Data and Information Governance
We guide organizations through the transition period of collating and collecting their massive data sets and help them build a refined data governance strategy. Our aim is to ensure that the data is proactively and efficiently managed throughout your company in a standardized format and can be accessed and used when needed. This is particularly important in the wake of international regulations such as the EU’s General Data Protection Regulation (GDPR) as well as national data protection legislation.
Our data governance services team works together with your organization to capture your business objectives, analyze current compliance levels, and minimize the risk of poor data quality while following data protection procedures in order to help you achieve your data governance goals.
Privacy Framework Development
Symptai helps organizations better identify, assess, manage, and communicate privacy risks, and foster the development of innovative approaches to protecting individuals’ privacy; and increase trust in your products and services.
While good cybersecurity practices help manage privacy risk by protecting people’s information, privacy risks also can arise from how organizations collect, store, use, and share this information to meet their mission or business objectives, as well as how individuals interact with products and services. Symptai helps organizations design, operate, or use these products and services that better allow them to address the full scope of privacy risk and implementation of privacy protections.
Privacy Impact Assessment
A Privacy Impact Assessment, or PIA, is an analysis of how personally identifiable information (PII) is collected, used, shared, and maintained. Why do it? If your organization needs to comply with the GDPR, a PIA will demonstrate that program managers and system owners have consciously incorporated privacy privacy protections throughout the development life cycle of a system or program. Since one of the stipulations of the GDPR is a requirement that the design of systems and processes are required to have the principles of data protection “built-in” from the beginning of a project, doing a PIA becomes a necessity rather than a “nice to have”.