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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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 data warehouse glossary


Glossary of Enterprise Applications Terminology Part Two: Just-in-Time to Extensible Markup Language
As enterprise applications systems developed over time, a continuous stream of new terminology surfaced. This is a glossary of those terms.

data warehouse glossary  frequency communications, allowing real-time data transfer between the system and warehouse personnel. work in process (WIP) : A good or goods in various stages of completion throughout the plant, including all material from raw material that has been released for initial processing up to completely processed material awaiting final inspection and acceptance as finished goods inventory. Many accounting systems also include the value of semi-finished stock and components in this category. World Wide

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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

Warehouse Management Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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What’s New in Microsoft SQL Server 2000


SQL Server 2000, the next major release of SQL Server 7, is Microsoft’s SQL 7 release of its database both re-architected and re-written. Microsoft has high hopes for the latest version in a market that was worth $8 Billion in 1999, an 18% increase over 1998. What remains to be seen is whether it will attract customers not already using SQL Server.

data warehouse glossary  to penetrate the Enterprise Data Warehouse market. Their largest competitors are IBM's DB2 Universal Database and Oracle's 8i. The database market is growing at approximately 20% per year, and since Microsoft will continue to thrive with mid to low-end customers, they should profit greatly in these markets. In addition, Microsoft has announced that they are running 20 critical internal systems, including their worldwide sales data warehouse, on SQL Server 2000. In the vendor world, this is referred to as Read More

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data warehouse glossary  computing environments, such as data warehouses or server consolidation, and users who need high performance computing plus the flexibility of mixing and matching components in a rack. The feature set and hardware reliability features are good, and the only technology concern is based in the Profusion chipset, due to its newness. However, Dell's use of an Intel-designed board set should reduce Profusion-related concerns, after the current Xeon/Saber problems are resolved. The limited OS offerings should Read More

The Essential ERP - Its Genesis & Future


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data warehouse glossary  frequency communications, allowing real-time data transfer between the system and warehouse personnel. Read More

Glossary of Enterprise Applications Terminology Part One: Accounts Payable Through Internet


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data warehouse glossary  views of the data. data warehouse : A repository of data that has been specially prepared to support decision-making applications. discrete manufacturing : Production of distinct items such as automobiles, appliances, or computers. e-Business : The generic name given to any type of business conducted using the Internet from online trading to self-service. engineer-to-order (ETO) : Products whose customer specifications require unique engineering design, significant customization, or new purchased Read More

Flexible Customer Data Integration Solution Adapts to Your Business Needs


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data warehouse glossary  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless Read More

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


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data warehouse glossary  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 Read More

Linked Enterprise Data: Data at the heart of the company


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data warehouse glossary  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, Read More

Implementing Energy-Efficient Data Centers


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data warehouse glossary  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More

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.

data warehouse glossary  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. Read More

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.

data warehouse glossary  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More

Logs: Data Warehouse Style


Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

data warehouse glossary  Data Warehouse Style Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency. Read More

Warehouse Control Systems: Orchestrating Warehouse Efficiency


You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play the role of a conductor by ensuring the individual pieces of material-handling equipment—such as conveyors and sorters—perform with harmony, precision, and efficiency. Find out how implementing a WCS execution system can complement your WMS’s planning abilities.

data warehouse glossary  Control Systems: Orchestrating Warehouse Efficiency You’re probably already familiar with the role of a warehouse management system (WMS). But a warehouse control system (WCS)? In your warehouse, a WCS can play the role of a conductor by ensuring the individual pieces of material-handling equipment—such as conveyors and sorters—perform with harmony, precision, and efficiency. Find out how implementing a WCS execution system can complement your WMS’s planning abilities. Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


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data warehouse glossary  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More