Jabatan Ukur dan Pemetaan Malaysia - JUPEM
Monthly EDM - December
English & Bahasa Malaysia Version
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.
The importance of big data analytics
Driven by specialized analytics systems and software, as well as high-powered computing systems, big data analytics offers various business benefits, including:
-New revenue opportunities
-More effective marketing
-Better customer service
-Improved operational efficiency
-Competitive advantages over rivals
Big data analytics applications enable big data analysts, data scientists, predictive modelers, statisticians and other analytics professionals to analyze growing volumes of structured transaction data, plus other forms of data that are often left untapped by conventional BI and analytics programs. This encompasses a mix of semi-structured and unstructured data -- for example, internet clickstream data, web server logs, social media content, text from customer emails and survey responses, mobile phone records, and machine data captured by sensors connected to the internet of things (IoT).
