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Software Functionality Revealed in Detail
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 peoplesoft data migration


PeopleSoft, Lawson To Resell Integration Tools
Two ERP vendors recently signed agreements to resell integration software from Enterprise Applications Integration vendors.

peoplesoft data migration  centers throughout North America. PeopleSoft will also resell the NEON product directly to customers for data conversion and ongoing data interfacing from PeopleSoft to other in-house applications. Lawson Software is reselling TSI Software's Mercator integration tools to provide XML integration for its collaborative e-Business applications. Market Impact Tools for Enterprise Application Integration (EAI) are becoming more important as companies continue to replace large mainframe systems with smaller,

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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

Linux and Open Source IT Services (Excel Format) RFI/RFP Template

OS and Application Services, Support Services, Consulting, Implementatation, and Reselling, Migration and Version Maintenance Services, Customization Services, Development Services, Security Services, License Support and Applicability, Training and Community Participation, High-Level Market Characteristics 

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Documents related to » peoplesoft data migration

PeopleSoft on Client/Server and Database Issues


To address questions for a TEC customer, we interviewed PeopleSoft's Michael Daniels. The conversation covered issues in the areas of client/server architecture and database management as they relate to the PeopleSoft Enterprise Resource Planning suite of products.

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PeopleSoft - Catching Its Second Wind From The Internet Part 2: Strengths and Challenges


PeopleSoft invested two years and over a half billion dollars to develop new Internet-based enterprise applications. It now has a pure Internet platform a new set of products and a new assertive attitude. This part examines the strengths and challenges PeopleSoft now faces in today’s cutthroat competitive environment.

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PeopleSoft Keeps Truckin’ On A Potholed Road Ahead


In spite of the impression that currently PeopleSoft can do nothing wrong, many users of the older versions of its products might be bracing themselves for a less than smooth product upgrade ride.

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PeopleSoft Revamps World for Its Mid-Market "Express" Conquest Part Two: Market Impact


The major factors of success in business applications for the mid-market segment have traditionally been--flexible pricing, packaging and deployment options; speed of implementation; vertical focus; interconnectivity to other applications and legacy systems; product scalability and scope expandability; Internet and wireless device accessibility; low cost business-to-business (B2B) electronic connectivity; and a single point of contact possibly with a local consulting and implementation support. PeopleSoft seems to have captured (or at least tackled) most of these.

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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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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The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

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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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