Big Data and Retail Banking

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This article is the second in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

insideBIGDATA Guide to In-Memory Computing

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In this new Guide to In-Memory Computing the goal is to provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.

Predictive Analytics Software and R

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There is a vast array of predictive analytics tools, but not all are created equal. Software differs widely in terms of capability and usability — not all solutions can address all types of advanced analytics needs. There are different classes of analytics users — some need to build statistical models, others just need to use them.

insideBIGDATA Guide to Big Data for Finance

Guide to Big Data Finance - Thumbnail

In this new Guide to Big Data for Finance the goal is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

How Statistical Science Can Advance Big Data Research Projects

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A recently released American Statistical Association (ASA) white paper recommends a multidisciplinary approach comprised of statisticians, mathematicians, data scientists and relevant domain scientists to tackle the challenges of the federal government’s Big Data Research and
Development Initiative and similar private-sector projects.

Classes of Predictive Analytics

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This article is the third in an editorial series that will review how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes..  It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, […]

Accenture Study Shows Satisfaction with Business Outcomes from Big Data

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Ninety-two percent of executives from companies that are applying big data to their businesses said they are satisfied with the results, according to new research by Accenture (NYSE: ACN).

Putting Hadoop to Work the Right Way

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A new paper sponsored by MapR “Putting Hadoop to Work the Right Way,” takes a deep dive into the intricacies of Hadoop, and recommends how to evaluate Hadoop’s platform offerings so you can meet your short-term goals and long-term architectural plans.

Business Uses of Predictive Analytics

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The need for predictive analytics in the enterprise is clear, as it can provide smarter analysis for better decision making, increased market competitiveness, a direct path in taking advantage of market opportunity and threats, a way to reduce uncertainty and manage risk, an approach to proactively plan and act, discovery of meaningful patterns, and the means to anticipate and react to emerging trends.

What is Big Data? 40+ Definitions

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The big data steam roller continues to move forward, but if you take a brief step back, how would you define “big data?” UC Berkeley’s new Master of Information and Data Science program decided to settle the question once and for all, and proceeded to ask 40+ thought leaders.