Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2020, 2020
ISBN 10: 6200654395 ISBN 13: 9786200654397
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200654395 ISBN 13: 9786200654397
Da: preigu, Osnabrück, Germania
EUR 36,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Census Data Analysis and Decision Making System | A Digital Approach for Census | Atul Shrivastava (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200654397 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2020, 2020
ISBN 10: 6200654395 ISBN 13: 9786200654397
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200654395 ISBN 13: 9786200654397
Da: moluna, Greven, Germania
EUR 34,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shrivastava AtulAtul 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 S.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200654395 ISBN 13: 9786200654397
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.