Big Data: Deriving Business Value byleveraging Customer Intelligence
Keywords:
Big Data, Data Analytics, Customer Analytics, Customer Intelligence, Customer-CentricAbstract
Businesses are approaching times where ‘Customer Experience’ and ‘Customer Experience Management’ (CEM) are taking the center stage for planning of marketing and business strategies. When we talk of big data Analytics helping to improve Business Intelligence, it all comes down to Customer Intelligence. Not only how to improve services andproducts, but how to provide customized services for customers. Customer-centric organizations and businesses have a definite advantage over their counterparts who are investing in traditional product-centric values. There is an increasing consensus among the business communities that using and relying on big data analytics is going to be an indispensable and integral part of developing Business Intelligence. Big data Analytics are helping businesses with millions of customers to identify individual customer needs by bringing unstructured data into fold. This paper is aimed to examinethe facet of how Big Data Analytics is being used to gain better insights into Customer Intelligence and helping organizations make better Business decisionsto gain competitive advantage.
References
B. Taylor, "Listen, learn, and execute to effectively use big data in customer analytics," 16 June 2014. [Online]. Available: http://www.techrepublic.com/article/listen-learn-and-execute-to-effectively-use-big-data-in-customer-analytics/.
"CMO Council finds big data critical to customer-centric cultures," 2 April 2013. [Online]. Available: http://www.cmocouncil.org/press-detail.php?id=4335.
T. Friedman, ""A Theory of Everything (Sort of)."," 14 August 2011. [Online]. Available: http://www.nytimes.com/2011/08/14/opinion/sunday/Friedman-a-theory-of-everyting-sort-of.html.
T. H. Davenport, "Analytics 3.0," Harvard Business Review, December 2013.
E. L. R. S. M. S. H. a. N. K. Steve LaValle, "Big Data, Analytics and the Path from Insights to Value," 2011. [Online]. Available: http://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to-value/.
H. M. Cooper, Synthesizing Research: A Guide for Literature Reviews, Sage Publications, 1988.
Clive Humby (Chief Data Scientist, Stacount and Board Member, Friends of the Royal Academy at Royal Academy of Arts. London, United Kingdom).
McKinsey Global Institute, [Online].
Prasad Illapani, "SAP HANA Blog," SAP, 29 August 2012. [Online]. Available: https://blogs.saphana.com/2012/08/29/big-data-for-enterprise-customers-leveraging-hadoop-distributed-file-system-dfs-and-sap-real-time-data-platform-sap-hana/?author=authors/steve.lucas.
P. Russom, "tdwi research," August 2013. [Online]. Available: https://tdwi.org/research/2013/08/tdwi-checklist-report-operational-intelligence-real-time-business-analytics-from-big-data.aspx?tc=page0.
Mark Troester, Big Data meets Big data Analytics, SAS Institute Inc., 2012.
C. Warenham, "Analytics: Why Big Data is different form Customer Analytics," Adobe, 6 Feb 2014. [Online]. Available: https://blogs.adobe.com/digitalmarketing/analytics/big-data-different-c.
P. Russom, "Big Data Analytics," TDWI, Renton, 2011.
A. McKibbin, "Why your customers want you to figure out big data.," Dell, 2015. [Online]. Available: https://powermore.dell.com/business/why-your-customers-want-you-to-figure-out-big-data/.
NG DATA, "NG Data Blog," NG Data, 2013. [Online]. Available: http://www.ngdata.com/blog/.
McKinsey & Company, "Data Analytics and Advanced Analytics".
A. Payne and P. Frow, "Customer Relationship Management: A strategic perspective," Journal of Business Market Management, vol. 3, pp. 7-27, 2009.
M. Friedewald and O. Raabe, "Ubiquitous computing: An overview of technology impacts," Telematics and Informatics, vol. 28, pp. 55-65, 2011.
C.-h. Liu, "A Conceptual Framework of Analytical CRM in Big Data Age," (IJACSA) International Journal of Advanced Computer Science and Applications,, vol. 6, no. 6, pp. 149-152, 2015.
N. Agnihotri and A. K. Sharma, "Proposed Algorithms for Effective Real Time Stream," in 2015 Third International Conference on Image Infonnation Processing, 2015.
J. Rabinowitz, "Panaromic power blog: Fuelling operational efficiency with Big Data," Panaromic Power, 2016. [Online]. Available: http://www.panpwr.com/blog/fueling-operational-efficiency-with-big-data.
N. Agnihotri and A. K. Sharma, "BIG DATA ANALYSIS AND ITS NEED FOR EFFECTIVE," International Journal of Innovations & Advancement in Computer Science, vol. 4, no. Special Issue, pp. 219-224, 2015.
Miller, Dan, "Predective Analytics Report: Using Big Data to Improve Multichannel Customer Care," Opus Research, 2014.
C. Russell, "In-memory and In-line Analytics: The shape of things to come," 22 May 2015. [Online]. Available: http://www.ibmbluhub.com/duckworth-in-line-analytics/.
Chappelle, Dave, "Big Data & Analytics Reference Architecture," Oracle, CA, 2013.
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