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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 hr data model


Is Your Current HR Service Delivery Model Working for You?
This white paper examines the human resources (HR) service delivery challenges facing organizations today, outlines a common approach to delivering world-class

hr data model  approach to delivering world-class HR service, and details the technology necessary to transform workforce service delivery. By downloading this document, you agree to provide contact information and other data to select sponsors of this content.

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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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Top 5 Trends in HR Technology


Recession or not, innovation in HR technology continues to grow—altering the way people work. While there are many new solutions available, here are a few that we’ll be seeing more of in the year ahead.

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TEC's Talent Management Research Model-What End Users Need to Know


Over the past few months, analysts at Technology Evaluation Centers (TEC) have been working on a new research space for talent management. I’m happy to announce that the Talent Management research space for talent management systems is now online and available to the public. Talent Management: What’s In It? TEC’s new Talent Management research space is geared toward end users looking for

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Conference Note: 2014 HR Technology Conference Takes On HCM Big Data


This year’s HR Technology Conference was all about leveraging big data for improving HR practices, such as talent acquisition and employee retention. TEC HCM analyst Raluca Druta was there to capture all the details. Read her take on the conference’s major sessions—the welcome and opening keynotes, the ADP Workforce Vitality Report, the Sierra-Cedar 17th Annual Survey, the vendor presentations, and more.

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Workday Tackles Big Data in the Cloud


At the recently held Workday Rising 2012 conference, Workday unveiled big data analytics for its users in human resources (HR) and financial departments. Workday plans to deliver big data capabilities (with no hardware required) to map and process external data sources and streams. One of Workday's design principles was to provide embedded contextual (relationship-aware) and fast in

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Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

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Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Energy Innovator Implements a New Business Model with mySAP


Capstone Turbine Corporation, an energy innovator, needed to implement management, business model, and strategy changes. It also needed to improve product reliability, modularize configurations, and provide visibility. By using SAP products, such as SAP BI, SAP EP, and SAP Best Practices, it realized performance measures for key business activities, and improved sales and inventory management.

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