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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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 shop floor data collection


What’s Happening on Your Shop Floor?
While many ERP software companies claim to support manufacturing companies, their solutions do little more than accounting, order entry, and other office tasks.

shop floor data collection  provides an extremely strong Shop Floor Control System (also known as Manufacturing Execution System (MES)). Many ERP software companies claim to support manufacturing companies, but they do little more than accounting, order entry, and other office tasks. Source: Plex Systems Resources Related to What's Happening on Your Shop Floor? : Shop Floor (Wikipedia) Manufacturing Execution Systems (MES) (Wikipedia) What's Happening on Your Shop Floor? Shop Floor is also known as : Shop Floor Management , Shop

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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

Enterprise Content Management (ECM)

A content management system is a software package designed to manage an organization''s entire collection of documents, records, and other information assets. Content management systems are built on a central repository, which holds all content, metadata, rules, and supporting information. Around this, processes and disciplines are established that ensure that day-to-day activities run smoothly and efficiently.  

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Documents related to » shop floor data collection

Acumen Data Systems


Acumen Data Systems provides employee time and attendance systems and software. Its software’s focuses include job tracking, shop floor data collection, and employee scheduling.

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Enterprise Resource Planning Giants Eye the Shop Floor


Because production systems on the shop floor are typically not synchronized and integrated with the planning ones, there is a lack of timely and accurate information that results in disconnected business processes.

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Plant Intelligence as Glue for Dispersed Data?


Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based decision-making. Not only will they be better prepared for unplanned events, but they will also know how their responses will impact the company.

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Tying the Shop Floor to the ERP System


Enterprise resource planning (ERP) on the shop floor is critical. High-performing manufacturers have found that full integration of real-time operational data collected from the shop floor to the top floor is key to reducing costs, streamlining operations, and improving customer satisfaction. Learn how integrated ERP brings manufacturers improved quality, increased production throughput, less scrap, and other benefits.

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Tailoring SAP Data Management for Companies of All Sizes


The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

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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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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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