{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T17:28:25Z","timestamp":1762018105683},"reference-count":40,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,1,1]]},"abstract":"<p>This article describes how in today's hyper-competitive environment, business leaders around the world are using analytics technologies to create business values, and to gain a better understanding of their customer's needs and wants. However, traditional business analytics are undergoing major changes. The Internet revolution, cloud computing, and the evolution to self-service analytics have all contributed to the changing dimensions of business intelligence. To compete effectively in a digitally driven world, business leaders must understand and address the critical shifts taking place in the field of analytics, and how these shifts impact their overall strategy. The key objective of this article is to propose a conceptual model for successful implementation of Embedded Analytics in organizations. This article also covers some of the potential benefits of analytics, explores the changing dimensions of analytics, and provides a guide to some of the opportunities that are available for using embedded analytics in business. Furthermore, this study reviews key attributes of a successful modern analytics platform and illustrates how to overcome some of the key challenges of incorporating embedded analytics into an analytic strategy in business. Finally, this article highlights successful implementation of analytics solutions in manufacturing and service industry.<\/p>","DOI":"10.4018\/ijbir.2018010102","type":"journal-article","created":{"date-parts":[[2018,3,27]],"date-time":"2018-03-27T18:45:29Z","timestamp":1522176329000},"page":"16-37","source":"Crossref","is-referenced-by-count":3,"title":["The Rise of Embedded Analytics"],"prefix":"10.4018","volume":"9","author":[{"given":"Mohsen","family":"Attaran","sequence":"first","affiliation":[{"name":"CSU-Bakersfield, Bakersfield, USA"}]},{"given":"Sharmin","family":"Attaran","sequence":"additional","affiliation":[{"name":"Bryant University, Smithfeld, USA"}]}],"member":"2432","reference":[{"issue":"July","key":"IJBIR.2018010102-0","article-title":"Why Big Data Means Big Opportunity for the Travel Industry.","volume":"9","author":"S.Adelman","year":"2015","journal-title":"Forbes"},{"key":"IJBIR.2018010102-1","unstructured":"Analyticsvidhya. (2015, September 21). 13 Amazing Applications\/Uses of data Science Today. Retrieved from https:\/\/www.analyticsvidhya.com\/blog\/2015\/09\/applications-data-science\/"},{"key":"IJBIR.2018010102-2","first-page":"07458","author":"A.Asllani","year":"2015","journal-title":"Business Analytics with Management Science Models and Methods"},{"key":"IJBIR.2018010102-3","doi-asserted-by":"crossref","unstructured":"Bughin, J. (2016). Big Data, Big Bang? Journal of Big Data, 3(2).","DOI":"10.1186\/s40537-015-0014-3"},{"key":"IJBIR.2018010102-4","unstructured":"Bughin, J. (2016). Big Data: Getting a Better Read on Performance. McKinsey Quarterly, February. Retrieved from https:\/\/www.mckinsey.com\/industries\/high-tech\/our-insights\/big-data-getting-a-better-read-on-performance"},{"key":"IJBIR.2018010102-5","unstructured":"Bulygo, Z. (2015, September 13). How Netflix Uses Analytics To Select Movies, Create Content, and Make Multimillion Dollar Decisions. Kiss Metrics. Retrieved from https:\/\/blog.kissmetrics.com\/how-netflix-uses-analytics\/"},{"key":"IJBIR.2018010102-6","unstructured":"Butler, C. (2017). 