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Software Functionality Revealed in Detail
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 axapta data model


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

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

ERP for the Oil and Gas Industry (Upstream)

The model of ERP systems for the upstream oil and gas sector addresses the particularly specialized business model of this industry. It is common practice for companies, individuals, and government agencies to form partnerships to explore, develop, and share production of oil wells. More often than not, this is a short-term alliance rather than a long-term partnership, and business structuring must therefore be flexible at initial set-up and throughout the lifespan of the venture. This model of ERP systems includes criteria for financials, human resources, production data capture and reporting, maintenance management, and supply chain management (SCM) functionality. 

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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 [evaluate this product] has been selected as the ace in the Dynamics ERP lineup and a global “platform” player in selected industries. In other words, the product has been providing an industry-enabling layer upon which certified partners can

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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 how the system fits together to run a business. This section reviews the major design factors affecting system usage in a distribution environment.

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 how the system fits together to run a business. This section reviews the major design factors affecting system usage in a manufacturing environment.

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 supply, and the production strategy for manufactured items. Consideration of these factors can be illustrated with several common scenarios.

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Business Basics: Unscrubbed Data Is Poisonous Data


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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


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MSI Data


There are currently no details available for this vendor. However, we are working to update this vendor’s information in our database as soon as possible. Please check back again.

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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. 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.

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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


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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 technology selection and access to historical 'legacy' data are also discussed.

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Big Data Comes of Age: Shifting to a Real-time Data Platform


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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

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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 unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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