Monetizing Data (eBook)
John Wiley & Sons (Verlag)
978-1-119-12514-3 (ISBN)
Practical guide for deriving insight and commercial gain from data
Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors - noted experts in the field - show how to generate extra benefit from data already collected and how to use it to solve business problems. In accessible terms, the book details ways to extract data to enhance business practices and offers information on important topics such as data handling and management, statistical methods, graphics and business issues. The text presents a wide range of illustrative case studies and examples to demonstrate how to adapt the ideas towards monetisation, no matter the size or type of organisation.
The authors explain on a general level how data is cleaned and matched between data sets and how we learn from data analytics to address vital business issues. The book clearly shows how to analyse and organise data to identify people and follow and interact with them through the customer lifecycle. Monetising Data is an important resource:
- Focuses on different business scenarios and opportunities to turn data into value
- Gives an overview on how to store, manage and maintain data
- Presents mechanisms for using knowledge from data analytics to improve the business and increase profits
- Includes practical suggestions for identifying business issues from the data
Written for everyone engaged in improving the performance of a company, including managers and students, Monetising Data is an essential guide for understanding and using data to enrich business practice.
Andrea Ahlemeyer-Stubbe is Director of Strategical Analytics at the servicepro Agentur für Dialogmarketing und Verkaufsförderung GmbH, Munich, Germany.
Shirley Coleman is Technical Director of ISRU at the School of Mathematics and Statistics, Newcastle University, UK.
Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors noted experts in the field show how to generate extra benefit from data already collected and how to use it to solve business problems. In accessible terms, the book details ways to extract data to enhance business practices and offers information on important topics such as data handling and management, statistical methods, graphics and business issues. The text presents a wide range of illustrative case studies and examples to demonstrate how to adapt the ideas towards monetisation, no matter the size or type of organisation. The authors explain on a general level how data is cleaned and matched between data sets and how we learn from data analytics to address vital business issues. The book clearly shows how to analyse and organise data to identify people and follow and interact with them through the customer lifecycle. Monetising Data is an important resource: Focuses on different business scenarios and opportunities to turn data into value Gives an overview on how to store, manage and maintain data Presents mechanisms for using knowledge from data analytics to improve the business and increase profits Includes practical suggestions for identifying business issues from the data Written for everyone engaged in improving the performance of a company, including managers and students, Monetising Data is an essential guide for understanding and using data to enrich business practice.
Andrea Ahlemeyer-Stubbe is Director of Strategical Analytics at the servicepro Agentur für Dialogmarketing und Verkaufsförderung GmbH, Munich, Germany. Shirley Coleman is Technical Director of ISRU at the School of Mathematics and Statistics, Newcastle University, UK.
| Erscheint lt. Verlag | 1.2.2018 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Naturwissenschaften | |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Andrea Ahlemeyer-Stubbe • Big Data • Business data processing • changes in attitude to data • Computer Science • Data Analysis • Data handling • data handling and quality • data improvement and data transformation • Data Management • data management and customer lifetime • data management and focus options • data management and product lifetime • data matching • Data Mining • data mining and statistical methods • Data Mining Statistics • Data Ownership • Data Science • data storage • Data Types • Datenanalyse • how to monetise data • Informatik • Introduction to monetising data • legacy data sources • Monetising data • Open Data • planning ahead • predictive analytics • Reshaping data to give useful summaries • resources for monetising data • Shirley Coleman • sources of data • Statistics • Statistik • tailored data cleaning and compatibility issues • The data improvement cycle • types of available data • Wirtschaftsinformatik |
| ISBN-10 | 1-119-12514-6 / 1119125146 |
| ISBN-13 | 978-1-119-12514-3 / 9781119125143 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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