There’s a lot of talk in the market about how SaaS Big Data analytics solutions are “the next big thing”. Bernard Marr’s article in Forbes offers a detailed explanation of what it is and how leading companies are already taking advantage of it. The praise these SaaS solutions are getting center around how they have the potential to:
Despite the overarching “don’t worry about what’s under the hood” benefit, some potential adopters are still taking pause, thinking about data security, which inherently is an “under the hood” question. In fact, according to the 2015 Future of Cloud Computing Survey by North Bridge, the top three inhibitors to cloud adoption were all security related:
This concern is compounded with all the market excitement around big data analytics, realizing that it often uses data that is valuable and possibly sensitive, like information about customers, operations, suppliers, transactions and more. Part of the reason this data is so valuable is because of the insights it can provide.
So, what’s the path forward when you don’t have these skills on staff, but you still want to move forward with a SaaS big data analytics solution? There is only one way to answer cloud security concerns – implement a cloud architecture with all the security and privacy companies require that can also help meet regulatory compliance where it is needed. Start by asking the following questions.
When you talk to SaaS big data analytics suppliers, start by asking what security features they offer – if any at all. Some suppliers will say “you have to do this on your own.” That should be a non-starter. If they do offer security features, look for the following, specifically:
If you’re interested in learning how Datameer Cloud stacks up to these criteria, be sure to check out the following: