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Managing Your Supply Chain Using Microsoft Axapta: A Book ExcerptPart One: Sales and Operations Planning
Managing Your Supply Chain Using Microsoft Axapta provides an overall understanding of how the system fits together to run a manufacturing or distribution

axapta data model  Supply Chain Using Microsoft Axapta by Dr. Scott Hamilton. The book can be ordered on amazon.com. Part Two will discuss Understanding Planning Calculations . Part Three will present Common Scenarios . Part Four will propose Guidelines and Case Studies . Reprinted with permission from McGraw-Hill Identifying Demands Sales orders identify actual demands. Actual demands drive all supply chain activities when visibility of the sales order backlog exceeds the cumulative lead-time to obtain and ship a Read More

Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » axapta data model


Microsoft Dynamics AX: The Chosen One Among Microsoft Dynamics ERP Equals? - Part 3
Part 1 of this blog series positioned all four Microsoft Dynamics enterprise resource planning (ERP) product lines and concluded that Microsoft Dynamics AX

axapta data model  be the powerful proprietary Axapta Report Writer that has been replaced by SQL Server Reporting Services ( SSRS , as mentioned in Part 2 ).  My colleague Kurt Chen explains well in his 2008 blog post  that Microsoft’s familiarity should not necessarily be taken as “done deal” when it comes to users’ acceptance of new technologies and abandonment of their beloved old solutions. Currently, Microsoft Dynamics AX does not yet fully embrace all of the latest  .NET Framework  development Read More
Microsoft Axapta: Design Factors Shape System Usage Part Two: Distribution Environments
If you are implementing or considering Microsoft Axapta as your ERP system, or providing Axapta-related services, this note provides an overall understanding of

axapta data model  Supply Chain using Microsoft Axapta by Dr. Scott Hamilton System Usage in Distribution Environments The standardized functionality in an ERP system shapes its usage. Efforts to use the system should be guided by (rather than run counter to) its fundamental underlying design. This section reviews the major design factors affecting system usage in a distribution environment; the next section covers factors affecting usage in manufacturing environments. A distribution environment typically involves the Read More
Microsoft Axapta: Design Factors Shape System Usage Part Three: Manufacturing Environments
If you are implementing or considering Microsoft Axapta as your ERP system, or providing Axapta-related services, this note provides an overall understanding of

axapta data model  Supply Chain using Microsoft Axapta by Dr. Scott Hamilton, available at Amazon.com and book stores. System Usage in Manufacturing Environments The standardized functionality in an ERP system shapes its usage. Efforts to use the system should be guided by (rather than run counter to) its fundamental underlying design. This section reviews the major design factors affecting system usage in manufacturing environments. Manufacturing environments transform purchased materials into saleable items. In addition Read More
Managing Your Supply Chain Using Microsoft Axapta: A Book Excerpt Part Three: Common Scenarios
The nature of a sales and operations planning (S&OP) game plan depends on several factors, such as the need to anticipate demand, the item's primary source of

axapta data model  Supply Chain Using Microsoft Axapta by Dr. Scott Hamilton. The book can be ordered on amazon.com. Part One began the discussion of Sales and Operations Planning. Part Two detailed Understanding Planning Calculations. Part Four will propose Guidelines and Case Studies. Reprinted with permission from McGraw-Hill S&OP Approaches for a Make-to-Order Product The game plan for a make-to-order manufactured item depends on the approach for anticipating demand of stocked components, the need for direct Read More
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

axapta data model  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

axapta data model  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More
MSI Data


axapta data model  Data Read More
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

axapta data model  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

axapta data model  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, Read More
Model N
Model N@s revenue management solution solves critical business challenges for enterprise life sciences and high-tech companies by linking and automating the

axapta data model  revenue management solution, configure price quote, CPQ, price management Read More
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

axapta data model  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

axapta data model  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

axapta data model  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system Read More
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

axapta data model  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More
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