Abstract
In today's dynamic digital landscape, businesses are turning to big data analytics to gain profound customer insights and enhance user experiences. This study delves into the transformative impact of big data on businesses' customer interactions. It illuminates how big data enables tailored engagements, refines customer interactions, and fosters enduring loyalty. By assessing the significance of customer insights and user experiences, this research paper showcases big data's pivotal role in reshaping corporate strategies for success. Embracing this technology empowers organizations to personalize interactions, optimize customer engagement, and cultivate long-term customer allegiance. In an era where rapid digital evolution defines market trends, leveraging big data analytics emerges as a strategic imperative, ensuring businesses not only adapt but thrive in this ever-changing landscape.
| Original language | English |
|---|---|
| Title of host publication | 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 308-311 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350357769 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 - Greater Noida, India Duration: 19-12-2023 → 23-12-2023 |
Publication series
| Name | 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 |
|---|
Conference
| Conference | 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 |
|---|---|
| Country/Territory | India |
| City | Greater Noida |
| Period | 19-12-23 → 23-12-23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
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