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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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 human resource data flow examples


Examples of Microsoft .NET Enablement
SYSPRO and Epicor are examples of .NET-enabled legacy software systems that have partly been componentized (rewritten), with

human resource data flow examples  and assign tasks for human interaction, and uses drag and drop processes to call Web services, enabling non-programmers to build their own scenarios that interoperate with the application. For example, processing sales orders typically involves multiple steps including numerous availability inquiries, reviews, and inventory release decisions, all serving to extend order lead times. Service Connect enables users to eliminate many of these steps by creating orchestrations for routing processes to

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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

Human Resources (HR)

Human Resources encompasses all the applications necessary for handling personnel-related tasks for corporate managers and individual employees.  Modules will include Personnel Management, Benefit Management, Payroll Management, Employee Self Service, Data Warehousing and Health & Safety.  

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Documents related to » human resource data flow examples

The Why of Data Collection


Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

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The Challenges of Integrating Enterprise Resource Planning and Manufacturing Execution Systems


While enterprise applications solutions are moving closer to the plant floor, and plant-level systems are moving closer to enterprise planning application functionality, these systems will not likely converge anytime soon, because they use different technologies and have different user requirements.

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How to Lower Your ERP Implementation Costs


Most companies are facing a number of pressures, thanks to a stormy economic climate. To help control costs and resources, many small to medium businesses (SMBs) are looking at implementing an enterprise resource planning (ERP) system. But you also need to control the costs and the time frame of your ERP implementation. Discover how partnering with a value-added reseller (VAR) can help you with your ERP selection process.

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Comparing the Total Cost of Ownership of Business Intelligence Solutions


For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions.

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Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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