Analytics enabled decision making
Sharma, Vinod.

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  • Analytics enabled decision making
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Analytics enabled decision making/ edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose.
    其他作者: Sharma, Vinod.
    出版者: Singapore :Springer Nature Singapore : : 2023.,
    面頁冊數: 1 online resource (xxxiii, 288 p.) :ill. (some col.), digital ;24 cm.
    內容註: Chapter 1 Next generation smart manufacturing and service systems using big data analytics -- Chapter 2 Elements of decision making under uncertainty -- Chapter 3 Data, Inference, and Marketing Decisions -- Chapter 4 Competitor and competition Analysis through analytics -- Chapter 5 Influence of big data analytics on business intelligence -- Chapter 6 Improved price alignment to perceived value of product/service using data analytics -- Chapter 7 Changing the landscape of retailing using pricing analytics -- Chapter 8 Enhancing efficiency and effectiveness in supply chain management through Business Intelligence -- Chapter 9 Quantifying thoughts and feelings about a company from big data to improve brand strength -- Chapter 10 Enabling achievement of organisational/corporate goals through HR analytics -- Chapter 11 Workforce Analytics facilitates Human Resource Demand Forecasting -- Chapter 12 Ascertainment of Employee Competencies and measurement with greater precision using T&D Analytics -- Chapter 13 Analytics to Measure Employees' Behavioural Traits and predict employee performance -- Chapter 14 Using predictive analytics alongside psychometric assessments and other measures to identify the candidates with the right performance and behavioural criteria -- Chapter 15 Designing competitive yet cost effective compensation packages using analytics to reduce attrition -- Chapter 16 Mitigating Compliance Failure Risk using Analytics (gender equal pay, overtime payments, appropriate number of each category of employees) -- Chapter 17 Predictive analytics to aid employee alignment with the culture of the organisation -- Chapter 18 Analysing the impact of Employees' Satisfaction and Frustration on their and organizations' performance -- Chapter 19 Assessing and Controlling Political Behaviour of Groups in Organizations -- Chapter 20 Measuring Organizational/Industrial Citizenship Behaviour -- Chapter 21 Psychological Framework and Methodology for Analysing Decision Risk -- Chapter 22 Analysing Challenging Behaviours of Two Individuals with Intellectual Differences/Disability -- Chapter 23 Measuring the effectiveness of data analytics in higher education to improve student outcomes -- Chapter 24 Building an industry 4.0 analytics platform with a proven example and proof of concept -- Chapter 25 Gaining competitive advantage through business analytics.
    Contained By: Springer Nature eBook
    標題: Decision making - Data processing. -
    電子資源: https://doi.org/10.1007/978-981-19-9658-0
    ISBN: 9789811996580
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