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The Fastest Way to Measure What Matters: The No-Data-Warehouse Approach to Advanced, Real-Time Analytics
Until now, analyzing large volumes of complex business data spanning ERP, cloud applications, and other business systems required the construction of a costly, time- consuming data warehouse. And the only way to normalize the data from these multiple sources, understand their relationships, and perform analytics at scale was via a star schema or cube. But not anymore.
Matthew Halliday – Chief Evangelist & Head of Product
Equal parts engineer and enterprise salesman, Matthew earned his stripes at both Oracle and Microsoft in roles ranging from product development to sales. Matthew began his career as a software engineer at Oracle where he would spend 15 years in numerous roles including that of Applications Architect. Matthew talks about analytics like many people talk about their favorite sports team, and his twenty years of client-facing experience is critical to Incorta’s customers’ success.
Utilizing the industry’s first Direct Data Mapping engine, Incorta delivers unprecedented join performance and makes it simple to relate data across enterprise applications and other business sources. You get real-time aggregation of large, multi-faceted business data and the ability to deliver “speed of thought” insights against your most complex relational data. Best of all, Incorta makes expensive and time-consuming data warehouses, ETL, and specialized databases completely obsolete.
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