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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 Read More

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.

forecast accuracy data scm  Case Study: Peerless Pump Forecast Accuracy is also known as : Forecasting , Calculating Forecast Accuracy , Demand Forecast Accuracy , Measure Forecast Accuracy , Review Forecasting Accuracy , Forecast Accuracy Improvement , Forecasting Accuracy Methods , Increase Forecast Accuracy , Sample Forecast Accuracy , Equal Forecast Accuracy , Tests Forecast Accuracy , Analysts Forecast Accuracy , Assessing Forecast Accuracy , Modeling Forecast Accuracy , Uncertain Forecast Accuracy , Forecast Accuracy Results 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.

forecast accuracy data scm  Forecasting Data , Demand Forecast Accuracy , Demand Forecasting Data Cleansing , Demand Forecast Prediction , Determine Demand Forecast , Forecasting Needs , Retail Demand Forecasting , Time Series Forecasting , Define Demand Forecasting , Demand Forecasting Excel , Demand Planning , Article on Demand Forecasting , Demand Forecasting Activity , Increase Forecast Accuracy . Helping Distributors Maximize Business Potential Through Education and World-Class Technology From Microsoft Business Solutions Our 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 Read More

Identifying the ROI of a Software Application for SCM Part 1: We Need To Know Now


If you are not experiencing organizational stress in some of the areas where the benefits may occur, then perhaps a decision to invest in supply chain management software should be postponed. If you do have some pain in one or more of these areas, then you can follow the concepts in this article to understand the potential of supply chain management software to fix the cause of the pain and improve your bottom line. This part discusses the challenge of limited time to perform analysis.

forecast accuracy data scm  look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges make such perfect information elusive. Commonly, executives meet these challenges with responses that are not carefully considered. The challenges and the corresponding reactionary refrains are as follows: Limited time exists to perform analysis - We need to know now! Business analysis skills are lacking - We are looking for the vendor to tell us! The Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

forecast accuracy data scm  inventory, generating invoices and forecasting. To be of greatest value, this data needs to be up-to-date, relevant, consistent and accurate — only then can it be managed effectively and aggressively to create strategic advantage. Unfortunately, the problem of bad data is something all organizations have to contend with and protect against. Industry experts estimate that up to 60 percent or more of the average database is outdated, fl awed, or contains one or more errors. And, in the typical enterprise Read More

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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Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

forecast accuracy data scm  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

forecast accuracy data scm  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

forecast accuracy data scm  (reporting, analytics), planning (budgeting, forecasting), and collaborative (e-mail, blogging) applications. All of this data must be structurally and semantically consistent with its associated technical and business rules. One of the main objectives of a data quality program is to assess and correct data consistency and accuracy problems caused by applications that do not fully enforce those rules. Most data quality initiatives focus almost exclusively on structured data, which represents only a Read More

TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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