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Total Revenue | Newspaper online advertising | Report | EVOLITA. Nexus friend grapher is no more. Magic Quadrant for Business Intelligence and Analytics Platforms. Analyst(s): Rita L. Sallam, Bill Hostmann, Kurt Schlegel, Joao Tapadinhas, Josh Parenteau, Thomas W. Oestreich Figure 1. Magic Quadrant for Business Intelligence and Analytics Platforms Source: Gartner (February 2015) Overview of Magic Quadrant Positioning The vendors' positions in this Magic Quadrant reflect the current market transition. The year 2014 has been another year of challenging execution for the market share leaders in the BI and analytics market, juxtaposed against strong execution by the data discovery vendors that are satisfying customers, meeting their buying requirements and delivering greater business value.

The current BI and analytics market situation looks similar to the mainframe/workstation market in the late 1980s, which had a complete shift in requirements and buyers. While data discovery platforms predominantly complement IT-centric systems-of-record deployments, they are being used for much of the new analytics project investments. Vendor Strengths and Cautions. Open Data Platform. VC 100: The Top Investors in Early-Stage Startups. Welcome to the Entrepreneur VC 100 list of top early-stage venture capital firms -- a platform highlighting the who’s who of the U.S. startup ecosystem.

The ranking is based on data from PitchBook, a Seattle-based data and tech provider for the global private equity and venture capital markets. The firms are listed by total capital invested in seed and/or early-stage deals completed in the U.S. during 2014. While the ranking is focused on traditional VC firms, it also includes corporate VCs, mutual funds and other entities, as new players increasingly enter the VC game. PitchBook’s research process for VC 100 also tracks each firm’s investment activity. You can check out which industries and regions these investors focus on as well as their top early-stage investments of 2014.

To view the full VC 100 scrollable infographic list, click here. VC 100: U.S. venture capital firms ranked based on capital invested in U.S. early-stage deals in 2014 (in USD millions*). Regions: United States Fire1. FAQ - BirdSong. This is a short list of our most frequently asked questions. For more information about BirdSong you can learn about us here, or if you have a specific question use the contact box at the bottom of every page. How much does it cost? BirdSong provides clear pricing for each report. You can see our current prices here. You pay only for the reports you request. There are no monthly fees. What Payment methods do you accept? Our payments are handled by Stripe. VisaMastercardAmerican Express Do I need to own or manage the account to analyse it? No. Do you provide growth charts for each account? No. Do you store reports for me? No. Is there a limit to the size of Twitter account you can handle?

We have no limit on account size. How many followers will I get from my export? You will get 100% of the followers from your chosen account. Data Science of the Facebook World—Stephen Wolfram Blog. More than a million people have now used our Wolfram|Alpha Personal Analytics for Facebook. And as part of our latest update, in addition to collecting some anonymized statistics, we launched a Data Donor program that allows people to contribute detailed data to us for research purposes. A few weeks ago we decided to start analyzing all this data.

And I have to say that if nothing else it’s been a terrific example of the power of Mathematica and the Wolfram Language for doing data science. (It’ll also be good fodder for the Data Science course I’m starting to create.) We’d always planned to use the data we collect to enhance our Personal Analytics system. But I couldn’t resist also trying to do some basic science with it. I’ve always been interested in people and the trajectories of their lives. So what does the data look like? So a first quantitative question to ask is: How big are these networks usually? But how typical are our users? So, OK. But what friends do they add? OK. But, OK. About Gnip. Hedonometer. FAQ - MetaMind. Next at Microsoft - LUMINOSO. Surveys. Social. Customer Service. You've got the data. Now what? Explore answers, not questions. Map the entirety of your brand conversation – internally and externally. Don’t come to the table with a hypothesis.

Act on facts, not preconceptions. Just because you're not hearing it doesn't mean they’re not saying it. Luminoso listens to and grasps the whole conversation around your brand and gives you instant access through our insightful, intuitive dashboard. Amazon Paperwhite 1 star review themes Amazon Paperwhite 5 star review themes. Social media more complex than great literature - Idibon. The Washington Post recently published an article about online/offline reading differences. Are our reading abilities changing? “They cannot read ‘Middlemarch.’ They cannot read William James or Henry James,” Wolf said. “I can’t tell you how many people have written to me about this phenomenon.

The students no longer will or are perhaps incapable of dealing with the convoluted syntax and construction of George Eliot and Henry James.” So this post tries to answer the question: Is social media harder or easier to read than Henry James and George Eliot? Now to refresh your memory, here’s the opening of George Eliot’s Middlemarch: I mean, just yesterday. A dirty secret of computational linguistics is similar to the WaPo article: “syntax is dead”. But that doesn’t mean there isn’t a lot of insight to gain from thinking syntactically. Of course students today have difficulty with Henry James. Watt’s essay is famous in literature circles because it is such a careful textual analysis.

And tweets?