Posts In Category

BI & Analytics

Big Data and analytics go hand-in-hand. New and improved tools allow vast data sets to be finessed, and previously unmanageable data structures to be tamed.

Sas Expand Their Range Of In-Memory Analytics For Hadoop
BI & AnalyticsData ScienceNews

Over the past two months, SAS have been staking their claim for in-memory analytics for Hadoop. They have been providing data scientists and analysts with fast, powerful new tools for advanced analytics. First, there was SAS In-Memory Statistics for Hadoop, allowing users to build, explore and model data, all within

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Netflix Creates House Of Cards With Big Data
BI & AnalyticsRetail & ConsumerTechnology & IT

In 2012, Americans watched more legally-delivered video content via the Internet than on physical formats such as DVDs. This shift in format also allows online content providers to gather large amounts of data on viewer habits. Recommendation engine Netflix is the de facto iTunes for online video content. It collects

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Cfar-M: Simplifying The Complexity Of Big Data
BI & AnalyticsData Science

Remi Mollicone is the Chairman of CFAR-m. CFAR-m is an original method of aggregation based on neural networks which can summarize with objectivity, the information contained in a large number of complex variables. CFAR-m solves the major problem of fixing the subjective importance of each variable in the aggregation (It avoids

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Using Small Data Approaches To Move To Big Data Analytics
BI & AnalyticsNews

In emerging markets that are not highly digitalized, small data has largely become the information backbone for data analytics. Paper-based data and social media reports on the field are the first step for companies active in markets in the developing world “Companies need analytics to cope with these new markets,

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Applying Big Data Analytics To Sports
BI & Analytics

Data is more than just power. It is supreme. At least, this is the message being put forward to executives today. Taking heed of this advice, organisations across all industry verticals are upgrading their data management systems, investing in new resources, and using their rich databases to streamline the practices

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Massive Analytic - Big Data, Decisions And Outcomes
BI & AnalyticsBig DataInterviews

We met up with the team of Massive Analytic at CeBit in Hannover. Massive Analytic was awarded an innovation grant by the U.K. government in March 2013. Massive Analytic were also a part of top 12 tech U.K. companies last year. Tell us a little about yourself and what you’re doing in

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Fedena - Changing How Schools Educate
BI & Analytics

From schools and universities to libraries and museums, public sector organizations are constantly battling with budget restrictions. The trade-off between offering better services with reducing costs is always a challenge, especially for those in the public sector. Indeed, considerations like this have played a crucial role in the emergence of Business

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Birst - Transforming The Bi Landscape
BI & AnalyticsInterviewsTopics

We caught up with the VP of Product Strategy at Birst, Southard Jones. Birst provides an enterprise-calibre Business Intelligence platform based on a cloud platform. Its approach is designed to be less costly and more agile than Legacy BI and more powerful than Data Discovery. Birst gives business teams the ability

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Gpredictive - Data Driven Decisions For Marketing &Amp; Sales
BI & AnalyticsIndustryInterviewsMarketing & SalesRetail & Consumer

We met up with founders of GPredictive. GPredictive ´s mission is to provide customers with solutions that make decisions based upon data as easy as possible. http://www.youtube.com/watch?v=7aqZX8kFBXU Who are you and what are you doing? We are G-Predictive, a big data start-up. We want to give access to everyone to the

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Precogs - Improving And Fortifying Supply Chain
BI & AnalyticsIndustrial Goods & ServicesInterviewsMachine Learning

We met up with Jean Louis Andorin, COO of Precogs recently. Jean Louis gave us a brief insight into Precogs. Precogs is a business analytics company offering visibility on the risk of adverse events in  the electronic manufacturing supply chain. Who are you?              

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