Want to innovate faster with your big data? Then it’s time to think about the cloud.
Cloud technology can create numerous benefits for any given company. Faster, cheaper, more flexible and easier to keep up to date, there are numerous business benefits. Most importantly, a well-thought out and well-implemented cloud environment can help companies drive innovation — especially since it makes big data analytics more impactful than ever.
Innovating in the Cloud
For a long time, Facebook’s motto was “ move fast and break things .” With Facebook, the idea was to implement as many features and explore as many opportunities as possible. If a feature broke, they could fix it and improve it. Facebook did eventually move away from breaking their site, but they continue to encourage an innovative culture.
The cloud makes an agile culture more possible than ever. Cloud computing is a maturing market, and a number of large companies are starting to build efficient and elastic cloud environments. Those environments are already deployed on pools of server, storage and networking resources. They’re usually more cost effective, which improves the ROI on Big Data technologies and advanced analytics.
Ultimately, cloud technologies embrace and encourage a fast-moving, innovative environment where teams can utilize the cloud to store more data and discover new use cases for their data. quickly figure out if a new product, service or idea will be a success or failure. A feature can be pushed out within a matter of months or even weeks, tested and expanded, depending on whether or not it really adds value.
Sharing Big Data in the Cloud
This is true not just for tech stars like Facebook, but also more traditional companies. In the enterprise world, big data is now essential. And utilizing the cloud makes it easier to track, analyze and ultimately act on insights. Combined, big data and the cloud can offer tremendous value to all kinds of companies.30
Before the cloud era, it was far too tempting for business processes to become mired in silos. Teams often found it difficult to share insights widely. Coordination was cumbersome, sharing was difficult and transferring data, especially large amounts of it, was slow.
