Analytics Enabled Decision Making Tracing the Journey from Data to Decisions

Title

Analytics Enabled Decision Making Tracing the Journey from Data to Decisions

Creator

Sharma V.; Poulose J.; Maheshkar C.

Description

In the current business environment, which is greatly dynamic and competitive, business organizations are continually striving for expanding their competence and financial performance through improving almost every facet of their business--product/service quality, customer satisfaction, customer retention, productivity, line filling strategies, and others. In this sense, success and failure of organizations depend on the extent of precision of their decisions. Organizations are engaged with data to extract insights, identify trends and make decisions at different levels; and also, many of them learn how to utilize the power of data. Analytics can enable them to derive conclusions, make predictions, and ascertain actionable insights in a contextual and time-bound manner. It helps to examine data from multiple perspectives and gives visualizations by using different frameworks and platforms such as IBM Watson, Tableau, and R. The chapter presents the role of analytics in decision-making processes and assess the effectiveness of decisions upon their implementation, so the corrective measures can also be inserted. As decision making is a continuous business process, analytics accelerates it and gives organizations a pace to keep updated with changing business scenarios. Thus, this chapter presented a decision-making framework exhibiting how decision-making functions as an ongoing process. Different contexts and cases have been used to establish the relevance of each step of the framework. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Source

Analytics Enabled Decision Making, pp. 1-22.

Date

2023-01-01

Publisher

Springer Nature

Subject

Analytics; Business analytics; Data science; Data-based decision making; Decision making; Model building

Coverage

Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Poulose J., East Nimar Society for Education, Khandwa, India; Maheshkar C., School of Business and Management, CHRIST (Deemed to Be University), Delhi NCR, India

Rights

Restricted Access

Relation

ISBN: 978-981199658-0; 978-981199657-3

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-981-19-9658-0_1

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