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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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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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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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In the last seven years, we’ve been having an incredible run at DataSift. Working with more than 1,000 customers in 40 countries and enjoying explosive growth. Since I founded the company, we’ve seen the team expand from humble beginnings in Reading, UK to a global operation with more than 120 employees spread across the US, Canada and the UK. DataSift is on a roll and poised to take an even bigger leap in 2015. With…

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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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Timely, accurate and cost-effective brand monitoring is a Holy Grail for any organization. But how do you find out about the conversations happening around your brand? Where the content is being shared? By how many users? Or who your audiences are? DataSift provides a powerful means of monitoring your brand: collecting, consuming and analyzing the social data you need to underpin your decision-making. In this Brand Monitoring use case scenario, we will assume your organization…

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With the Halloween fast approaching, we wanted to share with you the biggest differences between the world’s most famous Jason – from Friday the 13th and JSON, our best friend at DataSift. Once upon a time, there were a bunch of web services that wanted to exchange data with one another. The problem was, these services were all written by different groups of developers and they did not communicate with each other about how data…

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