53% Of Companies Are Adopting Big Data Analytics
53% Of Companies Are Adopting Big Data Analytics
Big data adoption reached 53% in 2017 for all companies interviewed, up from 17% in 2015, with telecom and financial services leading early adopters. (Dresner Advisory Services' insightful 2017 Big Data Analytics Market Study 94 pp., PDF, client accessed reqd), over half of the companies, made good use of big data. Data warehouse optimization is considered the most important big data analytics use case in 2017, followed by customer/social analysis and predictive maintenance. Big data analytics use cases vary significantly by industry with data warehouse optimization dominating financial services, healthcare, and customer social analysis is the leading use case in technology-based companies. Spark, MapReduce, and Yarn are the three most popular software frameworks today.
Take an example of a big data application – Amazon's "Information Company." As an "information company", Amazon not only obtains information from each user's purchase behavior, but also records all the behavior of each user on their website: time on page, whether the user views comments, and the key to each search Words, browsed products, etc. This high sensitivity and emphasis on the value of data, as well as powerful mining capabilities, makes Amazon far beyond its traditional operating methods. Amazon CTO Werner Vogels gave a speech on big data at CeBIT, describing the business blueprint of Amazon in the era of big data to the participants. For a long time, Amazon has been through big data analysis, trying to locate customers and obtain customer feedback.
link: https://www.forbes.com/sites/louiscolumbus/2017/12/24/53-of-companies-are-adopting-big-data-analytics/#59b6630539a1
Big data adoption reached 53% in 2017 for all companies interviewed, up from 17% in 2015, with telecom and financial services leading early adopters. (Dresner Advisory Services' insightful 2017 Big Data Analytics Market Study 94 pp., PDF, client accessed reqd), over half of the companies, made good use of big data. Data warehouse optimization is considered the most important big data analytics use case in 2017, followed by customer/social analysis and predictive maintenance. Big data analytics use cases vary significantly by industry with data warehouse optimization dominating financial services, healthcare, and customer social analysis is the leading use case in technology-based companies. Spark, MapReduce, and Yarn are the three most popular software frameworks today.
Take an example of a big data application – Amazon's "Information Company." As an "information company", Amazon not only obtains information from each user's purchase behavior, but also records all the behavior of each user on their website: time on page, whether the user views comments, and the key to each search Words, browsed products, etc. This high sensitivity and emphasis on the value of data, as well as powerful mining capabilities, makes Amazon far beyond its traditional operating methods. Amazon CTO Werner Vogels gave a speech on big data at CeBIT, describing the business blueprint of Amazon in the era of big data to the participants. For a long time, Amazon has been through big data analysis, trying to locate customers and obtain customer feedback.
link: https://www.forbes.com/sites/louiscolumbus/2017/12/24/53-of-companies-are-adopting-big-data-analytics/#59b6630539a1
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