{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T18:42:22Z","timestamp":1774550542905,"version":"3.50.1"},"reference-count":40,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>The past few years have seen an explosion in the business use of analytics. Corporations around the world are using analytical tools to gain a better understanding of their customer's needs and wants. Predictive analytics has become an increasingly hot topic in analytics landscape as more companies realize that predictive analytics enables them to reduce risks, make intelligent decisions, and create differentiated customer experiences. As a result, predictive analytics deployments are gaining momentum. Yet, the adoption rate is slow, and organizations are only beginning to scratch the surface in regards to the potential applications of this technology. Implemented properly, the business benefits can be substantial. However, there are strategic pitfalls to consider. The key objective of this article is to propose a conceptual model for successful implementation of predictive analytics in organizations. This article also explores the changing dimensions of analytics, highlights the importance of predictive analytics, identifies determinants of implementation success, and covers some of the potential benefits of this technology. Furthermore, this study reviews key attributes of a successful predictive analytics platform and illustrates how to overcome some of the strategic pitfalls of incorporating this technology in business. Finally, this study highlights successful implementation of analytics solutions in manufacturing and service industry.<\/jats:p>","DOI":"10.4018\/ijbir.2018070101","type":"journal-article","created":{"date-parts":[[2018,7,11]],"date-time":"2018-07-11T15:15:54Z","timestamp":1531322154000},"page":"1-26","source":"Crossref","is-referenced-by-count":19,"title":["Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage"],"prefix":"10.4018","volume":"9","author":[{"given":"Mohsen","family":"Attaran","sequence":"first","affiliation":[{"name":"California State University, Bakersfield, USA"}]},{"given":"Sharmin","family":"Attaran","sequence":"additional","affiliation":[{"name":"Bryant University, Smithfield, USA"}]}],"member":"2432","reference":[{"key":"IJBIR.2018070101-0","author":"A.Asllani","year":"2015","journal-title":"Business Analytics with Management Science, Models and Methods"},{"issue":"2","key":"IJBIR.2018070101-1","article-title":"Big Data, Big Bang?","volume":"3","author":"J.Bughin","year":"2016","journal-title":"Journal of Big Data"},{"key":"IJBIR.2018070101-2","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.2018070101-3","unstructured":"Burns, E. (2016, January 28). How PayPal Fights Fraud with Predictive Data Analysis. Searchbusinessanalytics. Retrieved from http:\/\/searchbusinessanalytics.techtarget.com\/feature\/How-PayPal-fights-fraud-with-predictive-data-analysis"},{"key":"IJBIR.2018070101-4","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"},{"issue":"4","key":"IJBIR.2018070101-5","article-title":"The Netflix recommender system: Algorithms, business value, and innovation","volume":"6","author":"A.Carlos","year":"2016","journal-title":"ACM Transactions on Management Information Systems"},{"key":"IJBIR.2018070101-6","unstructured":"DeAngelis, S. F. (2015, April 30). Predictive Analytics becoming a Mainstream Business Tool. Enterra Solutions. Retrieved from https:\/\/www.enterrasolutions.com\/blog\/predictive-analytics-becoming-a-mainstream-business-tool\/"},{"key":"IJBIR.2018070101-7","author":"J.Decker","year":"2017","journal-title":"Embedded Analytics for Dummies"},{"key":"IJBIR.2018070101-8","unstructured":"Diebold, F. X. (2012). \u201cOn the Origin(s) and Development of the Term \u201cBig Data (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.2018070101-9","article-title":"Can Big Data and Predictive Analytics Improve Social and Environmental Sustainability?","author":"R.Dubey","year":"2017","journal-title":"Technological Forecasting and Social Change"},{"key":"IJBIR.2018070101-10","unstructured":"Eckerson, W. (2016, April). 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.2018070101-11","unstructured":"Evelson, B., & Bennett, M. (2015, January 8). 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.2018070101-12","unstructured":"Feki, M., Boughzala, I., & Wamba, S. F. (2016, January). Big Data Analytics-enabled Supply Chain Transformation: A Literature Review. In 49th Hawaii International Conference on System Sciences."},{"key":"IJBIR.2018070101-13","unstructured":"Gaitho, M. (201, August 87). How Applications of Big Data Drive Industries. SimpliLearn. Retrieved from https:\/\/www.simplilearn.com\/big-data-applications-in-industries-article"},{"key":"IJBIR.2018070101-14","unstructured":"Gartner. (2015, September 16). Gartner Survey Shows More Than 75 Percent of Companies Are Investing or Planning to Invest in Big Data in the Next Two Years [Press release]. Retrieved from http:\/\/www.gartner.com\/newsroom\/id\/3130817"},{"key":"IJBIR.2018070101-15","author":"J.Gets","year":"2013","journal-title":"The Digital Universe in 2020"},{"key":"IJBIR.2018070101-16","unstructured":"Henke, N., Bughin, J., Chui, M., Manyika, J., Saleh, T., Wiseman, B., and Sethupathy, G. (2016, December). The Age of Analytics: Competing in a Data-Driven World. Mckinsey Global Institute."