Cause Analytics
The UK's independent Business Intelligence service dedicated to mid-market organisations that want t Apply business intelligence to transform your results.
Asking, "What could cause you to change your mind?", is a simple way to reduce your odds of becoming a victim of strategic surprise in 2016.
19/10/2014
Salesforce to unleash Wave - The Analytics Cloud
For all of you who were wondering if Salesforce was going to be left out of the "big data boom", Marc Benioff, a Salesforce co-founder and the company’s chief executive, has been tweeting about Wave. Here's more details from NYTimes (excerpt):
Wave is intended to create sales, service and marketing analytics, either in packaged or custom forms, which can be read on desktop and mobile devices. It is meant to stress the data within Salesforce products, but it is also possible to import third-party information from companies like Microsoft, SAP and Informatica, as well as machine-generated data. . .
Right now, Tableau is one of the few notable companies making it easier to visualize data. Given the millions of customers using Salesforce, in other words, it is the kind of thing that could attract independent software developers to build products on it. . .
"It’s been quite a while since we announced a new market this big,” Mr. Dayon [Alex Dayon, the president of products at Salesforce] said. “Analytics is a $42 billion industry, and people need a new cloud-based platform for it.”
Posted by Dan Durrant with David Pidsley
Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.
www.CauseAnalytics.com
http://click-to-read-mo.re/p/a8Dp/51da26c0
Salesforce Makes Its Big Data Move - NYTimes.com Salesforce.com will not be left out of the big data boom, and it's hitting it in a way that suits its mainstream customers, with less overt math and lots more pretty pictures. The product's official name is Wave, the Analytics Cloud, and Salesforce is introducing it at the start of Dreamforce, ...
09/10/2014
Defining
Excerpt:
May 2012 danah boyd and Kate Crawford publish “Critical Questions for Big Data” in Information, Communications, and Society. They define big data as “a cultural, technological, and scholarly phenomenon that rests on the interplay of: (1) Technology: maximizing computation power and algorithmic accuracy to gather, analyze, link, and compare large data sets. (2) Analysis: drawing on large data sets to identify patterns in order to make economic, social, technical, and legal claims. (3) Mythology: the widespread belief that large data sets offer a higher form of intelligence and knowledge that can generate insights that were previously impossible, with the aura of truth, objectivity, and accuracy.”
http://www.tandfonline.com/doi/abs/10.1080/1369118X.2012.678878
Posted by Dan Durrant
Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.
www.CauseAnalytics.com
http://click-to-read-mo.re/p/9SM2/51da26c0
A Very Short History Of Big Data The story of how data became big starts many years before the current buzz around big data. Already seventy years ago we encounter the first attempts to quantify the growth rate in the volume of data or what has popularly been known as the “information explosion” (a term first used in 1941, [...]
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