Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making

Kanhaiya Sharma; Bindu G. Madhavi; Ankur Goyal; Deepak Parashar; Lalit Shrotriya; Anurag Gupta

doi:10.1109/PEEIC59336.2023.10451556

Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making

Kanhaiya Sharma
, Bindu G. Madhavi
, Ankur Goyal
, Deepak Parashar
, Lalit Shrotriya
, Anurag Gupta

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Real-time data analysis (RDA) represents dynamically evolving discipline that is revolutionizing decision-making processes across diverse industries. The capability to process data in real-time empowers organizations to make well-informed decisions instantaneously, granting them a substantial competitive edge. This paper furnishes an exhaustive examination of RDA, encompassing its significance, architectural underpinnings, and wide-ranging applications. Commencing with an exploration of RDA's contextual backdrop and its consequential importance, this paper underscores the criticality of timely insights in a world where data is being generated at an unprecedented pace. Its aim is to furnish readers with a comprehensive comprehension of RDA and its manifold potential uses. This paper is anticipated to captivate the interest of researchers, practitioners, and anyone eager to delve deeper into this cutting-edge domain.

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	298-302
Number of pages	5
ISBN (Electronic)	9798350357769
DOIs	https://doi.org/10.1109/PEEIC59336.2023.10451556
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)

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

Access to Document

10.1109/PEEIC59336.2023.10451556

Cite this

Sharma, K., Madhavi, B. G., Goyal, A., Parashar, D., Shrotriya, L., & Gupta, A. (2023). Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making. In 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 (pp. 298-302). (2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEEIC59336.2023.10451556

Sharma, Kanhaiya ; Madhavi, Bindu G. ; Goyal, Ankur et al. / Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making. 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 298-302 (2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023).

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title = "Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making",

abstract = "Real-time data analysis (RDA) represents dynamically evolving discipline that is revolutionizing decision-making processes across diverse industries. The capability to process data in real-time empowers organizations to make well-informed decisions instantaneously, granting them a substantial competitive edge. This paper furnishes an exhaustive examination of RDA, encompassing its significance, architectural underpinnings, and wide-ranging applications. Commencing with an exploration of RDA's contextual backdrop and its consequential importance, this paper underscores the criticality of timely insights in a world where data is being generated at an unprecedented pace. Its aim is to furnish readers with a comprehensive comprehension of RDA and its manifold potential uses. This paper is anticipated to captivate the interest of researchers, practitioners, and anyone eager to delve deeper into this cutting-edge domain.",

author = "Kanhaiya Sharma and Madhavi, \{Bindu G.\} and Ankur Goyal and Deepak Parashar and Lalit Shrotriya and Anurag Gupta",

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language = "English",

series = "2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023",

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Sharma, K, Madhavi, BG, Goyal, A, Parashar, D, Shrotriya, L & Gupta, A 2023, Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making. in 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023. 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 298-302, 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023, Greater Noida, India, 19-12-23. https://doi.org/10.1109/PEEIC59336.2023.10451556

Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making. / Sharma, Kanhaiya; Madhavi, Bindu G.; Goyal, Ankur et al.
2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 298-302 (2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Sharma, Kanhaiya

AU - Madhavi, Bindu G.

AU - Goyal, Ankur

AU - Parashar, Deepak

AU - Shrotriya, Lalit

AU - Gupta, Anurag

PY - 2023

Y1 - 2023

N2 - Real-time data analysis (RDA) represents dynamically evolving discipline that is revolutionizing decision-making processes across diverse industries. The capability to process data in real-time empowers organizations to make well-informed decisions instantaneously, granting them a substantial competitive edge. This paper furnishes an exhaustive examination of RDA, encompassing its significance, architectural underpinnings, and wide-ranging applications. Commencing with an exploration of RDA's contextual backdrop and its consequential importance, this paper underscores the criticality of timely insights in a world where data is being generated at an unprecedented pace. Its aim is to furnish readers with a comprehensive comprehension of RDA and its manifold potential uses. This paper is anticipated to captivate the interest of researchers, practitioners, and anyone eager to delve deeper into this cutting-edge domain.

AB - Real-time data analysis (RDA) represents dynamically evolving discipline that is revolutionizing decision-making processes across diverse industries. The capability to process data in real-time empowers organizations to make well-informed decisions instantaneously, granting them a substantial competitive edge. This paper furnishes an exhaustive examination of RDA, encompassing its significance, architectural underpinnings, and wide-ranging applications. Commencing with an exploration of RDA's contextual backdrop and its consequential importance, this paper underscores the criticality of timely insights in a world where data is being generated at an unprecedented pace. Its aim is to furnish readers with a comprehensive comprehension of RDA and its manifold potential uses. This paper is anticipated to captivate the interest of researchers, practitioners, and anyone eager to delve deeper into this cutting-edge domain.

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BT - 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

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ER -

Sharma K, Madhavi BG, Goyal A, Parashar D, Shrotriya L, Gupta A. Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making. In 2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 298-302. (2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023). doi: 10.1109/PEEIC59336.2023.10451556

Real-Time Data Analysis, Significance, Architectures and Applications for Informed Decision-Making

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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