What is Big Data as a Service?

Matthew Rhodes | 11 September 2017

Sorting through millions of social media posts or the shopping activity of endless online consumers to stay competitive is no trivial task. What if there was an easier way to get the valuable insights you need?

Enter a new way

Just as Software as a Service (SaaS) took away the hassle and expense of enterprise software by putting it in the cloud, the new concept of Big Data as a Service (BDaaS) is making it much easier to extract intelligence from massive tranches of data.

For example, IBM recently launched its Analytics for Twitter service, which provides businesses with access to data and analytics on the social platform’s 280 million monthly active users and 500 million tweets per day. The idea is to provide consultancy, analytical tools and applications for making sense of that messy and unstructured data.

We think this kind of service could get very big indeed.

Big Data for all

The real value of BDaaS is that organisations, particularly SMEs, don’t have to host the infrastructure for big data analysis themselves. They can access the infrastructure for big data analysis through the internet and gain the information that is actually of value. From there, modelling and other data-driven methodologies can determine the best business strategies.

There are caveats, of course. As with any data services strategy, BDaaS requires organisations to have the right data, the right security and the right governance. When done properly, however, data can be harvested through the cloud and employed to develop better business tactics for delivering a business’s goals.

Time to think again?

There’s no doubt that BDaaS can be a highly effective business tool. At the very least, it will open the possibilities of big data to a whole range of organisations that previously thought it wasn’t accessible for them.

Does that sound like you? We’d be happy to talk you through your options.

Tags

Analytics for Twitter BDaaS Bid data as a service Big data Cloud Data analytics

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