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2017 North American Big Data and Analytics
Customer Value Leadership Award
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Self-Service Data preparation Market Supply
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Big Data is in Big Trouble, Starting in the EU
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The Core Concepts of an Enterprise Self-Service Data Strategy
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IDC Innovator Award
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UNIFI Software Outlines Catalog-Based Approach to Data Integration
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A Detailed Privacy Blueprint
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Get more Business Value from a Data Lake via Data-as-a-Service
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451 Research Impact Report
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Only Unifi delivers a complete Self-Service Data Platform

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The Other Guys

-Limited or no native connectors requires IT to manually connect to data sources
-Unstructured or semi-structured data requires custom ETL typically performed by IT


-All others require exact location of data to begin analysis, which means more work for IT


-You’d better be a power user with some programming knowledge or have IT on speed dial


-Competitors not only lack automation, their interfaces often require an understanding of the underlying software architecture – which means a steep learning curve
-In some cases they require programming experience


-Limited join capabilities mean a return to traditional ETL and a call to IT
-Some require external processing on proprietary hardware and then results pushed down to Hadoop for visualization
-Limits on the size of the data set
-Transform latency slows visualization


-Other providers interface to just one or two visualization tools – or maybe none at all