},{"key":"IJBIR.2018070101-17","unstructured":"Hetu, R. (2015, October 22). \u201cRetailers Increasing Predictive Analytics Capabilities. Gartner. Retrieved from https:\/\/blogs.gartner.com\/robert-hetu\/retailers-increasing-predictive-analytics-capabilities\/"},{"key":"IJBIR.2018070101-18","unstructured":"IDC. (2017). Worldwide Semiannual Big Data and Analytics Spending Guide. Retrieved from https:\/\/www.idc.com\/getdoc.jsp?containerId=prUS42371417"},{"key":"IJBIR.2018070101-19","unstructured":"Intel. (2017). Guide to Getting Started with Advanced Analytics. Retrieved from https:\/\/www.intel.com\/content\/www\/us\/en\/analytics\/getting-started-advanced-analytics-planning-guide.html"},{"key":"IJBIR.2018070101-20","doi-asserted-by":"crossref","unstructured":"Kalakota, R. (2014, March 13). A Primer on Predictive Analytics. inShare3. Retrieved from https:\/\/practicalanalytics.co\/predictive-analytics-101\/","DOI":"10.1002\/9781118936740.ch6"},{"key":"IJBIR.2018070101-21","unstructured":"Lebied, M. (2016, December 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.2018070101-22","unstructured":"Loshin, D. (2017, December 19). Five Steps to Build Better Predictive Analytics Applications. Techtarget. Retrieved from http:\/\/searchbusinessanalytics.techtarget.com\/tip\/Five-steps-to-build-better-predictive-analytics-applications"},{"key":"IJBIR.2018070101-23","unstructured":"Loshin, D. (2017, August 17). Ten Steps to Start Using Predictive Analytics Algorithms Effectively. Retrieved from http:\/\/searchbusinessanalytics.techtarget.com\/tip\/Ten-steps-to-start-using-predictive-analytics-algorithms-effectively"},{"key":"IJBIR.2018070101-24","article-title":"Big Data: 20 mind-boggling facts everyone must read.","author":"B.Marr","year":"2015","journal-title":"Forbes"},{"key":"IJBIR.2018070101-25","unstructured":"McAfee, A., & Brynjolfsson, E. (2012, October). Big Data: The Management Revolution. Harvard Business Review. Retrieved from https:\/\/hbr.org\/2012\/10\/big-data-the-management-revolution"},{"key":"IJBIR.2018070101-26","author":"D.McNeill","year":"2014","journal-title":"Analytics in Healthcare and the Life Sciences: Strategies, Implementation Methods and Best Practices"},{"key":"IJBIR.2018070101-27","doi-asserted-by":"publisher","DOI":"10.1002\/9781118562260"},{"key":"IJBIR.2018070101-28","author":"A.Perrin","year":"2015","journal-title":"One-fifth of Americans report going online-almost constantly"},{"key":"IJBIR.2018070101-29","unstructured":"Rajpurohit, A. (2014). Has Predictive Analytics Crossed The Chasm? Ventana Research. Retrieved from https:\/\/www.kdnuggets.com\/2014\/05\/has-predictive-analytics-crossed-chasm.html"},{"key":"IJBIR.2018070101-30","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.2018070101-31","unstructured":"Rouse, M. (2017, November). People Analytics (HR Analaytics). TechTarget. Retrieved from http:\/\/searchhrsoftware.techtarget.com\/definition\/human-resources-analytics-talent-analytics?vgnextfmt=print"},{"key":"IJBIR.2018070101-32","unstructured":"Salleh, S. (2013, June 26). Applying Predictive Analytics in Enterprise Decision Making. Lumina. Retrieved from http:\/\/www.lumina.com\/blog\/applying-predictive-analytics-in-enterprise-decision-making"},{"key":"IJBIR.2018070101-33","author":"E.Siegel","year":"2016","journal-title":"Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die"},{"key":"IJBIR.2018070101-34","unstructured":"Stedman, C. (2017). Eyeing the future with predictive analytics can pay dividends now. TechTarget. Retrieved from http:\/\/searchbusinessanalytics.techtarget.com\/ehandbook\/Predictive-data-analytics-advances-businesses-ahead-of-the-game"},{"key":"IJBIR.2018070101-35","unstructured":"Taylor, P. (2012). \u201cCrunch Time for Big Data.\u201d The Financial Times, June 19."},{"key":"IJBIR.2018070101-36","unstructured":"Ventana Research. (2015). \u201cVentana Research Benchmark Research: Next-Generation Predictive Analytics.\u201d June. Retrieved from http:\/\/www.iconresources.com\/Icon\/eMailer\/IBM\/Ventana-Research\/Ventana-Research-on-Next-generation-Analytics-june-2015.pdf"},{"key":"IJBIR.2018070101-37","unstructured":"Vidhya, A. (2015, September 21). 13 Amazing Applications\/Uses of data Science Today. Analyticsvidhya. Retrieved from https:\/\/www.analyticsvidhya.com\/blog\/2015\/09\/applications-data-science\/"},{"key":"IJBIR.2018070101-38","author":"S. M.Weiss","year":"1998","journal-title":"Predictive Data Mining: A Practical Guide"},{"key":"IJBIR.2018070101-39","unstructured":"Wells, C. (2017). \u201cMaryland Universities to Use Data to Predict Student Success-or Failure.\u201d The Baltimore Sun. Retrieved from http:\/\/www.baltimoresun.com\/news\/maryland\/education\/bs-md-college-analytics-20160611-story.html"}],"container-title":["International Journal of Business Intelligence Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=209701","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T10:28:36Z","timestamp":1651832916000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJBIR.2018070101"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":40,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijbir.2018070101","relation":{},"ISSN":["1947-3591","1947-3605"],"issn-type":[{"value":"1947-3591","type":"print"},{"value":"1947-3605","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7]]}}}