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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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 jobs data warehousing business intelligence


Comparing Business Intelligence and Data Integration Best-of-breed Vendors' Extract Transform and Load Solutions
There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework,

jobs data warehousing business intelligence  schedule process builds and jobs on any server located within the network. Additionally, processes such as hierarchy and data validation definitions are automated, allowing embedded support for slowly changing dimensions and late arriving data. Data Manager enables the data integration process within a simple drag-and-drop environment. SAS 's Data Integration uses a wizard-driven user interface to provide ease of use for end users. Included in its ETL functionality is the ability for processing to occur

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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

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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Business Intelligence Success, Lessons Learned


Is business intelligence (BI) an application that pays off? We have all heard mixed results but a 2003 extensive study on on-line analytical processing (OLAP) states that BI usually pays off over 60 percent of the time , explains where the value is found, and describes what’s required to get the pay off.

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Open Source Business Intelligence: The Quiet Evolution


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The Challenges of a Business Intelligence Implementation: A Case Study


The University of Illinois provides a good example of extensive integration of its business intelligence (BI) solution and data warehousing environment with its enterprise resource planning (ERP) solution.

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Making Business Intelligence Easy: Collaborative Business Intelligence


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Business Community Management: Powering On-demand, Profitable Business Communities


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The Five Styles of Business Intelligence: Industrial-strength Business Intelligence


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Crossing the Chasm between IT and Business Teams with New Approaches to Business Intelligence


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Creating Competitive Advantage with Business Intelligence Pervasiveness


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