2017 State of Embedded Analytics Report. Logi Analytics. Retrieved from http:\/\/go.logianalytics.com\/rs\/793-ECD-841\/images\/2017%20State%20of%20Embedded%20Analytics_Logi_final.pdf"},{"key":"IJBIR.2018010102-7","doi-asserted-by":"crossref","unstructured":"Gomez-Uribe, C. A., & Hunt, N. (2016). The Netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems, 6(4).","DOI":"10.1145\/2843948"},{"issue":"December","key":"IJBIR.2018010102-8","first-page":"13","article-title":"Analytics 3.0","author":"T.Davenport","year":"2013","journal-title":"Harvard Business Review"},{"key":"IJBIR.2018010102-9","author":"J.Decker","year":"2017","journal-title":"Embedded Analytics for Dummies"},{"key":"IJBIR.2018010102-10","unstructured":"Diebold, F. X. (2012). On the Origin(s) and Development of the Term \u201cBig Data\u201d (PIER Working Paper 12-037). Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. Retrieved from https:\/\/economics.sas.upenn.edu\/sites\/economics.sas.upenn.edu\/files\/12-037.pdf"},{"key":"IJBIR.2018010102-11","unstructured":"Eckerson, W. (2016). Embedded Analytics: The Future of Business Intelligence. Eckerson Group. Retrieved from https:\/\/www3.technologyevaluation.com\/research\/white-paper\/embedded-analytics-the-future-of-business-intelligence.html"},{"key":"IJBIR.2018010102-12","unstructured":"Evelson, B., & Bennett, M. (2015). Quantify Tangible Business Value of BI. Forrester. Retrieved from http:\/\/www.lavastorm.com\/assets\/2015-Forrester-Quantify-Tangible-Business-Value-of-BI.pdf"},{"key":"IJBIR.2018010102-13","unstructured":"Feki, M., Boughzala, I., & Wamba, S. F. (2016). Big Data Analytics-enabled Supply Chain Transformation: A Literature Review. In 49th Hawaii International Conference on System Sciences."},{"key":"IJBIR.2018010102-14","unstructured":"Gartner. (2018). IT Glossary. Embedded Analytics. Retrieved from https:\/\/www.gartner.com\/it-glossary\/embedded-analytics"},{"key":"IJBIR.2018010102-15","unstructured":"Gartner. (2015). Gartner Survey Shows More Than 75 Percent of Companies Are Investing or Planning to Invest in Big Data in the Next Two Years. Retrieved from http:\/\/www.gartner.com\/newsroom\/id\/3130817"},{"key":"IJBIR.2018010102-16","unstructured":"Gaitho, M. (2017, August 8). How Applications of Big Data Drive Industries. SimpliLearn. Retrieved from https:\/\/www.simplilearn.com\/big-data-applications-in-industries-article"},{"key":"IJBIR.2018010102-17","unstructured":"Gets, J., & Reinsel, D. (2013). The Digital Universe in 2020. IDC."},{"key":"IJBIR.2018010102-18","unstructured":"Harris, D. (2017). A Guide to Embedded Analytics: Use Cases and Benefits. Software Advice. Retrieved from https:\/\/www.softwareadvice.com\/resources\/embedded-analytics-definition-and-examples\/#benefits"},{"key":"IJBIR.2018010102-19","unstructured":"Henke, N., Bughin, J., Chui, M., Manyika, J., Saleh, T., Wiseman, B., and Sethupathy, G. (2016). The Age of Analytics: Competing in a Data-Driven World. Mckinsey Global Institute."},{"key":"IJBIR.2018010102-20","unstructured":"Honda France (2013). Case Study. Yellowfin International Pty Ltd. Retrieved from https:\/\/portal.yellowfinbi.com\/Document.i4?DocumentId=242108"},{"key":"IJBIR.2018010102-21","unstructured":"Intel. (2017). Guide to Getting Started with Advanced Analytics. Intel Planning Guide. Retrieved from https:\/\/www.intel.com\/content\/www\/us\/en\/analytics\/getting-started-advanced-analytics-planning-guide.html"},{"key":"IJBIR.2018010102-22","unstructured":"IDC. (2017). \u201cWorldwide Semiannual Big Data and Analytics Spending Guide. Retrieved from https:\/\/www.idc.com\/getdoc.jsp?containerId=prUS42371417"},{"key":"IJBIR.2018010102-23","unstructured":"Koushik, R. (2011, May 27). Analyze This!: Analytics Explained and Applied. Capgemini. Retrieved from https:\/\/www.capgemini.com\/gb-en\/2011\/05\/analyse-this-analytics-explained-and-applied\/"},{"key":"IJBIR.2018010102-24","unstructured":"Lebied, M. (2016, Dec 