KuppingerCole's Advisory stands out due to our regular communication with vendors and key clients, providing us with in-depth insight into the issues and knowledge required to address real-world challenges.
Compare solution offerings and follow predefined best practices or adapt them to the individual requirements of your company.
Meet our team of analysts and advisors who are highly skilled and experienced professionals dedicated to helping you make informed decisions and achieve your goals.
Meet our business team committed to helping you achieve success. We understand that running a business can be challenging, but with the right team in your corner, anything is possible.
BigID aims to transform how enterprise protect and manage the privacy of personal data. Organizations are facing record breaches of personal information and proliferating global privacy regulations like the EU GDPR with fines reaching 4% of annual revenue.
Today enterprises lack dedicated purpose built technology to help them track and govern their customer data at scale. By bringing data science to data privacy, BigID aims to give enterprises the software to safeguard and steward the most important asset organizations manage: their customer data.
The EU GDPR requires covered organizations to be able to account for and document how personal data is collected, processed and shared. What many companies often fail to realize is that this data is not only stored in specialized and appropriately secured silos such as databases. In fact, the vast majority of their business information is in unstructured and semi-structured formats, distributed across multiple systems an services. Without consistent visibility into whose data is processed across these environments, organizations cannot adequately account for how personal data is processed - as well as lose the context they need to identify security and compliance issues such as excessive privileges. To both address the compliance need for accountability and the security need for visibility, a new approach to data understanding is needed.
