Category: Big Data Analytics

Big data analytics is defined as the complex process of examining and processing large amount and varied amount of data sets or big data to reveal the truth by examining hidden patterns, unknown correlations, fluctuations in market trends, customer choices and preferences. This information can help business organisations to plan according to the customers choice and make important business decisions. Big data analysis continuously processes huge data and extract information that traditional applications lack to do.

Big data analysis consist of all three types of data- structured, unstructured and semi-structured data. This analysis highlights the current market scenario, customer preferences and other patterns necessary for business growth and management. Big data analysis helps to analyse the data and draw an important conclusion using an application of data science and algorithms. Big data analytics in the form of advanced analytics which uses advance algorithms of predictive analytics, statistical algorithms and what-if-analysis.

Big data Analytics serves as analytics professionals such as data scientist and data analysts the ability to analyse Big data from multiple and varied sources. These sources include structured, unstructured and transactional data sources. Big data analytics provides an efficient path for the success and growth of the business organisation. Big data analytics have several benefits such as effective marketing campaigns, the discovery of new product, make effective operation, and operating management.