Many businesses find it hard to consider using cloud analytics with big data because of all the news about data breaches, data availability, converting costs, and return on investments.
However, these same points are the reasons for converting to the cloud for analytics. Not only is it economical and more secure than a private data center, it is easier to use over diverse locations. In addition, cloud providers have the infrastructure to offer faster access to data.
Security of cloud data
Cloud providers have the personnel available to patch servers and software and provide 24/7 security from hackers. Using state-of-the-art security measures and infrastructure, they provide security monitoring and assess threats in real time.
Highly available data
Cloud analytics with big data is the focus of all service providers today. By optimizing networks and using superior technology, any employee or department can assess data at faster speeds than most organizations.
Cloud analytics offer scalability, flexibility, and a wide variety of data storage and analytics as compared to traditional software. Businesses can add licenses and increase their use as the business grows without any upfront buy-ins.
Easy to use
Speed and ease of use are top concerns for organizations. In fact, a recentEnterprise Management Associates survey of more than 250 businesses noted that speed was one of three top factors for using cloud analytics. In addition to speed, businesses can get actionable information to help improve performance, increase profits, and find the best way to progress.
Businesses do not have to purchase software and hardware to house their own private data cloud, and they also get upgrades, knowledgeable staff, and 24/7 support when needed. Being able to get help when needed and having staff available who can answer questions may in itself be enough to convert most.
Cloud analytics has become an easy transition for many businesses looking to secure data and gain fast and easy access to it anytime, anywhere. For many businesses, it frees up resources and is financially feasible. Many of the commonly voiced issues regarding cloud analytics are debunked by statistics that show that cloud is here to stay.