DataSift will be integrating with TrendSpottr to provide customers with the ability to deride early and predictive insights from their real-time curated data streams
TrendSpottr is a real-time data analytics and business intelligence service that identifies and predicts trends from Twitter, Facebook and other real-time data streams. It works by improving the signal-to-noise ratio by identifying the most timely, relevant and trending information from a firehose of streaming content.
Through DataSift, TrendSpottr users will receive trending issues as real-time enriched data with added augmentations (including social influence scoring and geo-location amongst others) that can be analyzed for deep demographic and commercial insight.
“DataSift offers one of the most robust and advanced data curation platforms for social media data sources. By integrating with the DataSift platform, TrendSpottr will be offering DataSift customers access to relevant real-time trends from their curated data streams. This real-time intelligence will provide DataSift customers with early and predictive insights about major trending events, social behaviors, customer preferences and impending crises.” – Mark Zohar, Founder and CEO of TrendSpottr
“DataSift is pleased to integrate TrendSpottr into the DataSift platform to offer our customers real-time predictive coverage of trending issues on 100 percent Twitter feed and other sources…..DataSift and TrendSpottr’s partnership will give trend hunters deep insight into the issues driving specific trends.”
- Nick Halstead, Founder and CEO of DataSift
The full Press Release can be found here.
Real-time Challenge
The value of big data such as social media decays rapidly with time. Companies that are able to draw insights from their data and act fast and correctly in response, can realize valuable strategic advantages over their competitors.
“Learning that a web campaign from last week created negative sentiment in viewers is useful, but being able to alter corporate communication in real-time is what makes the difference. And this is exactly what the partnership between DataSift and HStreaming allows. Companies can realize the full value of social media by overlaying the data with other data sources, such as sales data, marketing data or web logs, to look in real-time for insights in the form of patterns or outliers. Once a pattern is identified, companies can programmatically react, such as issuing email notifications, alerts, and requests to web-based services.” explains Jana Uhlig, CEO of HStreaming.
DataSift excels at giving easy and comprehensive access to social media with data enrichment, such as sentiment analysis, Klout scoring, and language identifiers. HStreaming enables the running of advanced analytics in real-time to create live dashboards, identify and recognize patterns within one data stream or across multiple data streams, and trigger action based on predefined rules or heuristics. HStreaming can handle even the most challenging data volumes and complex analytical problems leveraging the scalability of Hadoop and MapReduce.
The partnership between DataSift and HStreaming allows users to:
Draw insights quickly
HStreaming query language allows writing advanced analytics queries fast and efficiently against any structured or unstructured data feeds.
Display real time dashboards
Rich built-in web-based tools enable users to quickly visualize complex data to get fast insights through real time dashboards.
Identify and recognize patterns
Leverage HStreaming’s scalable analytics platform to look over one stream or combine social media streams with other data such as sales data, marketing data, or web logs to identify and recognize interesting patterns.
Trigger actions
Built-in connectors enable analytics jobs to automatically trigger actions such as email notifications, alerts, and send requests to web-based services.
The full Press Release can be found here.
DataSift, a provider of aggregated real-time social data feeds, has entered into a partnership with Endeca that will allow organizations to react to the “big data firehose” of social data. Organizations are demanding a way to understand how their customers react to them and their competitors in social media. To do that, they must aggregate external content in real-time, and then search and analyze it in relation to their own internal content.
Endeca Latitude gives business analysts an easy-to-use interface to discover, analyze, and visualize that content in relation to the structured, unstructured, and semi-structured sources found inside the enterprise; while giving IT a way to rapidly add new content and visualizations. These combined technologies give businesses the most powerful and cost-effective platform to mine the business value in the torrent of new social data. Through research with customers and prospects who had pursued the use of first generation generic social media solutions, it was found that there was a lack of integration available between internal and external business’ critical data, therefore restricting their view of the customer.
Legacy relational technologies have failed to manage Big Data like social media, which is why new approaches are needed. Relational technologies require businesses to model data in advance of analyzing it, but the variety, velocity, and volatility of social media precludes this. Endeca Latitude is ideally suited to consume this type of data, without going through the painful and expensive process of creating and modeling complex relational models, that will require constant change.
The full Press Release can be found here.
We are very pleased to announced today in partnership with Datameer a new product DataSift Insights. DataSift is extremely powerful at extracting content and augmenting that content in real-time, what it cannot do is perform any kind of analysis on that data. Datameer has a platform that brings the power of Hadoop to every user through the use of a spreadsheet like interface which then in turn generates a pipeline of map-reduce tasks.
We have spent the last year working on building out a significant Hadoop storage solution in which we can store customers streams and also record many of our real-time partner feeds including the whole Twitter Firehose. We currently have over 400Tb of storage available for our customers to record data and for us to store the Twitter Firehose. So far that Hadoop cluster has purely been for storage. Now via the power of Datameer we can perform massive computational tasks on those datasets for our customers.
What inspired me the most about the Datameer platform was how the editor works. Given that a typical dataset for DataSift can be in the 100′s of millions of rows, it would of course be unwieldy to work on that volume of data. What Datameer have revolutionised is that they take a small but statistically relevant part of that data and allow you via a spreadsheet style interface to manipulate the data and simulate the results completely in real-time. The spreadsheet supports all the usual functionality like grouping, sorting, filtering, inner joins, outer joins. In total they have over 180 different functions.
Lastly Datameer also has a suite of visualisations built into a dashboard that with a couple of clicks allows you to take results of the map-reduce tasks and quickly visualise them into a whole host of charts.
DataSift, has entered into partnership with the media monitoring application developer, Moreover Technologies.
Nick Halstead, Founder and CEO of DataSift commented:
“By partnering with Moreover, DataSift adds to its network of analytics partners an established specialist in news aggregation, analytics and research insight. Through DataSift’s platform, Moreover’s applications will now have access to 100 percent of the real-time Twitter feed and other social media sources, as well as benefiting from our enriched data and range of augmentations. Moreover has taken a leadership position in partnering with an innovative start-up and we look forward to developing our joint product offering for the enterprise market to include real-time social services.”
DataSift, the real-time data filtering platform and licensed re-syndicator of Twitter, has entered into partnership with the media monitoring application developer, Moreover Technologies. This agreement sees another respected specialist seek to enhance their services by incorporating the enriched data and augmentation options on offer through the DataSift platform.
Moreover Technologies’ award winning platform Newsdesk will now offer their services on top of the DataSift platform, allowing DataSift customers to benefit from receiving DataSift data through the comprehensive news aggregation services of Newsdesk’s unified news and media portal. Moreover Technologies will also provide DataSift’s services to press clipping agencies and media monitoring firms for their own analytical services.
President of Moreover Technologies, Paul Farrell said about the partnership with DataSift, “This further strengthens our extensive news and social media monitoring platform, providing ever-stronger unified portal access to opinion-forming media conversations, and giving companies the ability to get truly synthesized information about what is impacting their brand and reputation. We are leveraging DataSift’s semantic analysis and data enrichment options and layering this with our own categorization processes to improve access to actionable intelligence, making it even easier for customers to analyze and organize information for detailed insights in one concise view.”
Further information is available at the Strata Summit from the 19th until the 23rd of September 2011 in New York City, where DataSift and Moreover will both be attendees and will be demonstrating the enhancements to both parties services through this partnership.
The full Press Release can be found here.
We are pleased to announce our sponsorship of the upcoming O’Reilly Strata Summit & Conference, in New York from September 20th to 23rd 2011. If you are going to be attending then please come by the stand, meet members of the team who will be happy to discuss any questions you have about the platform, business benefits and of course introduce you to our partners.
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