Ondrej Bothe, Ondrej Kubera, David Bednár, Martin Potancok, Ota Novotný
Data Analytics Initiatives (eBook, ePUB)
Managing Analytics for Success
47,95 €
47,95 €
inkl. MwSt.
Sofort per Download lieferbar
24 °P sammeln
47,95 €
Als Download kaufen
47,95 €
inkl. MwSt.
Sofort per Download lieferbar
24 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
47,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
24 °P sammeln
Ondrej Bothe, Ondrej Kubera, David Bednár, Martin Potancok, Ota Novotný
Data Analytics Initiatives (eBook, ePUB)
Managing Analytics for Success
- Format: ePub
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Analytics projects have a great deal of complexity, which can be hidden and needs to be considered. This book is a guide to evaluating and setting up analytics projects. It gives a holistic view of all aspects of analytical project that can be easily leveraged before a project starts or when it needs to be re-evaluated.
- Geräte: eReader
- ohne Kopierschutz
- eBook Hilfe
- Größe: 13.62MB
Andere Kunden interessierten sich auch für
- Ondrej BotheData Analytics Initiatives (eBook, PDF)47,95 €
- Marco ScutariThe Pragmatic Programmer for Machine Learning (eBook, ePUB)79,95 €
- Mikhail ZhilkinData Science Without Makeup (eBook, ePUB)26,95 €
- Kirsten MartinEthics of Data and Analytics (eBook, ePUB)59,95 €
- Eduardo RodriguezRisk Analytics (eBook, ePUB)79,95 €
- Data Analytics in Marketing, Entrepreneurship, and Innovation (eBook, ePUB)39,95 €
- Mohammad Shahid HusainBig Data Concepts, Technologies, and Applications (eBook, ePUB)47,95 €
-
-
-
Analytics projects have a great deal of complexity, which can be hidden and needs to be considered. This book is a guide to evaluating and setting up analytics projects. It gives a holistic view of all aspects of analytical project that can be easily leveraged before a project starts or when it needs to be re-evaluated.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 164
- Erscheinungstermin: 20. April 2022
- Englisch
- ISBN-13: 9781000629347
- Artikelnr.: 63612279
- Verlag: Taylor & Francis
- Seitenzahl: 164
- Erscheinungstermin: 20. April 2022
- Englisch
- ISBN-13: 9781000629347
- Artikelnr.: 63612279
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Ondrej Bothe has spent his whole life working in analytics. He has worked in many different roles: from hands-on developer to manager leading a team responsible for project implementation and IT analytical landscape operation. He was on the customer side, receiving advice from a consultant, but he has also worn the consultant hat, advising clients on analytical issues across sectors. Thanks to his economic background, he has a unique view of analytical projects. He can combine the aspect of technology, the delivery approach, and an understanding of data with an economist's perspective to ensure the best possible results for analytical insight consumers.
Ondrej Kubera has spent most of his career in IT delivery and consulting, focusing on analytics, including areas such as business intelligence, information management, and data governance. He is passionate about bridging the gap between the business and technical perspectives in the data analytics domain. He graduated from the Czech Technical University in Prague and has experience from a variety of hands-on engineering, as well as client-facing and managerial roles. He has led, designed, and consulted analytics initiatives in major consulting firms, a boutique data intelligence company, and a global pharma company.
David Bednar loves data and its presentation, and he has spent most of his career in the analytics area. He benefits from experience from both the academic and the business spheres, where he works on projects that further develop his robust technological background. He is a person who likes to develop anything new and innovative, who can define new architectures and patterns, or lead young talents to growth. David graduated from the Technical University of Ostrava focusing on data management and custom data structures, where he helped with research of multidimensional data structures as a member of the Database Research Group. ¿
Martin Potancok supports data-inspired decisions in commercial and research projects. He has experience in software development and analytics. He has worked as a business analyst and project manager on software projects delivering mainly budgeting and reporting systems for international companies. Recently, he has been working as a business analyst on data and analytics projects. At the Prague University of Economics and Business, he is in charge of data activities and research projects organized in cooperation with the Faculty of Informatics and Statistics.
Ota Novotny has over twenty years of practical experience in data and business analytics. He helps people understand the importance and principles of data analytics in both academic and business projects and shows them how to use them in their professional lives. He has already supported thousands of people, helping them familiarize themselves with this modern and increasingly promising area of interest, and a large proportion of them have chosen data analytics as their career path. He is always looking for new ways to harness the potential of data and the associated data analytics for modern business.
Ondrej Kubera has spent most of his career in IT delivery and consulting, focusing on analytics, including areas such as business intelligence, information management, and data governance. He is passionate about bridging the gap between the business and technical perspectives in the data analytics domain. He graduated from the Czech Technical University in Prague and has experience from a variety of hands-on engineering, as well as client-facing and managerial roles. He has led, designed, and consulted analytics initiatives in major consulting firms, a boutique data intelligence company, and a global pharma company.
David Bednar loves data and its presentation, and he has spent most of his career in the analytics area. He benefits from experience from both the academic and the business spheres, where he works on projects that further develop his robust technological background. He is a person who likes to develop anything new and innovative, who can define new architectures and patterns, or lead young talents to growth. David graduated from the Technical University of Ostrava focusing on data management and custom data structures, where he helped with research of multidimensional data structures as a member of the Database Research Group. ¿
Martin Potancok supports data-inspired decisions in commercial and research projects. He has experience in software development and analytics. He has worked as a business analyst and project manager on software projects delivering mainly budgeting and reporting systems for international companies. Recently, he has been working as a business analyst on data and analytics projects. At the Prague University of Economics and Business, he is in charge of data activities and research projects organized in cooperation with the Faculty of Informatics and Statistics.
Ota Novotny has over twenty years of practical experience in data and business analytics. He helps people understand the importance and principles of data analytics in both academic and business projects and shows them how to use them in their professional lives. He has already supported thousands of people, helping them familiarize themselves with this modern and increasingly promising area of interest, and a large proportion of them have chosen data analytics as their career path. He is always looking for new ways to harness the potential of data and the associated data analytics for modern business.
I. The Framework Definition 1. The Three-Axis Approach to of Analytics
Projects II. The Framework in Context 2. Common Attributes of Analytics
Projects 3. General Areas and of Risks Challenges 4. Typical Failures and
Risks per Project Type 5. Typical Questions for Analytics Projects
Projects II. The Framework in Context 2. Common Attributes of Analytics
Projects 3. General Areas and of Risks Challenges 4. Typical Failures and
Risks per Project Type 5. Typical Questions for Analytics Projects
I. The Framework Definition 1. The Three-Axis Approach to of Analytics
Projects II. The Framework in Context 2. Common Attributes of Analytics
Projects 3. General Areas and of Risks Challenges 4. Typical Failures and
Risks per Project Type 5. Typical Questions for Analytics Projects
Projects II. The Framework in Context 2. Common Attributes of Analytics
Projects 3. General Areas and of Risks Challenges 4. Typical Failures and
Risks per Project Type 5. Typical Questions for Analytics Projects