alteryx inspire 14

Last month we announced an exciting partnership with Alteryx. Together, we provide an intuitive way for the millions of analysts to blend social data with other data sources for advanced analytics that deliver deeper business insights.

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Informatica-World-14-logo

DataSift has just announced our integration with Informatica’s PowerExchange, enabling global organizations to bridge social and news data into the enterprise and merge it with proprietary data living in their MDM systems, creating a true 360-degree view of their businesses. What potential does this unlock for your company?

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As part of a new series, DataSift will be putting the spotlight on customers who are using social data in innovative ways to build applications, analyze audiences or achieve business objectives. Oriented to the needs of traditional media companies who are seeking to incorporate social media into their operations, Timeline Lab’s application empowers editors to discover, display and measure relevant social media interactions.

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To start things off, I’d like to introduce Sifting Around, a new series where I’ll demonstrate the analytics process I use when exploring a current event from a social data perspective. From writing a CSDL script to creating visualizations, I’ll give you the how and why behind each step and highlight different DataSift enrichments that I found particularly useful. Conclusions drawn here are entirely my own and are guaranteed by no one, nor is any…

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As much of the world quickly becomes more connected via Twitter and Facebook, it can be easy to forget about a whole other part of the world: China. 1.3 billion people in the fastest growing major economy in the world don’t use any social network that comes from the West.

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How many of us identify with this scenario? Your social marketing team is monitoring your brand, a handful of your competitors, and a few product and industry keywords. The goal: use this information to make informed decisions and take action. But how quickly are you able to get the resulting data to the product management team? Are you able to track long-term feedback? Route to the appropriate team based on product feature or component? Can…

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sina

Businesses looking to access the growing Chinese market have a new tool to help them as DataSift announces access to Sina Weibo, the dominant social network in China. With more than 500M registered users, 100M messages posted daily and recent expansion beyond China to Singapore and Indonesia, Sina Weibo and DataSift offer a unique opportunity for business to understand the preferences, demographics and interests of one of the largest consumer markets on the planet. The…

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ds

Today we are announcing VEDO – an extension of our core platform that brings programmable intelligence to the masses. Building upon our incredibly rich text pre-processing and parsing capabilities, we have added a whole new engine that allows customers to take advantage of advances in machine learning, statistical models, rich taxonomies and much more all through a simple and unified approach. As with the rest of our platform, we want to reduce the cost of developing this kind of functionality for our customers and let them focus on innovation and not on infrastructure.

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We needed better data, better processes for analyzing it, and an appreciation for the insights that could be found in the data. At DataSift these are the problems we’re aiming to solve. Since I took over management of the social media presence here I’ve had access to our platform and have seen first hand the possibilities that social data provides. I have a whole new appreciation for the power of data. Speaking with many of you at events like last month’s Social Data Week, I know you’re developing that appreciation too.

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Partner Ecosystem

Twitter’s forced brevity, the immediacy of its connections, and its impact as a breaking news source are all key elements that have been covered many times. But Twitter has also built a really important competitive advantage with its extensive partner ecosystem which has given the social network a reach and impact that goes far beyond what its monthly active user (MAU) numbers would indicate.

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