Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage

作者
Mohsen Attaran,Sharmin Attaran
出处
期刊:International Journal of Business Intelligence Research [IGI Global]
卷期号:9 (2): 1-26 被引量:39
标识
DOI:10.4018/ijbir.2018070101
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Orange应助hyyy采纳,获得10
1秒前
1秒前
华北临时工完成签到,获得积分10
2秒前
2秒前
糊涂的灯泡应助雪山飞龙采纳,获得10
2秒前
烟花应助Leasq采纳,获得10
3秒前
舒心的怜蕾完成签到,获得积分10
4秒前
5秒前
yh发布了新的文献求助30
6秒前
初景发布了新的文献求助10
6秒前
颂歌998应助cw采纳,获得10
6秒前
万能图书馆应助幸福雪糕采纳,获得10
7秒前
清风发布了新的文献求助10
8秒前
Dawei_YZU完成签到,获得积分10
8秒前
JeromeLi完成签到,获得积分10
10秒前
gao完成签到,获得积分10
13秒前
14秒前
糊涂的灯泡应助雪山飞龙采纳,获得10
15秒前
yong完成签到 ,获得积分10
15秒前
15秒前
huohuo发布了新的文献求助10
15秒前
15秒前
15秒前
16秒前
华仔应助songjiatian采纳,获得10
17秒前
枯木逢春发布了新的文献求助10
17秒前
天天快乐应助stronger采纳,获得30
17秒前
小小威完成签到,获得积分10
18秒前
幸福雪糕发布了新的文献求助10
19秒前
情怀应助阳佟怀绿采纳,获得10
19秒前
怡然的宝莹完成签到,获得积分10
19秒前
21秒前
hyyy发布了新的文献求助10
21秒前
谦让涵菡完成签到 ,获得积分10
21秒前
万鑫海发布了新的文献求助10
22秒前
22秒前
dan1029完成签到,获得积分10
22秒前
23秒前
安静的老师完成签到,获得积分10
23秒前
脑洞疼应助huster采纳,获得10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7653013
求助须知:如何正确求助?哪些是违规求助? 9224305
关于积分的说明 19812808
捐赠科研通 7218785
什么是DOI,文献DOI怎么找? 3279097
关于科研通互助平台的介绍 2439752
邀请新用户注册赠送积分活动 2278260