menu
{ "item_title" : "Financial Data Automation for CFOs", "item_author" : [" Danny Munrow", "Samantha R. Prescott "], "item_description" : "Reactive PublishingStreamline your organization's financial reporting and eliminate manual spreadsheet manipulation. Financial Data Automation for CFOs provides a clear, strategic framework for accounting and finance leaders looking to modernize their data pipelines using Microsoft's built-in tools.As financial data grows in volume and complexity, traditional Excel workflows often rely on fragile formulas, copy-pasting, and labor-intensive reconciliation. This practical guide demonstrates how to harness Power Query and the M functional language to build robust, repeatable automated workflows directly within your existing software ecosystem.What You Will Learn: Data Ingestion & Cleaning: Connect directly to ERP systems, bank feeds, GL exports, and unstructured CSV/PDF files to automate initial data extraction.Complex Transformations: Reshape untidy data sets, unpivot multi-period reports, and establish consistent data models for rapid variance analysis.M Language Essentials: Master foundational M code patterns to handle advanced logic, conditional statements, and dynamic parameters without building overly complex formulas.Auditability & Control: Design transparent, repeatable data pipelines that reduce human error, streamline audit trails, and maintain data integrity across reporting cycles.Executive Implementation: Transition your finance team from time-consuming data preparation to high-value strategic analysis and forecasting.Written specifically for executives, controllers, and senior financial managers, this guide offers actionable examples and field-tested strategies to transform your department's reporting speed, accuracy, and operational efficiency.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/819/122/9798191229317_b.jpg", "price_data" : { "retail_price" : "35.99", "online_price" : "35.99", "our_price" : "35.99", "club_price" : "35.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Financial Data Automation for CFOs|Danny Munrow

Financial Data Automation for CFOs : A Practical Guide to Power Query and M

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Reactive Publishing

Streamline your organization's financial reporting and eliminate manual spreadsheet manipulation. Financial Data Automation for CFOs provides a clear, strategic framework for accounting and finance leaders looking to modernize their data pipelines using Microsoft's built-in tools.

As financial data grows in volume and complexity, traditional Excel workflows often rely on fragile formulas, copy-pasting, and labor-intensive reconciliation. This practical guide demonstrates how to harness Power Query and the M functional language to build robust, repeatable automated workflows directly within your existing software ecosystem.

What You Will Learn:

  • Data Ingestion & Cleaning: Connect directly to ERP systems, bank feeds, GL exports, and unstructured CSV/PDF files to automate initial data extraction.

  • Complex Transformations: Reshape untidy data sets, unpivot multi-period reports, and establish consistent data models for rapid variance analysis.

  • M Language Essentials: Master foundational M code patterns to handle advanced logic, conditional statements, and dynamic parameters without building overly complex formulas.

  • Auditability & Control: Design transparent, repeatable data pipelines that reduce human error, streamline audit trails, and maintain data integrity across reporting cycles.

  • Executive Implementation: Transition your finance team from time-consuming data preparation to high-value strategic analysis and forecasting.

Written specifically for executives, controllers, and senior financial managers, this guide offers actionable examples and field-tested strategies to transform your department's reporting speed, accuracy, and operational efficiency.

This item is Non-Returnable

Details

  • ISBN-13: 9798191229317
  • ISBN-10: 9798191229317
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 9 x 6 x 1.31 inches
  • Shipping Weight: 1.39 pounds
  • Page Count: 530

Related Categories

You May Also Like...

    1

BAM Customer Reviews