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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.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 forecast accuracy data scm

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

Supply Chain Management (SCM)

Supply chain management (SCM) solutions include applications for managing supplier, manufacturer, wholesaler, retailer, and customer business processes. Addressing demand management, warehouse management, international trade logistics, transportation execution, and many other issues for a complete solution, this knowledge base will support your evaluation of an SCM suite. 

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Documents related to » forecast accuracy data scm

Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis


By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become more accurate. You can make an assumption on how much improvement might be possible. This part discusses the challenge of performing the data analysis.

forecast accuracy data scm  schedule changes due to forecast errors by that amount. Research average WIP and reduce that by the same factor. Put a procedure in place to track premium shipments that are paid by your company by reason code. Take the premium freight that is caused by bad forecasts to the bottom line. Then, since you made an assumption that forecasts could be 50% more accurate, you will need to perform some sensitivity analysis. Vary the 50% and see what the results tell you. This kind of simulation model can be created Read More

How to Improve the Accuracy of Your Forecasts


Increased competition, lower margins, and more customer demands mean that distributors have to provide better product availability and more services with fewer profit dollars. To accomplish this, estimates of future use of stocked items must be as accurate as possible. Discover how analyzing weighted averages, trend factors, and other formulas can help you accurately anticipate—and manage—future demand for your products.

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Case Study: Peerless Pump


Peerless Pump has been designing, engineering, and manufacturing pumps for more than 80 years. The company was basing component stock levels on historical data, as it did not have the ability to accurately forecast customer demand. But with forecasting and demand planning software that increased forecast accuracy, the company has nearly doubled its sales over the past four years, while keeping inventory levels constant.

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SAP SCM-Stepping Out of Obscurity


Major new SAP products are being released in the realms of supply chain management (SCM), manufacturing execution systems (MES), and product lifecycle management (PLM). TEC principal analyst P.J. Jakovljevic examines the solutions that SAP is offering for supply chain executives to expand beyond the traditional boundaries of SCM, PLM, and enterprise resource planning (ERP).

forecast accuracy data scm  intelligence (i.e., forecast error, forecast bias, and intermittency). On the side of supply chain intelligence, there are the mean lead-time, in-transit inventory, order processing/goods receipt, and lead-time variability factors. Finally, production variability comes from the mean schedule attainment and schedule attainment variability factors. Based on scalable Oracle ’s Java Enterprise Edition (J2EE) architecture, SAP’s EIO offering is synchronized with either SAP ERP or SAP APO transactional info Read More

A Tale of a Few Good SCM Players - Part 3


Part 1 of this blog post series followed the progress of Manhattan Associates from its inception in 1990 throughout the mid-2000s. During this time, Manhattan was the epitome of a well-managed supply chain management (SCM) software company in terms of market share, growth, profitability, and its products’ capabilities. Indeed, the company set the industry standard for the

forecast accuracy data scm  in inventory, improvement in forecast accuracy, improvement in asset utilization, reduction in freight costs, and so on and so forth. One of the key success factors is to ensure that these solutions, while loosely coupled, can still tie back into a broader SCM vision and platform that that enables changes to business processes and takes advantage of changes. What’s behind JDA’s Renaissance? This brings us to JDA Software , which posted a record year in 2008, had record quarters in 2009, and continues Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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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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