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Data Model

The Data Model Resource Book, Revised Edition, Volumes 1 & 2

To help us provide a strong data model foundation for the project we are using entity designs from these books and from various standards bodies. These books have been an excellent reference and useful design guide for handling business related data. Open For Business uses a variation on the models in the book, but most concepts from the book are actively used, enough so that it is very worth it to buy these books.

Accounting and Supply Chain

Accounting Best Practices

This book is one of many accounting and financial management books by Steven M. Bragg. It covers general processes and methods for financial and to some extent general enterprise resource management. It is understandable for those who are not accountants, yet still of incredible value to those who are. These are some of the best practices approaches that we have already or plan to incorporate into the OFBiz applications.

Supply Chain Strategy

This book is to Supply Chain Management what Steven Bragg's book is to Accounting. It is a great resource for inventory and warehouse management best practices and includes numerous examples of statistical analysis in addition to various processes and methods.

Reporting, Warehousing and Mining

The Data Warehouse Toolkit, Second Edition

This book covers general data warehousing principles, but perhaps even more useful it also includes discussion of warehousing strategies and models for things such as retail sales, inventory, procurement, order management, CRM, accounting, human resources, financial services, utilities, transportation, education, health care, ecommerce, and insurance. In essence there is a lot of useful information here for future expansion of OFBiz.

Data Mining, Second Edition

covers general data mining principles with practical demonstrations based on the open source Weka software. These concepts and tools are used for things such as classification, clustering, decision trees, etc. Has brief coverage of text mining, but on that topic Document Warehousing and Text Mining is much more complete and applicable.

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