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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 processing terminology  The technique of coordinating data processing with external related physical events as they occur, thereby permitting prompt reporting of conditions. The immediate availability of data to an information system as a transaction or event occurs. relational database : A software program that allows users to obtain information drawn from two or more databases that are made up of two-dimensional arrays of data. reorder point (ROP) system : Inventory method that places an order for a lot whenever the quantity Read More

Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » data processing terminology


The Seven Types of Power Problems
Many of the mysteries of equipment failure, downtime, software, and data corruption are the result of a problematic power supply. Compounding the problem is

data processing terminology  do, especially between common data processing equipment such as computers in a network. However, SPD and UPS devices can sometimes not prevent the intersystem occurrences of oscillatory transients that a Zero Crossing Switch and/or choke type device can prevent on specialized equipment, such as manufacturing floor machinery and there control systems. 2. Interruptions An interruption (Figure 6) is defined as the complete loss of supply voltage or load current. Depending on its duration, an interruption is Read More
Glossary of Enterprise Applications Terminology Part One: Accounts Payable Through Internet
As enterprise applications systems developed over time, a continuous stream of new terminology surfaced. This is a glossary of those terms.

data processing terminology  Internet database : A data processing file-management approach designed to establish the independence of computer programs from data files. Redundancy is minimized, and data elements can be added to, or deleted from, the file structure without necessitating changes to existing computer programs. database management system (DBMS) : The software designed for organizing data and providing the mechanism for storing, maintaining, and retrieving that data on a physical medium (i.e., a database). A DBMS Read More
The Potential of Visa's XML Standard
Visa introduces a new global XML invoice specification.

data processing terminology  exchange invoice and payment data across industries and technical processing platforms. Implementation of the specification enables corporations to negotiate prices and control costs, as well as increase productivity by eliminating manual processes. It is being introduced as an open standard in the global commercial marketplace. The new Visa Global XML Invoice Specification was developed with Visa technology partners Commerce One, IBM, Sun Microsystems, Inc. and ValiCert, Inc. These partners provided Read More
CRM Without Workflow Is Not CRM: How to Maximize Sales and Service Productivity
Since there are multiple vendors offering hosted customer relationship management (CRM) applications, the buyer’s toughest decision is finding a vendor that

data processing terminology  | Customers | Customers Data | Customers Relationship Management | Customers Relationships | Document Automation | Document Workflow | Dynamics CRM | Enterprise Content Management | Enterprise CRM | Enterprise Workflow | Hosted CRM | Hosted CRM Comparison | Hosted CRM Reviews | Hosted CRM Software | Hosted CRM Solutions | Hosted Customer Relationship Management | Implement CRM Software System | Implement CRM System | Implement CRM System Model | Implement CRM System Process | Implement CRM System Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data processing terminology  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data processing terminology  areas of BI, including data warehousing; extract, transform, and load (ETL); online analytical processing (OLAP); reporting; and custom application development. Past positions Mallikarjunan has held include technical lead and applications development manager of a team of .NET, data warehousing, and BI professionals for a fashion retail company. In this role, she was responsible for the development, maintenance, and support of Windows and Web-based applications, as well as an operational data store, data 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

data processing terminology  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 Read More
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

data processing terminology  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

data processing terminology  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most Read More
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

data processing terminology  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

data processing terminology  of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More
The Use of Ceiling-Ducted Air Containment in Data Centers
Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center

data processing terminology  Ceiling-Ducted Air Containment in Data Centers Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established and Read More
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

data processing terminology  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data 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

data processing terminology  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. Read More

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