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Social media arrived late to the financial services party, but it’s making up for lost time. In fact, the concept of social finance, networked investing and community researching is steadily turning the investment community upside down. Array Analytics has been an early champion of this trend. The company believes that platforms which effectively employ the “wisdom of crowds” can level the playing field for the individual investor, in support of improving decisions and investment returns….

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Computer key - personal with lock

Privacy policies have gotten a bad rap over the years, mainly because they actually serve one purpose in reality but are purported to exist for several other reasons for public relations purposes. At their core, privacy policies are designed to protect the organization coming up with the policy. They are to serve as a defense and as official notification of the types of information collection and sharing that happen in the ordinary course of business…

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lemon slice

In this final blog of a three-part blog series, we discover how demographics provides laser-like insight into LuluLemon’s success, and how DataSift Demographics can create new products and value from demographic and audience insights—while respecting privacy. How does the yoga-inspired athletic apparel company LuluLemon maintain its market position, while other brands have difficulty challenging them? It was a question posed to DataSift by a financial institution customer a while back—and they asked us to investigate….

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USA demographics 2

In this second of a three-part blog series, we look at how your business can use demographics to re-imagine the approach to market research and lend a fresh data-driven perspective to an existing customer knowledgebase. The celebrated rocket scientist Wernher von Braun once said, “Research is what I’m doing when I don’t know what I’m doing.” And given the increasingly complex nature of customer behavior, it’s becoming harder than ever for market researchers to know…

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USA demographic

In the first of a three-part blog series, we look at how demographics can be used to move from # mentions to valuable analytical insight. Whoever says Twitter is just for teenagers? In fact, the fastest-growing demographic on Twitter is the 55-64 year old age bracket. Facts like these are critical to know as you plan your next social media strategy. But how do you analyse and segment social conversations based on detailed audience demographics?…

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Disqus

Lots of really interesting conversations take place in the comments section on articles and blog posts – however the volume can sometimes be overwhelming and valuable comments can be hard to identify. To help you tap into the discussions taking place about topics that you care about in online comments, we’re excited to announce our new partnership with one of the most prominent and widely used discussion platforms in the world, Disqus. If you aren’t…

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Personal information form with confidential stamp

Internet privacy has become a topic of interest to all of us. Just recently, Google lost ground in its fight against Europe’s ‘right to be forgotten’ legislation, which gives Europeans the ability to hide their history on the Internet. More than 170,000 people have sent appeals to Google, hoping to prevent part of their personal history from showing up online. In the US, public awareness and perceptions are changing in the post-Snowden era, with Pew…

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VEDO FOCUS

Social data analytics will never be the same again. Today, we’ve launched VEDO FOCUS, a game-changing text classification engine that categorizes the entire real-time firehose of social media data into a taxonomy of half a million topics. FOCUS uses a corpus of more than one billion facts to categorize every single tweet, post, and blog into an ever-growing hierarchical taxonomy of more than 450,000 topics. It reads and understands natural language, unlocking the meaning within…

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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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