Automated Data Analysis Using Excel - Practical VBA and Reporting

Our review of Automated Data Analysis Using Excel explains why this edition is valuable for analysts and advanced Excel users who need repeatable, programmable workflows. The book is aimed at practitioners who want to automate data retrieval, processing, fitting and reporting inside Excel 2019 and newer Office releases. The single biggest reason to buy is the hands-on coverage of using VBA with ADO, DAO and SQL plus ribbon customization techniques that let a user convert manual analysis into reusable, auditable procedures.

Key Features

• Ribbon customization: Shows how to inject XML into workbooks and link Excel VBA macros to custom ribbon objects so tools are accessible to end users.
• Database access: Demonstrates using ADO, DAO and SQL queries to retrieve and prepare external data for automated analysis within Excel.
• Automated curve fitting: Provides procedures for fully automated linear and non-linear curve fitting to speed model selection and parameter estimation.
• Data handling: Illustrates automated mapping, sorting and filtering routines that reduce manual preprocessing time for large spreadsheets.
• Reporting and archiving: Explains how to prepare custom reports suitable for legal archiving and consistent dissemination of results.

Who It's For

This book is best for data analysts, engineers and applied statisticians who use Excel as a primary analysis environment and who are comfortable with VBA or ready to learn it. It is particularly useful for users who must build repeatable, documented workflows and generate reports that require traceability.

Those who should look elsewhere include complete Excel beginners seeking introductory formulas or users who prefer GUI-only tools without any programming. Readers expecting a general textbook on statistical theory rather than applied automation will also want different material.

Pros & Cons

Pros

• Practical examples of Excel VBA tied to real automation tasks make it straightforward to implement in workbooks.
• Coverage of ADO, DAO and SQL gives concrete options for accessing external databases from Excel.
• Updated techniques for charting and plotting using the latest VBA object models help create polished visual outputs.

Cons

• Focus is on programmatic solutions so readers seeking purely formulaic or menu-driven instruction may find it dense.
• Examples target Excel 2019 and later, so users on much older Office versions may need adaptation.

Specifications

Our Verdict

This edition is a practical, implementation-focused guide for anyone who must automate analysis inside Excel and deliver repeatable, auditable reports. It is good value for competent VBA users and technical analysts because it converts manual tasks into maintainable code and shows how to connect Excel to databases and custom ribbon interfaces.

Frequently Asked Questions

Does this book require prior VBA experience?
Basic VBA familiarity helps, but the examples are practical and intended to be followed by readers willing to learn programmatic techniques.

Can I use the examples with external databases?
Yes, the book demonstrates using ADO, DAO and SQL queries to retrieve and prepare external data for analysis.

Is this edition compatible with older Excel versions?
Examples target Excel 2019 and newer VBA object models; older Office versions may require adapting some code.