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Census Data Analysis and Decision Making System
Details
Data is the most important asset in today's world. Even the companies have understood this and is running and spending millions in collection and analysis of Data. Data in today's world is not just limited to some getting information but also is a key player in taking decisions ranging from different sectors to different industries. Healthcare, Automobile, IT, Marketing, Finance and Economics are to name few. In this fast-changing world when everyone is relaying so much on Data it's very important to collect and analyze it properly and efficiently. Because a small mistake can lead to great dangers when it comes to critical operations that are done on basis of data for example Healthcare.
Autorentext
Atul Shrivastava was a student of the Department and had carried out this work under Amit Agarwal as his guide. Amit Agarwal is an Assistant Professor in the Department of Electronics & Communication Engineering at Sikkim Manipal Institute of Technology, India.
Klappentext
Data is the most important asset in today's world. Even the companies have understood this and is running and spending millions in collection and analysis of Data. Data in today's world is not just limited to some getting information but also is a key player in taking decisions ranging from different sectors to different industries. Healthcare, Automobile, IT, Marketing, Finance and Economics are to name few. In this fast-changing world when everyone is relaying so much on Data it's very important to collect and analyze it properly and efficiently. Because a small mistake can lead to great dangers when it comes to critical operations that are done on basis of data for example Healthcare.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 102g
- Untertitel A Digital Approach for Census
- Autor Atul Shrivastava , Amit Agarwal
- Titel Census Data Analysis and Decision Making System
- Veröffentlichung 25.02.2020
- ISBN 6200654395
- Format Kartonierter Einband
- EAN 9786200654397
- Jahr 2020
- Größe H220mm x B150mm x T4mm
- Anzahl Seiten 56
- GTIN 09786200654397