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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VoIP Introduction

VoIP uses internet protocol data packets to transfer voice, fax, and other data over the shared network, rather than the traditional public switched telephone network (PSTN), which is based on copper wires carrying analog voice data over the dedicated circuits. VoIP, in contrast to PSTN, uses what is called packet-switched telephony, whereby the voice information travels to its destination in individual network packets across the Internet that are assembled and then converted to voice. Learn the... Read More

Self Service Business Intelligence

Self service BI is technology that provides non-technical individuals who need data with the ability to gather and display meaningful information. The technical and business complexities of identifying data sources, transforming and integrating data sets, enhancing data quality, and providing a data repository are necessarily addressed before a self service BI application is made available. Read this white paper to learn more about how the technical framework and infrastructure for supporting self... Read More

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Big Data: Trends, Strategies, and SAP Technology

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Technology Adoption in Midsize Wholesale Distributors

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Simon Ellis, practice director of supply chain strategies at IDC Manufacturing Insights, responds to questions regarding the business processes of wholesale distributors and customer relationship management (CRM) tools, and discusses how new technology trends—cloud, mobility, social business, and big data—are affecting wholesale distributors. Read More
 
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