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The following white paper explores the importance of data visualization in deciphering growing big data volumes. Learn why spreadsheets and other conventional data display methods cause so many problems, how visualization offers a solution, technology recommendations, and more.
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This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
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Learn what leading companies do differently to outperform their peers. From strategy decisions to investment in information technology and performance measurement systems, MPI’s latest research explains how your company can realize tangible returns though greater flexibility and improved delivery performance.
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The following Harvard Business Review report explores the current state of data visualisation. Hear from many leading authors on how to leverage data visualisation, and the right times to use it.
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Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
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How can cloud computing help companies in the new world of big data? This expert handbook looks at some possible answers to this question.
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This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
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Fuel cells are becoming a very efficient and clean source of electrical energy for the future. Fuel cells boast many advantages when compared with conventional energy sources of today.
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Access this white paper to learn the benefits of advanced data mining, including a greater return on investment. It offers practical guidance for incorporating additional data types and sources, expanding the scope of data mining projects and deploying results more effectively throughout your organization.
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In this paper, learn how retailers are using predictive analytics to uncover patterns in the products purchased together to differentiate assortment, merchandise stores and develop combined product offers to drive sales and profits.
