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“Big Data” in the Age of Mass Customization and Product Proliferation

Published On: October 9 2012
Many organizations struggle to make sense of their big data owing partly to product proliferation. Traditional analytics and data management tools simply do not provide visibility into the sheer number of product variants and options available as well as customer buying trends. See how Emcien’s pattern-based analytics enables analysis of customer buying patterns so that companies can improve the customer experience and increase profits.


Featured publications:

Addressing the “Big Data” Issue: What You Need to Know
Source: Skillsoft There is no doubt that big data, i.e., organization-wide data that’s being managed in a centralized repository, can yield valuable discoveries that will result in improved products and performance—if properly analyzed. Nonetheless, you must look before you leap. This white paper shows you what you need to know about big data, including the challenges big data presents, must-have practices to successfully manage a company’s big data, as well as the metrics to measure the ROI. Read More...
Analyzing Big Data: The Path to Competitive Advantage
Source: Ziff Davis Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product reviews, video, blogs, tweets, and more. But the biggest current challenge may be to articulate a compelling business case for using big data. Find out how companies in various industries are finding value in the data they have already collected and making it actionable. Read More...
The Skillsoft Impact Analysis: The Fast Track to Gaining Powerful Insights into the Strengths and Opportunities of Your Elearning Investment
Source: Skillsoft In this age of big data, decision makers on all levels are clamoring for business-driven data regarding the effectiveness of human capital investments. Hard quantifiable evidence, like business impact or ROI, can be complex and seem out of reach in the face of rapid change and constrained L&D resources. This paper introduces a simplified process and toolkit, and shares some of the key findings uncovered since its inception. Read More...


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6 Reasons Big Data Requires Rethinking Your Middleware
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Challenges of the Future: The Rebirth of Small Independent Retail in America
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Big Data Comes of Age: Shifting to a Real-time Data Platform
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