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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 physical data flow


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

human resources physical data flow  other, such as finance, human resources or customer management. Now the systems are being linked, and companies are using data-mining techniques to get a complete picture of their operations— a single version of the truth , as the industry likes to call it. That allows firms to operate more efficiently, pick out trends and improve their forecasting. Consider Cablecom, a Swiss telecoms operator. It has reduced customer defections from one-fifth of subscribers a year to under 5% by crunching its numbers.

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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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Expanding the Enterprise: Breaking the Barriers to Collaborative Product Development


Product development has never been easy, but in today’s global market, the pressures facing industrial manufacturers are even greater. With more stakeholders involved in the product development process, collaboration and communication are key to competitive advantage. Your challenge: bring all the stakeholders in the same room—in real time. Discover how to succeed by increasing innovation and speeding time-to-market.

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Lean and World Class Manufacturing and the Information Technology Dilemma-The Loss of Corporate Consciousness


Companies relying on manual implementation and support for lean and world class methodologies risk losing corporate consciousness. Avoid the pitfalls of lost information and flexibility; place value on performance gaps and create matrixes of tools and applications to prioritize issues.

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Lawson Software-IPO and Several Acquisitions After Part Four: Strengths Continued


Lawson, contrary to many other players, seems to be compensating its narrow foothold with a strong vertical dimension. Lawson will continue to concentrate its internal sales efforts on its traditional vertical markets and to additionally rely on partners to address and develop for particular industry needs. Look for Lawson's opportunistic expansion into another service industry market and for its abstaining from manufacturing in the foreseeable future.

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Enterprise Applications--The Genesis and Future, Revisited Part Two: 1990s--Enterprise Resource Planning


Integrated enterprise resource planning (ERP) software solutions became synonymous with competitive advantage, particularly throughout the 1990's. Customers were demanding to have their products delivered when, where, and how they wanted them. Companies were therefore compelled to develop and embrace the philosophies of just in time (JIT) and closer supplier partnerships as a way to remain competitive.

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Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

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