As financial services organizations become increasingly dependent on data, it is critical to ensure that data is properly identified, organized, secured, and governed. Creating a solid data governance foundation will reduce risk while also increasing the ability to harness the value of data to drive business results.
Organizations now have massive volumes of data about their customers, clients, suppliers, patients, workers, and other stakeholders. Data governance will guarantee that your data is trustworthy, well-documented, easy to discover and access, safe, compliant, and confidential.
An API-first strategy can be a competitive game changer for many businesses, but ensuring businesses stay within data security and governance requirements is critical. Companies need to adopt effective API security and data governance programs.
Technologies have helped creating a comprehensive modern data ecosystem deliver data value easier and faster may have made data governance and protection appear more difficult.
Organizations that have more mature data governance and information security programs are likely to have some level of integration between these functions already, but many continue to struggle with the idea and often treat them as separate, siloed programs.
As Data Privacy Day approaches on January 28, it’s the perfect time for enterprises to reevaluate the way they safeguard data to ensure they’re maximizing its value while still mitigating risk to data subjects or brand safety.
Data intelligence is not a cybersecurity solution to prevent hackers from stealing information, however it gives organizations the visibility to their data ecosystem and the agility to handle breaches.
All U.S. government agencies are expected to create annual action plans in 2019-2020 to support the new Federal Data Strategy. What are the possible privacy and security implications?