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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If you’ve read my previous blogs, you’ll know that our platform allows you to filter vast amounts of real-time data. You end up with all the interactions you’re interested in – but how do you get those interactions from our platform to your app or analytics tool? There are three ways: 1. Stream them from our platform in real time 2. Have our platform send them to a destination of your choice 3. Pull them…

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Big Data

Humans are social creatures. That might even be truer when we go online. Consider the following recent (beginning portion of 2014) statistics about the most popular social network and blog platforms and their memberships: Twitter has 560 million registered users, and over half of them are active, and at least as of a couple of years ago, there were 200 million tweets sent every single day. WordPress powers 20% of the top global sites and…

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tll)

When Timeline Labs (TLL) detected a tweet from a local TV station in Texas reporting a shooting incident at Fort Hood, the company provided this alert to its national news partners—beating AP and CNN by 23 minutes and Reuters by 34 minutes. Find out in this absorbing case study how TLL uses DataSift to monitor everything that’s relevant to a news organization. TLL provides the world’s top media companies and brands with tools that discover trending…

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ms-files

When we talk about Big Data, we’re not talking about a few petabytes of structured data which has been captured, tamed and sits caged in a database waiting to be queried. We work with Big Data in the wild. Untamed, unpredictable and unbelievably big. We have close to 30 data sources hurling vast quantities of unstructured data into our platform. Then we use 10 augmentations to add more metadata to every interaction. Then, as if…

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ms-files

How does a 300 percent uplift in ad click through rates sound? That’s exactly what Qualia (formerly known as LocalResponse) is achieving for one of its clients using Twitter data enriched by DataSift. This case study explores how Qualia is using DataSift to access and filter through the full Twitter firehose to ingest only the data they need. Imagine Tweeting ‘Just went for a run’, and then seeing a Nike banner ad on your desktop…

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In our latest of use case posts, we will look at two brands – Home Depot and Lowes – and compare their share of voice. Does one brand have more social presence than the other? Does one brand outperform the other in terms of volume or hashtag and mention usage? How do they compare geographically? Here’s a simple, end-to-end scenario for collecting, consuming and analyzing DataSift data to discover your share of voice. Let’s find…

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In an article titled “Watch how word of Ebola exploded in America” Time.com last week published data showing how 10.5 million tweets referenced Ebola between September 16 and October 6. Predictably there has been a massive surge in the conversation since the first Ebola diagnosis inside the USA on September 30. The article features a graph from @twitterReverb which captures this surge brilliantly, but also highlights some of the limitations of relying solely on traditional…

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app

If you’re not a programmer or wouldn’t know one end of an API from the other, then you need a simple graphical interface for writing filters and getting results. Our platform filters vast amounts of human data from dozens of sources in real-time so writing filters could be a complex programming task. However, Query Builder represents all the sources and augmentations graphically, allowing complex filters to be constructed with a few mouse clicks. To find…

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During the past decade, few business buzzwords/terms have had as much success as ‘Big Data’. It’s graced the covers of business magazines, been the central topic of an endless number of conferences, and helped countless tech folks explain to their families what they do for a living. In this blog post I’d like to propose a new way at looking at ‘Big Data’ given the changing nature of data in organizations that addresses an inherent…

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