Big data is a big phenomenon—one that can overwhelm you in an unimaginably large scale. With the progress of technology firms through the Internet, it has become quite apparent that big data would have importance beyond all scales.The term big data is applied to unstructured, highly complex collection of data that warrants special processing technologies. It simply cannot be processed like regular data that you are familiar with.

Today’s organizations are increasingly looking for ways to uncover actionable insights, correlations, and hidden patterns from hoards of data lying around. Organizations such as Google, Facebook, and Microsoft have immense stores of big data and they use specific analytics tools to make sense of them.

BI and Big Data

Over the past few decades enterprises saw a gradual evolution of data management technologies from OLTP (Online Transaction Processing) to data warehousing and business intelligence. The latest trend in this data management technologies may be big data. Almost every large enterprise is using big data in its business advancement environments.

Business intelligence accelerates major business decisions made by IT organizations today. Enterprises today store transactional data on big data warehouses and make use of this data for various analysis purposes. Although the business intelligence tools have existed for quite a while in the enterprises, the tools and technologies for BI requires a revisit to accommodate one of the biggest changes that happened in the IT organizations today—advent of big data.

How does Big Data Benefit Business Intelligence?

Big data comes with some heavy advantages that can transform businesses completely. Some of them are:

  • Highly scalable: While the traditional DataStack platform is unable to scale to heavy workloads, big-data-based platform can scale almost infinitely.
  • Cost savings: Most of the big data platforms are coming with open-source licensing options. Cost of ownership, hence, is significantly less with big data BI architecture.
  • MapReduce: Programming interface MapReduce provides powerful custom data management and processing capabilities.
  • Unstructured data support: One major advantage of big data is that it supports structured, semi-structured, an unstructured data elements.

Conclusion

Enterprises should leverage big data for enterprise business intelligence by incorporating them in the existing BI architecture. The advantages of doing this has been discussed at length already. Also, the cost for doing this may be well justified when you reap the myriad business benefits.