Frictionless Data : Solutions for Better, Faster Decisions.

Format:

Book

Author/Creator:

Hall, Zane.

Series:

Big data, business analytics, and smart technology collection.

Big data, business analytics, and smart technology collection

Language:

English

Physical Description:

1 online resource (208 pages)

Edition:

1st ed.

Other Title:

Frictionless data

Place of Publication:

New York : Business Expert Press, 2025.

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Summary:

You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions , you'll need to reverse the way data flows through all your systems and decisions. If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company. Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale. That's Frictionless Decision Data.

Contents:

Front cover

Half title

Title

Copyright

DESCRIPTION

CONTENTS

FOREWORD

PREFACE

INTRODUCTION

What's Your Data Strategy?

The Solution

HOW TO READ THIS BOOK

Defining Terms

Information Technology

Business Intelligence

Artificial Intelligence

About Me

Navigating This Book

PART 1 See the Friction

CHAPTER 1 FRICTION

Signs of an Ineffective Data Strategy

Slow Decision Cycles

Limited Collaboration

Fragile and Unreliable Data

Metrics Depend on People Instead of Systems

Low Business Visibility

High Spending

The Information Technology Team Adds Friction

CHAPTER 2 CHANGE

Three Scenarios

Change Success Factors

Centralization

Technical Debt

Awareness

Starting From Scratch

An Integrated Mindset

Starting Over

Starting From Everywhere

Change Agents

CHAPTER 3 ALIGNMENT

Three Dimensions, Not Two

Decision Data Gaps

Structural Resistance

Organizational Resistance

PART 2 Reverse the Flow

CHAPTER 4 FLOW

How Decisions Flow

Henry Ford and Workflows

Thought Architecture

Data Flows

Traditional Versus Frictionless Data Flows

Reversing the Flow at Maxim

CHAPTER 5 PERSONAS

Types of FDD Personas

Executives

Service Staff

Analysts

CHAPTER 6 TRUST

Trust Part 1: Earning Trust Through Accuracy

Integrated Equals Accurate

The Process

Trust Part 2: Earning Trust Through Quality

Data Emergencies

Reactive Versus Proactive

CHAPTER 7 VISIBILITY

Metric Effectiveness

Horizontal Value

Vertical Value

Future Visibility

What Makes a Good Dashboard?

Newsy

Actionable

Visual

PART 3 Build the Framework

CHAPTER 8 FOUNDATION

Building on Water

Data Types

Master Data

Master Data Characteristics

Source

Velocity

Volume

Retention

Plan Data.

Where to Manage Plan Data

Plan Data Characteristics

Transaction Data

Transaction Data Agility

CHAPTER 9 ARCHITECTURE

The History of Data Architecture

Shifting Technologies, Shifting Corporate Priorities

The Layers

The Warehouse Layer

Store All the Data

Store the Data in Its Natural Form

Store the Data With Its Natural Relationships

Store the Data With Links to Master Data

The Modeling Layer

Database

Pivots and Dashboards

CHAPTER 10 ORGANIZATION

Centralization Creates Visibility

Domains and Subdomains

Outcomes

Centralization Right-Sizes a Data Team

Change Management

Centralization Clarifies Roles

Separating Motivations

Centralization Creates Clear Roadmaps

Finding Balance

Compare the Master Data

Compare the Source Data

Compare the Business Models

CHAPTER 11 AGILITY

Nimble Practices

Maintain Hierarchies Differently

Accelerate the Cadence

Adopt a Daily Cadence

Avoid Real-Time Analytics

Triangulate Decision Processes

The 00001010 Commandments of Data

Clumsy Data Practices

Agile Data Practices

PART 4 Influence the Business

CHAPTER 12 REFACTORING

Refactor #1: Stop Creating Reports

Refactor #2: Stop Taking Shortcuts

Refactor #3: Stop Aimlessly Moving Data

Messaging

Batching

Mirroring

CHAPTER 13 SECURITY

Part 1: No Data Strategy, Too Much Access

Cell-Level Security

Managing Access

Role-Based Access Control

Data Cataloging

Identity Management

User Monitoring

Exfiltration and Spreadsheets

Part 2: The Case Against Raw Data

Raw Data Bypasses Security

Raw Data Subverts Business Logic Alignment

Raw Data Kills Your Ability to Catalog Data

Raw Data Performs Poorly

Raw Data Is Not Time-Based

Raw Data Kills Self-Service

Business Partnering With Security

CHAPTER 14 ACCURACY.

Financial Accuracy

Exception Reporting

Data Quality as Culture Change

CHAPTER 15 PEOPLE

Part 1: Explaining the Value

Tip of the IT Iceberg

Explaining the Value

Part 2: Leading a Data Team

Connecting Vision to the Work

ACKNOWLEDGMENTS

APPENDIX Benchmarking

Defining the Index

Collaboration

Integration

Visibility

Reliability

Value

Accessibility

NOTES

Preface

How to Read This Book

Chapter 1

Chapter 3

Chapter 4

Chapter 10

REFERENCES

BIBLIOGRAPHY

ABOUT THE AUTHOR

INDEX

Back cover.

Notes:

Includes bibliographical references (page 171) and index.

Description based on publisher supplied metadata and other sources.

ISBN:

1-63742-821-9

OCLC:

1520915420