Developing a Universal Approach to Cleansing Customer and Product Data

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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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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

Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World

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In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business.  Read More

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