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Software Functionality Revealed in Detail
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 mrp forecast accuracy data

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.

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Enterprise Resource Planning (ERP)

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Documents related to » mrp forecast accuracy data

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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Optiant Going to a (Much) Better Place: Logility - Part 2


Part 1 of this series analyzed the late-March acquisition of long struggling inventory optimization (IO) provider Optiant by long well-performing supply chain management (SCM) provider Logility. The blog post then discussed Logility’s acquisition history to set the stage for the current offerings that Optiant will join. The 2004 acquisition of Demand Management, Inc. (DMI) and its Demand

mrp forecast accuracy data  of  material requirements planning (MRP) ,  enterprise resource planning (ERP) , and legacy enterprise applications, such as Microsoft Dynamics or SAP Business One . Other than on an individual opportunity basis, Optiant is not likely to provide major benefits to Demand Solutions customers, who are typically much smaller in size with simpler  supply chain networks . Leveraging a Two-brand Product Strategy I am not sure whether Demand Solutions has been a major growth engine within Logility, but it ce Read More

Zemeter


Zemeter Demand Planner helps planning, forecasting, sales, and operations arrive at a single set of numbers, so everyone is managing from the same set of data. Zemeter facilitates ease of use and minimizes the effort required to regularly contribute to a demand plan. Zemeter does the up-front work by providing a baseline forecast in views that are meaningful to the various users. The product provides both a reporting and performance engine, with online analytical processing (OLAP) functionality that helps draw the team’s attention to areas costing the company money due to lost sales and unprofitable decisions. Zemeter enhances the timeliness and accuracy of dynamic collaborative demand planning. In addition to Demand Planner, the product modules include Business Analyst, Inventory Planner, Supply Planner, Finite Scheduler, Network Optimizer, Knowledge Repository, and the prepackaged, streamlined Zemeter S&OP product for small to midsized manufacturers. Zemeter modules run on an easy-to-use Microsoft platform, and provide the same intuitive Outlook and Excel interfaces. SCC offices are located in Wilmington, Delaware (US) and Antwepen (Belgium).  

mrp forecast accuracy data  Zemeter Demand Planner helps planning, forecasting, sales, and operations arrive at a single set of numbers, so everyone is managing from the same set of data. Zemeter facilitates ease of use and minimizes the effort required to regularly contribute to a demand plan. Zemeter does the up-front work by providing a baseline forecast in views that are meaningful to the various users. The product provides both a reporting and performance engine, with online analytical processing (OLAP) functionality Read More

Nine Ways to Use ERP to Make the Manufacturing Supply Chain Lean


There are entire books and thorough training and certification processes devoted to lean supply chain practices. But within any manufacturing environment, there are a few relatively simple steps that will help any enterprise make its supply chain lean. In this article, we will touch on these simple measures—measures that any company can take.

mrp forecast accuracy data  operate with one single MRP process. Consider that company that manufactures in a make-to-stock (MTS) mode, whose executives feel that this single MTS enterprise system is adequate for their needs. This attitude is fine—if a manufacturer has a stable, predictable demand for all of its products. But in reality, few manufacturers have the luxury of flat demand. More often the rule of Pareto is applicable. This rule suggests that 20 percent of products have a stable demand, and you can manufacture the Read More

N-Tier Demand Management


The classic bull-whip effect means that the further a supplier is removed from the end consumer, the worse are the fluctuations in demand that they see. This has led many to recommend an n-tier approach to demand management, where everyone gets visibility to the end-customer demand at the same time. In practice, very few companies have been able to actually realize this vision. There are some practical approaches that a few leading suppliers deep in the supply chain are have taken to successfully mitigate the bull-whip effect.

mrp forecast accuracy data  they have in their MRP plans for individual parts. [1] Aggregating by customer is only worth effort for your top customers (e.g. the top 20% of customers comprising 80% of demand). Demand from smaller customers can be aggregated by channel. [2] Sell-through means knowing your channels'' sales data, in this case the actual sales of the OEM, rather than consumption into their production lines. Avoiding the Multi-Counting Trap Suppliers that are several layers removed from the end-customer in multi-tier suppl Read More

Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

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Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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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.

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Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

mrp forecast accuracy data   Read More

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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Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse


In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Data Warehouse in detail, including functionality, distinguishing characteristics, and Teradata's role in the competitive data warehouse space.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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Forrester TechRadar Report: Data Security


Data security is not just an IT issue these days but a business imperative, as data volumes explode and it is becoming a Herculean task to protect sensitive data from cybercriminals and prevent privacy infringements. As data volumes continue to rise, the burden of protecting sensitive data and preventing security breaches can be crushing. It is necessary to take a holistic, comprehensive, and long-lasting approach to data security that encompasses people, processes, and technology.

This Forrester TechRadar Data Security report provides a framework for developing a long-term approach to keeping your organization’s information secure. Data breaches and insider threats are becoming more common, and your organization needs to achieve compliance and secure privacy without affecting the bottom line. Most companies are also interested in adopting cloud, mobile, and other technologies, which can complicate data security matters even more.

This comprehensive and in-depth report evaluates 20 of the key traditional and emerging data security technologies. To make the report, Forrester interviewed over 40 experts, customers, and users, and drew from a wealth of analyst experience, insight, and research.

Use this report to get informed about what you need to consider to restrict and strictly enforce access control to data, monitor, and identify abnormal patterns of network or user behavior, block exfiltration of sensitive data, and render successful theft of data harmless.

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