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Software Functionality Revealed in Detail
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 definition of data warehousing etl

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

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 order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection. 

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Documents related to » definition of data warehousing etl

A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

definition of data warehousing etl  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

definition of data warehousing etl  Cost Data | Product Definition Data | Product Life Cycle Data | Product Performance Data | Product Pricing Data | Product Reference Data | Product Review Data | Product Sales Data | Products Reference Data | Quality Data Products | Resource Data Products | Source Data Products | Technical Product Data | True Data Products | Virtual Product Data | World Data Product | PMPO Product Data | PMPO Product Data Analyst | PMPO Product Data Base | PMPO Product Data Feed | PMPO Product Data File | PMPO Product Read More

Developing a Universal Approach to Cleansing Customer and Product Data


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definition of data warehousing etl  Data Quality? A useful definition of quality can be found in the ISO 8402 specification, which defines quality as, The totality of characteristics of an entity that bear on its ability to satisfy stated or implied needs. If we apply this definition to data, then it means that data quality is dependent not only the characteristics of the data itself, but also on the business context in which it is used, i.e., on the business processes and business users that employ it. This is somewhat analogous to produ Read More

Access to Critical Business Intelligence: Challenging Data Warehouses?


There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.

definition of data warehousing etl  but a DW, by definition, is a copy of the original data records. DWs are constantly being shifted, updated, or consolidated, and they combine data from multiple systems, each with different business rules. On the contrary, Vanguard''s Direct Access pulls information directly from the transaction systems—the real systems of record—so that the question of what version of the data is reported becomes obsolete. The issue is also whether there is a point of integrating a large amount of data in a DW when Read More

Best Practices for a Data Warehouse on Oracle Database 11g


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The Best of Both Worlds: Gain Flexibility through Multiple Models of Software Delivery


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definition of data warehousing etl  Best of Both Worlds: Gain Flexibility through Multiple Models of Software Delivery Lower IT costs, faster return on investment (ROI), and better security—just a few of the promises the software-as-a-service (SaaS) business model makes. SaaS can help small-to-medium businesses manage customer service and support cost-effectively. But there are a few concerns to consider if you’re thinking of an on-demand service. A vendor that offers the best of both on-demand and on-premise solutions may be the Read More

The Integration Factor: The Inherent Value of Best-of-Class Enterprise Solutions


Monolithic ERP systems have proved inflexible in a period of change. The cost of maintenance and modifications are often prohibitively expensive. Yet most best-of-class applications generally lack strong integration tools. As a result, many companies cannot support change effectively. See how you can supplement the capabilities of your legacy ERP solutions with a flexible, innovative financial management system-and thrive during change.

definition of data warehousing etl  Integration Factor: The Inherent Value of Best-of-Class Enterprise Solutions Monolithic ERP systems have proved inflexible in a period of change. The cost of maintenance and modifications are often prohibitively expensive. Yet most best-of-class applications generally lack strong integration tools. As a result, many companies cannot support change effectively. See how you can supplement the capabilities of your legacy ERP solutions with a flexible, innovative financial management system-and thrive Read More

The New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence


Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now.

definition of data warehousing etl  New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now. Read More

Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

definition of data warehousing etl  Data and the Fast Data Stack Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds. This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, Read More

Data Center Projects: Project Management


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definition of data warehousing etl  A clear and complete definition of management roles enables those roles to be captured as statements of work and offered as service modules, for customers who wish to delegate project management responsibilities. Other organizations may have their own description of similar management roles, with different terminology and responsibility grouping, but the goals are the same: clearly defined roles, consistent terminology, and explicit responsibility. Well articulated management roles should be standard Read More

Linked Enterprise Data: Data at the heart of the company


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definition of data warehousing etl  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

The Dollars and Sense of Web Identity Management: How SaaS Cuts the High Costs of Web Access and SSO by 75 Percent


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definition of data warehousing etl  Dollars and Sense of Web Identity Management: How SaaS Cuts the High Costs of Web Access and SSO by 75 Percent IT infrastructure software has a well-established track record for experiencing frequent cost overruns and missed deadlines. Expensive software and extensive customization are the key contributors to increasing identity management costs to four or five times more than the price of the initial identity software license. Learn how software as a service (SaaS) can reduce the cost and complexity of Read More

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definition of data warehousing etl  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More

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definition of data warehousing etl  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More