Mistake

With Human Data comes human fallibility, but awareness is first step to mitigating our error prone nature. In this piece, we will take a look at the most common mistakes we humans make when it comes to collecting, analyzing, and drawing conclusions on Human Data. 1. Mistaking correlation with causality. You might remember your college statistics 101 or 102 professor letting you know that just because something—let’s call it thing A—is related to or shows…

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Social media

It’s a fact. Social media produces huge volumes of data that can be used to detect a trending topic or brand sentiment. There are countless of agencies and application development houses that build successful businesses on social media monitoring. But beyond social media monitoring lies a semi-unchartered land of security and threat detection, fraud, supply chain and human capital management and more. The land of opportunity for those who know how to handle unstructured data….

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Fabric logo

Big Data brings big things to marketing. It is a journey every company must take to close the gap between the data that’s available to them, and the business insights they’re deriving from that data. Get it right and the rewards are right there: capture, win and retain more customers—and deliver above market growth. Many CMOs, however, are still getting it wrong. Recent research from the CMO Survey (Q1, 2014) shows that 70% of CMOs…

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Paper guy

Data data everywhere. That was the theme of the Tuesday evening as DataSift and W2O Group hosted an event in Palo Alto entitled: What the Future Holds – The Impact of Data on Marketing Trends in 2015 and Beyond. The evening was punctuated by a panel discussion lead by Jeremiah Owyang the founder of Crowd Companies and anchored by guests LaSandra Brill from Symantec, Becky Brown of Intel, Aaron Strout of W20 and finally yours…

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Two.42

The name has people scratching their heads, but Two.42.solutions is fast-becoming a leader in media monitoring, with a little bit of help from DataSift. Let’s deal with that company name first. Mohammad Hamid, chief technology officer of two.42.solutions, explains its origins. “When we formed the company we performed a number of experiments to identify the appropriate monitoring methodology. Some 67% of the experiments had outliers—and the value of those outliers 67% of the time was…

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i am a caption

In the second of a two-part blog series, we look in depth at how Tumblr data captured by Nexalogy and DataSift social media platforms can inform drug makers as they seek to understand and support users. In the last blog, we discovered how the blend of the Nexalogy social data analysis platform and the DataSift social data platform is being used to yield Tumblr insight and reveal patient perspectives of mental health medication. It’s time…

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Mental health 1

In a two-part blog series, we explore how data mined from Tumblr using Nexalogy and DataSift can provide valuable insight into an audience that has traditionally been very difficult to reach. Mental health. It’s tricky for doctors to treat, for patients to live with and for the makers of medication to address. The nature of mental illness also makes it difficult to gain insight into patients’ experiences on a human rather than a clinical level….

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i am a caption

Are you a data packrat? Does your business keep and receive an enormous amount of data? If so, do you just stuff it somewhere and hope to figure out what to do with it some day? 70% of the battle with Big Data is making it manageable so that it can then be meaningful to you. Business insight and valuable intelligence remain buried on disks and tapes unless you have a way to making access…

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i am a caption

I was recently discussing a Big Data initiative with a British financial services organization. They had made significant investments in their infrastructure and now wanted ‘to fill up’ their Big Data lake. The DataSift platform is a Big Data platform that processes over 2.1bn unique items of unstructured human-generated data every day. The interesting way the client phrased their objective made me think about ways to measure volume when working with social and news data….

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how_to_2

Your marketing campaign is about to launch and you need to track the response. Not just on Twitter or Facebook but across all the networks, all languages, and the long-form content such as blogs and discussion boards. You know that DataSift aggregates all these sources so you can write one simple filter. You know we have one simple API to hit for the filtered interactions, but where’s your developer gone? The last time you did…

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