AI-enabled analytics for business : a roadmap for becoming an analytics powerhouse / Lawrence S. Maisel, Robert James Zwerling, Jesper Hybholt Sorensen.

Format:

Book

Author/Creator:

Maisel, Lawrence, 1946- author.

Zwerling, Robert James, author.

Sorensen, Jesper Hybholt, author.

Language:

English

Subjects (All):

Business--Data processing.

Business.

Artificial intelligence--Industrial applications.

Artificial intelligence.

Artificial intelligence--Marketing applications.

Physical Description:

1 online resource (242 pages)

Place of Publication:

Hoboken, New Jersey : Wiley, [2022]

Summary:

"Predictive business analytics refers to the skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions. It focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions--or it may drive fully automated decisions. We are entering the era of digital analytics where human and artificial intelligence (AI) work hand in hand to achieve better analytical results. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. More and more organizations are seeking better processes and tools to ensure that the right people have the right information at the right time, to make smarter decisions. This process, in essence, reflects an organizational capability to improve managerial decision making across many core performance and financial areas. For years, organizations have sought to develop and deploy an effective process to capture and filter forward-looking measures that enable it to understand significant patterns, relationships, and trends in order to facilitate better and more insightful decisions about the future. This book is intended to promote clarity and ensure that the application of AI-Enabled Predictive Business Analytics is relevant to all business functions"-- Provided by publisher

Contents:

Part 1: Fundamentals

Chapter 1

A Primer on AI-Enabled Analytics for Business

Chapter 2

Why AI-Enabled Analytics Is Essential for Business

Chapter 3

Myths and Misconceptions about Analytics

Chapter 4

Applications of AI-Enabled Analytics

Part 2: Roadmap

Chapter 5

Roadmap for How to Implement AI-Enabled Analytics in Business

Chapter 6

Executive Responsibilities to Implement Analytics

Chapter 7

Implementing Analytics

Chapter 8

The Role of Analytics in Strategic Decisions

Part 3: Use Cases

Chapter 9

Cases of Analytics Failures from Deviation to the Roadmap

Chapter 10

Use Case: Grabbing Defeat from the Jaws of Victory

Chapter 11

Use Case: Incremental Improvements to Gain Insights

Chapter 12

Use Case: Analytics Are for Everyone.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781119736103

1119736102

9781119736110

1119736110

9781119736097

1119736099

OCLC:

1292365478