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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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 data trending


Latest ERP Software Buyer’s Guide from Technology Evaluation Centers (TEC) Highlights Manufacturers’ ERP Technology Initiatives for 2015
Manufacturers have evolved their practices dramatically over the past few decades in order to adapt to aggressive global competition, and leveraging the latest

data trending  insight gained from big data to become more business savvy in the coming year.  About 1 in 3 manufacturers listed user experience as one of their least favorite aspects of an ERP system—something that ERP software providers have paid attention to and have taken great strides to improve. Over the past few years, leading ERP software providers have invested in differentiating themselves in the software marketplace with innovative and user-friendly interfaces, including more visualization tools and

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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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data trending

Deltek Remains the Master of Its Selected Few Domains Part Five: Deltek’s Major Product Lines


Within its marketing and proposal automation product, Deltek espouses an emerging CRM derivative known as client relationship management, which should help firms track client relationships in a more sophisticated manner than through methods such as referral or word-of-mouth, which were appropriate during their start-up phases.

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Does Supply Chain Management Software Make Sense in Wholesale Distribution? Part 3: Meeting the Objectives


Because the technology has become easier to implement, use, and maintain, many of the challenges to achieving the benefits that supply chain management software applications can provide have been removed.

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One-on-One with BPM Vendor K2’s Executives


TEC recently spoke with the top executives of business process management (BPM) vendor K2 to get an insider view of the company’s mission and vision for the future.

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Looking Ahead to 2013


TEC analysts speculate about developments to come in a variety of enterprise software spaces in the year ahead. (See also P.J. Jakovljevic's sneak peek at 2013 and Bob Eastman's look at what's in store for supply chain.) Josh Chalifour, Director of Knowledge Services, on enterprise information management: Across the enterprise software market, cloud-based delivery models are a vector of

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Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

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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 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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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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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: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

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