Write short notes on the following: Big Data Analytics.

Big Data Analytics: It is the process of examining large amount of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantage over rival organizations and result in business benefits, such as more effective marketing and increased revenue. The primary goal of big data analytics is to help companies make their decisions by enabling data scientist and other users to analyse huge volumes of transaction data as well as other data sources that may be left untapped by conventional business intelligence programs. The other data sources may include web server logs and internet click stream data, social media activity reports, mobile phone call detail record and information captured by sensors. Some people exclusively associate big data and big data analytics with unstructured data of that sort, but consulting firms consider transactions and other structured data to be valid from a big data. Following are some of the numerous benefits of Big Data Analytics: Cost Reduction: Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business. Faster, Better Decision Making: With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately and make decisions based on what they've learned. New Products and Services: With the ability to gauge customer needs and satisfaction through analytics comes the power to give customers what they want.