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Enriching User Experience by Transforming Consumer Data Into Deeper Insights

Enriching User Experience by Transforming Consumer Data Into Deeper Insights

Devesh Bathla, Shraddha Awasthi, Kuber Singh
Copyright: © 2021 |Pages: 18
ISBN13: 9781799872313|ISBN10: 1799872319|ISBN13 Softcover: 9781799872320|EISBN13: 9781799872337
DOI: 10.4018/978-1-7998-7231-3.ch001
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MLA

Bathla, Devesh, et al. "Enriching User Experience by Transforming Consumer Data Into Deeper Insights." Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing, edited by Amandeep Singh, IGI Global, 2021, pp. 1-18. https://doi.org/10.4018/978-1-7998-7231-3.ch001

APA

Bathla, D., Awasthi, S., & Singh, K. (2021). Enriching User Experience by Transforming Consumer Data Into Deeper Insights. In A. Singh (Ed.), Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing (pp. 1-18). IGI Global. https://doi.org/10.4018/978-1-7998-7231-3.ch001

Chicago

Bathla, Devesh, Shraddha Awasthi, and Kuber Singh. "Enriching User Experience by Transforming Consumer Data Into Deeper Insights." In Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing, edited by Amandeep Singh, 1-18. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7231-3.ch001

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Abstract

In every field, during a particular era, there is someone who stands up to a cause. There is a “North Star” in the sky to guide the “navigator” who might erringly go astray to reach the destination. The star gives direction through sheer stability. Consumer analytics as such is widely accepted throughout the world. It especially has a firm footing in enriching user experience thanks to the gigantic data collection exercise. The popularity seems to have stemmed from the fact that analytics is the real “navigator” based on data facts and the panacea for the business problems and leads the way forward whenever required. Customer journey analytics is a key instrument in the profitability framework. It also aims to provide a view of customers that is essentially dynamic in nature and other key data points observed during the life cycle of a customer. It further covers ahead of the prevailing product ownership and user data for inculcating the information such as digital channel interactions, social media, voice-of-the-consumer interactions, sentiment analysis, and more.

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