Bi And Big Dat The Transformation Of Raw Data Into Meaningful And Useful Information For Business Analysis

3412 Words Aug 8th, 2015 14 Pages
BI and Big Data

Abstract:

As Wikipedia’s explanation, Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. It is a solution package, to integrate all the existing data of organizations efficiently, provide accurate report to support high level managers to make business strategic decision. BI is not a new concept, it was introduced in 1996 for the first time. As the development of BI is the ETL technologies, ETL stands for Extraction Transformation Loading. Data integration platforms focus on extracting and transforming various business data, to support the requirement of Business intelligence, Data Warehouse against the data format and data mining.

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Big Data focus more on finding new correlations of massive of data sets not only the causation. Big data as a term maybe new, but many IT and business analysts have worked with huge amount of data in various industries for years.

Big data application is booming these years, because organizations gradually realized the value of unstructured data which could hit terabytes even petabytes level. Such as social media and other sources. The way that Traditional Business Intelligence processing structured data could not handle massive unstructured data. Which raise new requirement for BI to have the…
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