In our Big Data Round-Up series, PHEMI’s roving reporter brings you thought-provoking articles, resources, and insights that have caught our eye.
Software companies from all over the world – including heavyweights like SAP and Oracle, and new visionaries like PHEMI – are strengthening their data privacy capabilities to meet increasing demands from businesses and consumers.
Changing data sovereignty laws and an increasing focus on data security are forcing data software companies to adapt. In the case of SAP, Computer Weekly reports, new laws in Russia and growing concerns in Hungary, among other countries, have resulted in changes to their services. Rather than relying on support from overseas, which can be perceived as a liability to data security, European datacentres will have access to SAP technicians who work within their continent.
Though the concept of data sovereignty can be contentious, sovereignty laws do reflect an increasing international concern over how we govern and secure our data. Russia requires all data on Russian employees to be stored and accessible on a datacentre within the country. These laws are forcing HR departments, in particular, to adopt new architectural models and turn towards innovative technological solutions that can meet these new requirements. In response to Russia’s legislation, SAP is working with multinational corporations on “technology that will store HR data in a Russian datacentre, then automatically replicate it to HR systems outside the country.”
Around the world, similar laws and demands from consumers are changing how all industries do business and how they protect their data. The core of all these concerns is the question of access. Who has access to a given dataset? Does your solution have the sophisticated access controls necessary to ensure your data is private and secure?
Applications and data management systems will have to answer these questions, and their answers are likely to result in new privacy management features. These features may include the ability to tag data with privacy information, such as for whether the data is private, for geographical restrictions, and for other governance tags. Additionally, tags may be paired with a policy engine that will apply rules in accordance to the data’s tags, controlling the movement of the data, access to the data, and storage of the data. For example, these tags can be used to automatically manage how long a given piece of data should be kept.
As data security becomes even more important to consumers and governments alike, adopting technology that allows you to securely store and govern your data now—and flexibly adapt your data policies to respond to future data legislation—will become an essential to meeting modern security expectations.