Leveraging Financial Data to Optimize Automation: An Industry 4.0 approach
- Title
- Leveraging Financial Data to Optimize Automation: An Industry 4.0 approach
- Creator
- Mehta K.; Kulshrestha N.; Sisodia D.R.; Dornadula V.H.R.; Priya P.K.; Ranjan R.
- Description
- Industry 4.0 is a transformative approach that leverages advanced technologies to enhance business efficiency and productivity. Automation is a crucial aspect of next-generation industry, and leveraging financial data is essential to optimizing the automation process. This chapter discusses the role of financial data in optimizing automation processes using an I-4.0 approach. Financial data is derived from various sources and can be collected through different methods, such as automated data collection, manual entry, or using sensors and Internet of Things (IoT) devices. The integration of these sources can pose challenges for businesses. The chapter outlines techniques for automation optimization, such as machine learning, predictive analytics, and business process reengineering. Optimizing automation using financial data offers various benefits for businesses, including cost savings, improved quality, and increased profitability. However, there are challenges that businesses face in leveraging financial data, including the integration of various data sources and formats and the need for skilled personnel to analyze and interpret the data. The successful implementation of automation and optimization of processes can lead to sustainable growth and enhanced operations, making it crucial for businesses to remain competitive in the I-4.0 era. By leveraging financial data to optimize automation processes, businesses can maximize their potential and drive growth. Overall, this chapter highlights the significance of financial data in automation optimization and provides insights into the benefits and challenges that businesses must consider when leveraging financial data for optimization. 2024 selection and editorial matter, Nidhi Sindhwani, Rohit Anand, A. Shaji George and Digvijay Pandey; individual chapters, the contributors.
- Source
- Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies, Vol-45689, pp. 198-214.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Mehta K., TAPMI School of Business Manipal University, Jaipur, India; Kulshrestha N., Christ Deemed to be University, Bangalore, India; Sisodia D.R., Department of Management Army Institute of Management and Technology, Greater Noida, India; Dornadula V.H.R., Startups and IIC, Chairman Office, Sree Venkateswara College of Engineering, Nellore, India; Priya P.K., KL Business School, Koneru Lakshmaiah Education Foundation, Guntur, India; Ranjan R., School of Business and Commerce, Manipal University, Jaipur, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-100383735-0; 978-103232943-7
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Mehta K.; Kulshrestha N.; Sisodia D.R.; Dornadula V.H.R.; Priya P.K.; Ranjan R., “Leveraging Financial Data to Optimize Automation: An Industry 4.0 approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/18094.