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Can I read Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing on EtoBox?
Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing by Amandeep Singh; IGI Global is a nonfiction available to read on EtoBox.
What is Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing about?
The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers. Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful a
Who reads Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Amandeep Singh; IGI Global
- Publisher
- IGI Global, Business Science Reference
- Published
- 2021
- Language
- EN
- ISBN
- 9781799872320
- Category
- nonfiction
- Subjects
- Marketing, Science, Management
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