Customer Case Studies of Self-Service Big Data Analytics

Karen Hsu, Senior Director of Product Marketing
In the new world of big data, analysts are challenged to ask questions that were never possible before. Self-service tools empowers business users to rapidly gather, analyze and visualize data from board, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free-up your IT staff so they no longer have the need to response to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities.

In this session you will learn:
-Customer examples and return on investment from self-service big data analytics
-How business analysts can take advantage of Machine Learning
-Best practices in self-service big data analytics
Feb 19 2014
44 mins
Customer Case Studies of Self-Service Big Data Analytics
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  • Customer Case Studies of Self-Service Big Data Analytics Recorded: Feb 19 2014 44 mins
    In the new world of big data, analysts are challenged to ask questions that were never possible before. Self-service tools empowers business users to rapidly gather, analyze and visualize data from board, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free-up your IT staff so they no longer have the need to response to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities.

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    -Customer examples and return on investment from self-service big data analytics
    -How business analysts can take advantage of Machine Learning
    -Best practices in self-service big data analytics
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Datameer Big Data Analytics on Hadoop
Datameer's Hadoop-based Big Data Analytics solution makes it easy for business users to discover insights in any data, regardless of its structure, size or source. With wizard-based data integration, schema-free analytics, automated machine learning and sophisticated data visualization, Datameer is fully extensible and easily integrates into existing data infrastructures. Datameer scales from a laptop to thousands of nodes and is available for all major Hadoop distributions including Apache, Cloudera, EMC, Hortonworks, IBM, MapR, and Amazon.

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  • Presented by: Karen Hsu, Senior Director of Product Marketing
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