Analytics enabled decision making. (2023)

• Record Type: Book
• Further Information: Note: Edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose.
• Editors: Sharma, Vinod; Maheshkar, Chandan, 1982-; Poulose, Jeanne
• Contents: 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.
• Publisher Details: Basingstoke : Palgrave Macmillan
• Publication Date: 2023
• Extent: 1 online resource (212 pages), illustrations (black and white)
• Subjects: 658.403; Decision making -- Data processing
• Languages: English
• ISBNs: 9789811996580
• Related ISBNs: 9789811996573
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.