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Forecasting Revenue and Expenses for Small Business

Forecasting Revenue and Expenses for Small Business


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About the Book

This book is #2 in the Small Business Power Book Series. It includes a small business version of Auditmetrics AI V6.5 that advances analytics for small businesses. All three books are guides in learning the analytics of the Auditmetrics AI business system. The included software has file size and feature limitations. It will be fine for small businesses with 10 employees or less. For larger businesses, the full features of Auditmetrics AI Professional would be required with its ability to sample up to millions of account records.

All books and software are ideally suited for small businesses that operate on desktop and laptop computers. They assist in competing in an evolving technology driven business environment that favors analytics. Our economy is on a high tech commercial revolution where huge business entities marshal vast sophisticated programming to correct past deficiencies and search for potential opportunities. Auditmetrics helps the smaller enterprise survive by providing a level analytical playing field. It is designed as a complete resource for business analytic methods and technology.

To get an overview of the operation of the AI Assistance System and Small Business Power Book Series, select the trailer link below:
https: //auditmetrics.com/app_data/trailer2.mp4

For help with Book/Software set up: support@auditmetrics.com

The use of statistical analytics in forecasting cashflow can involve complex procedures that may be beyond the experience of many small business managers. With the software's use of AI assistance, the manager needs only to decide on a few key targeted statistical inputs and this book guide the user from initial plan to completed product. Auditmetrics AI was originally developed for auditors to quickly get up to speed with Computer Assisted Audit Techniques (CAATs) system that is being pushed by government agencies and large corporations. Auditmetrics algorithms conforms to both AICPA and IRS statistical standards.

Auditmetrics has recently expanded data input potential by adding an ability to input data from standard reports that many accounting management systems such as QuickBooks offer. It then can provide a complete analytical framework from auditing cashflow to forecasting revenue and expenses. All of this is done in a user friendly environment such that one can traverse the complexity of the statistical audit by using a simple three step process.

This book guides the business manager through the process from original statistical sample to developing datasets for statistical forecasting techniques using such powerful tools as regression and correlation. There is no need for any additional statistical software. All analytic techniques are available through MS Excel's Analysis ToolPak, an add-in feature that provides data analysis tools for financial and statistical data analysis.

"Forecasting Revenue and Expenses for Small Business"

PART I - The Statistical Method
In this section is covered the statistical principles of analyzing empirically derived account data that is the underpinning of economic analysis. The fundamental idea covered is the uncertainty and variation of data used to help explore and understand the dynamics of the business fiscal environment.

PART II - Forecasting Revenue and Expenses using Multivariate Techniques. This Section is the discussion of two powerful tools for forecasting future economic activity, linear regression and correlation. The building and interpretation of regression model outputs is accomplished by using MS Excel built-in functions


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Product Details
  • ISBN-13: 9780578797250
  • Publisher: R. R. Bowker
  • Publisher Imprint: R. R. Bowker
  • Height: 229 mm
  • No of Pages: 108
  • Series Title: Small Business Analytics
  • Sub Title: Using Statistical Analytics
  • Width: 152 mm
  • ISBN-10: 0578797259
  • Publisher Date: 30 Oct 2020
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 6 mm
  • Weight: 209 gr


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