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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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 competitive data template


How to Leverage the Talent Supply Chain for Competitive Advantage
The professional services industry depends almost exclusively on human resources. Talent is your most important (and expensive) asset, and it differentiates

competitive data template  service lines and provide competitive differentiation. Add to this mix the ongoing challenge of effectively deploying talent when staffing managers have limited visibility into the sales pipeline, and it's no wonder that resource planning is often misguided and staffing disorganized. In many organizations, rudimentary or manual systems support talent, resource, and demand management processes, so even if a provider excels in one area, the overall planning process remains disjointed and activities siloed.

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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 PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology  

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Documents related to » competitive data template

Project Costing for Maximum Profitability


By implementing timekeeping solutions for costing, organizations obtain valuable insight into project profitability. Project-oriented timekeeping data is also used to bid on future projects, stay within budgeted costs, allocate appropriate resources, and track projects already under way. These solutions deliver more than just attendance tracking systems. They provide tools for understanding the impact of time and resources on project profitability.

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Strategies for Profitable Growth: Chemical Industry


You may have survived the slowdown of the last few years, but you must still find new growth opportunities to stay competitive. However, you can only cut so much. Midsize businesses in particular need to ask new questions: What strategies and practices are right for the company? And what are the best solutions for facilitating—and even improving them?

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UltiPro Is Now TEC certified


Ultimate Software's human resources (HR) solution UltiPro is now TEC Certified. Learn about the product's main differentiators in the market, and more.

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Top 10 Risks to a Configuration Project and How to Avoid Them


Companies producing and selling complex and configured products can achieve a major competitive edge by successfully implementing product configurator software as a core element of a configurability strategy. This can provide a greater range of product variations, using fewer resources. Learn more about how you can gain the intended benefits from implementing a configurability strategy with product configurator software.

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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 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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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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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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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 extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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