How big data benefits Business intelligence
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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.
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.
MSys Technologies solves complex big data challenges for global enterprises. As one of the leading Big Data Service Providers, MSys Technologies supports clients in refining their big data strategy by choosing the right tools, technologies and processes that help achieve strategic objectives. Our vendor-neutral Big Data Analytics solutions are tailored to customer’s current technology landscape, preferences and objectives. We enable enterprises to establish a well-defined modern architecture, which yields greater efficiency in their day-to-day processes. Our expertise in Hadoop-based platforms, MPP databases, cloud storage systems and other emerging technologies help organizations harness the power of big data to improve business outcomes.