×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement John K. Thompson, Douglas B. Laney

(ebook) (audiobook) (audiobook) Książka w języku 1
Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement John K. Thompson, Douglas B. Laney - okladka książki

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement John K. Thompson, Douglas B. Laney - okladka książki

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement John K. Thompson, Douglas B. Laney - audiobook MP3

Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement John K. Thompson, Douglas B. Laney - audiobook CD

e_39v0/e_39v0.mp3 e_39v0
Autorzy:
John K. Thompson, Douglas B. Laney
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
394
Czas nagrania:
12:05:00
Dostępne formaty:
     PDF
     ePub
     Mobi
Audiobook
Audiobook w mp3
In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.

The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs.

The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects.

By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.

Wybrane bestsellery

O autorze książki

John K. Thompson is an international technology executive with over 30 years of experience in the business intelligence and advanced analytics fields. Currently, John is responsible for the global Advanced Analytics and Artificial Intelligence team and efforts at CSL Behring.

Prior to CSL, John was an Executive Partner at Gartner, where he was a management consultant for market-leading companies in the areas of digital transformation, data monetization, and advanced analytics. Before Gartner, John was responsible for the advanced analytics business unit of the Dell Software Group.

John is co-author of the bestselling book Analytics: How to Win with Intelligence, which debuted on Amazon as the #1 new book in Analytics in 2017. Analytics: How to Win with Intelligence is a book that guides non-technical executives through the journey of building an analytics team, funding initiatives, and driving change in business operations through data and applied analytical applications.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
98,10 zł
Dodaj do koszyka
Audiobook w mp3
152,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.