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Big Data is a software utility technology used to capture, store and analyze large volume of data collected from multiple sources for enhanced decision making. Big Data Concept Big Data terminology explains storage and analysis of complex and high volume data that is practically impossible to process by human brain. Therefore, this software utility technology emerged as a solution to comprehend high velocity data to provide deeper insights and enhance decision making process. To simply put in layman language, it is nothing but collection of large volume data. Nowadays, companies are focused towards customer centric approach to offer premium product/ service quality and support. This can be very well possible when the information comes from the horse’s mouth. And, no one can be better at it than your target customer itself. Big Data lets you capture and store information of your buyer persona through his/ her social media accounts, cookies, buying history, interests and behavior, demography, geography and many such attributes. Big Data and Analytics Correlation Analytics have always existed. For most of the years, analytical techniques like text, statistics, diagnostic, predictive and prescriptive analysis have been used over coque iphone 6s koba la d and over by companies around the globe to understand the patters and behavior of buyers. However, the data to be analyzed in traditional times was limited. But, in contrast to older times, the present day produces data in numerous facets coque iphone 6s silicone diamant that is hypothetically impossible to analyze manually. This is when big data comes into the picture. Its potential to handle humongous volume of data helps users get a unified view to diversified information through a single channel. Big Data Analytics deals with analyzing three types of data high volume, high velocity, and high variety. A company therefore, can tackle depending on its quantity, speed, and type. Key Big Data Analytics Technologies Data Mining: To address delicate business concerns, it is vital to discover patterns and which efforts reaped benefits, while which went down the drains. Data mining helps in removing redundancy and present the relevant information alone to boost the decision making speed. Text Mining: Various interactions being carried out on social media, SMS and emails can be used to identify buyer behavior and buying pattern. This helps in mitigating the bounce rate and leveraging relevant traffic and engagement. Predictive Analysis: Using machine learning techniques and statistical analysis, it is possible to anticipate future outcomes on the basis of historical data. This can save companies the actual coque iphone xr transparente souple damage that could happen by literally experiencing the mishap in person. Hadoop: It is an open source framework that is used to store coque iphone se coque galaxy a40 disney disney pas cher and deploy massive amount of data on hardware. This computing model offers a quicker access to data and its different varieties. This helps companies save time and increase efficiency. Data can be captured even through an unstructured source There is no limit to whatsoever data you want to capture This will help you get insights about potential audiences at your fingertips Marketing teams can create better demand generation strategies Sales and customer service representatives can identify the historic communication trail Data can be stored jetech coque galaxy s7 in various types and forms Even the highest speed data can be captured and stored It is possible to facilitate predictive analysis coque samsung galaxy j6plus to save future damageBig data organizes massive amount of data in structured and unstructured format through eclectic sources like social media, website, emails, audio video clips and text files to comprehend and analyze this data in real time solde coque iphone 6s for enhanced productivity. CRMcustomer relationship management software services in India allows facilitates data analysis, segmentation and execution. 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