15). Top 11 Business Intelligence and Analytics Trends for 2017. Business Intelligence. Retrieved from http:\/\/www.datapine.com\/blog\/business-intelligence-trends-2017\/"},{"key":"IJBIR.2018010102-25","unstructured":"Loshin, D. (2017, December 19). Five Steps to Build Better Predictive Analytics Applications. Retrieved from http:\/\/searchbusinessanalytics.techtarget.com\/tip\/Five-steps-to-build-better-predictive-analytics-applications"},{"key":"IJBIR.2018010102-26","unstructured":"Loshin, D. (2017, August 17). Ten Steps to Start Using Predictive Analytics Algorithms Effectively. Techtarget. Retrieved from http:\/\/searchbusinessanalytics.techtarget.com\/tip\/Ten-steps-to-start-using-predictive-analytics-algorithms-effectively"},{"issue":"September","key":"IJBIR.2018010102-27","article-title":"Big Data: 20 Mind-Boggling Facts Everyone Must Read.","volume":"30","author":"B.Marr","year":"2015","journal-title":"Forbes"},{"key":"IJBIR.2018010102-28","unstructured":"McAfee, A., & Brynjolfsson, E. (2012). \u201cBig Data: The Management Revolution.\u201d Harvard Business Review. Retrieved from https:\/\/hbr.org\/2012\/10\/big-data-the-management-revolution"},{"key":"IJBIR.2018010102-29","author":"D.McNeill","year":"2014","journal-title":"Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods and Best Practices"},{"key":"IJBIR.2018010102-30","doi-asserted-by":"publisher","DOI":"10.1002\/9781118562260"},{"key":"IJBIR.2018010102-31","unstructured":"Perrin, A. (2015). One-fifth of Americans report going online-almost constantly. Pew Research Center."},{"key":"IJBIR.2018010102-32","unstructured":"Phillips, J. (2014). Analytics 3.0: The Era of Impact. International Institute for Analytics. Retrieved from https:\/\/www.sas.com\/content\/dam\/SAS\/en_us\/doc\/event\/The-Era-of-Impact-127837.pdf"},{"key":"IJBIR.2018010102-33","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/276584"},{"key":"IJBIR.2018010102-34","unstructured":"Rosenbush, S., & Stevens, L. (2015, February 16). At UPS the Algorithm is the Driver. The Wall Street Journal. Retrieved from https:\/\/www.wsj.com\/articles\/at-ups-the-algorithm-is-the-driver-1424136536"},{"key":"IJBIR.2018010102-35","unstructured":"Strickland, J. (2015, September 16). Analytics: is it more than a buzzword? Bicorner.com. Retrieved from https:\/\/bicorner.com\/2015\/09\/16\/analytics-is-it-more-than-a-buzzword\/"},{"key":"IJBIR.2018010102-36","unstructured":"Taylor, P. (2012, June 19). Crunch Time for Big Data. The Financial Times."},{"key":"IJBIR.2018010102-37","author":"S. M.Weiss","year":"1998","journal-title":"Predictive Data Mining: A Practical Guide"},{"key":"IJBIR.2018010102-38","unstructured":"Wetherbee, C. (2014). Optimizing Your Agency\u2019s Business Processes through Analytics. Retrieved from http:\/\/slideplayer.com\/slide\/1606960\/"},{"key":"IJBIR.2018010102-39","unstructured":"Wong, A. (2013, October 1). What is Embedded Analytics? Logi Analytics. Retrieved from https:\/\/www.logianalytics.com\/bi-trends\/what-is-embedded-analytics\/"}],"container-title":["International Journal of Business Intelligence Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=203655","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T21:01:15Z","timestamp":1651870875000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJBIR.2018010102"}},"subtitle":["Empowering Manufacturing and Service Industry With Big Data"],"short-title":[],"issued":{"date-parts":[[2018,1,1]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijbir.2018010102","relation":{},"ISSN":["1947-3591","1947-3605"],"issn-type":[{"value":"1947-3591","type":"print"},{"value":"1947-3605","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,1]]}}}