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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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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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Sharethrough is a new type of marketplace for brands and publishers, cutting through the endless streams of click-bait, blinking banners, and interruptive ads. In this compelling DataSift case study, you can learn how the world’s largest in-feed advertising exchange relies on the DataSift platform to reliably provide business critical social data. The Sharethrough software platform takes the interruption out of advertising and shines a light on content that is engaging. Brands and their agencies use…

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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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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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