Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement 9781800203167

Варианты приобретения

Цена: 47810.00T
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: 262 шт.
При оформлении заказа до: 2025-07-26
Ориентировочная дата поставки: конец Сентября - начало Октября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: K. Thompson John
Название: Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement
ISBN: 9781800203167
Издательство: Packt Publishing
Классификация:

Проектирование и теория баз данных

Сбор и анализ данных

Визуализация информации

Информационная архитектура

ISBN-10: 1800203160
Обложка/Формат: Paperback
Страницы: 394
Вес: 0.53 кг.
Дата издания: 29.06.2020
Язык: English
Размер: 22.91 x 15.19 x 2.06 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Harnessing analytics and artificial intelligence for business improvement
Рейтинг:
Поставляется из: США
Описание:

Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI

Key Features

Learn to create an operationally effective advanced analytics team in a corporate environment
Select and undertake projects that have a high probability of success and deliver the improved top and bottom-line results
Understand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your team

Book Description

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 youve 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.

What you will learn

Avoid organizational and technological pitfalls of moving from a defined project to a production environment
Enable team members to focus on higher-value work and tasks
Build Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organization
Outsource certain projects to competent and capable third parties
Support the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analytics
Analyze the operational area, the processes, the data, and the organizational resistance

Who this book is for

This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

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