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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 resources data flow


How to Create a Business Case for Your Human Resources System
Getting CFO or CEO approval to purchase a new software system is often a challenge—but more so if that system is for human resources (HR), as HR is not

human resources data flow  Business Case for Your Human Resources System How to Create a Business Case for Your Human Resources System If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. All of our services focus on improving HR and Payroll processes. For small to mid-size companies, we offer Human Resource Outsourcing and Payroll Outsourcing. Source : People ROA Resources Related to How to Create a Business Case for Your Human Resources System : Business Case

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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

Core HR

Core human resources (HR) includes the HR system of record that combines HR transactions, processes, and data. Main capabilities also include payroll management, benefits management, workforce management, and training management.  

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Documents related to » human resources data flow

Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

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Pull vs Push: a Discussion of Lean, JIT, Flow, and Traditional MRP Part Two: Challenges and User Recommendations


While lean/flow leverages practices to stay ahead of actual demand, traditional approaches better coordinate secondary, back-office systems like accounting and HR. Moreover, flow should be a company-wide strategy that impacts more than manufacturing.

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Managing Transaction Tax Audit Risk: How to Protect Precious Cash Flow by Proactively Addressing Audits


Even in the best economic times, businesses must be vigilant against unnecessary costs and risks. But not just businesses need to be vigilant—states and other tax authorities are feeling the same economic pinch, and are ready to seek out non-compliers with tax reporting. Get tips on how to survive sales and use tax audits, starting with understanding your exposure to audits and how to avoid them right from the start.

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Enterprise Resources Planning (ERP) Market - Dismal 1999, the New Millennium to bring Relief (for Some)


The worsening plight of most ERP vendors, caused by the market slowdown, which started in the fourth quarter of 1998, continued in full force throughout 1999. The market size for 1999, with the 4th quarter yet to be reported, is estimated at $18.5B-$19.5B (12%-16% growth over 1998), with sales expected to top $55B-60B by 2003, for a CAGR of 28%-32%. ERP software suites will become universal business applications that will encompass front-office, business intelligence, and e-commerce/supply chain management, and ERP will no longer be the acronym sufficient enough to cover it, so we would like to suggest a new acronym - iERP, meaning Inter(

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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

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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 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 warehouse.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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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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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 environment. This article looks at issues in data quality and how they can be addressed.

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