run data quality assurance and testing services to support multiple forms of development including agile, waterfall, and DevOps to make your company’s insights true to life.
Master Data Management
Cquensys creates clear enterprise-wide strategies to assess and manage internal & external data sources and ensure accurate, uniform and consistent data assets.
Reference Data Management
Our experts centralize reference data codes to simplify master data harmonization across multiple enterprise systems.
We analyze your business and the best approach to enterprise information management to develop a data privacy and protection framework that adheres to U.S. data privacy laws and safeguards your data resources.
Access & Use Management
Our experts aim to streamline access management to monitor user access permissions and rights to files or systems to ensure security, prevent data loss and protect business-critical systems and data.
Security & Tag Management
To create a better, more efficient user experience, our experts develops a system that simplifies the management of tags (snippets of code that pertain to data) on digital properties by providing an interface or platform to organize and manage data.
We support the development of custom automated processes and workflow infrastructure to effectively manage data according to service level agreements.
Information Lifecycle Management
To ensure data governance and compliance, we create Information Lifecycle Management (ILM) solutions such as database archiving, test data management, data privacy, data masking, and data/application retirement that aim to optimize data retention and storage.
Our solutions are designed to improve the performance of enterprise applications, reduce infrastructure costs, and provide governance, risk and compliance frameworks for enterprise data.