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Introducing Sociocast Connect™ & Sociocast Signal™ v2.2
The focus of this release is to launch the Sociocast Connect platform, which dynamically processes and transforms client data in a private environment. v2.2 also offers enhanced accuracy and breadth of its Sociocast Signal product, which extracts key information from URLs across proprietary web sets.
Sociocast Connect – New Additions
- Product Overview: Sociocast Connect transforms clients’ structured and unstructured data into actionable outputs by deploying user-level profiling, dynamic audience clustering, and real-time look-alike modeling. Sociocast clients can now create highly-accurate data models from 1st and 3rd party data sources. All data output can intergrate directly into client’s decision engines. In addition, the platform contains high-throughput architecture that can process over 2 million time-ordered data transactions per minute.
- Real-Time Analytics: v2.2 provides predictive analytics for high volume, time-ordered data sets. In addition, v2.2 provides real-time campaign analytics, which identify contextual attributes that serve as the basis of a brand or advertiser’s “signature”.
- Private Cloud: Sociocast Connect operates a multi-tenant architecture that isolates clients’ data to provide increased security. The platform also includes cutting-edge security features that prevent data leakage and commingled data sets.
- Integration: v2.2 supports dynamic sFTP batch data transfers. In addition, Sociocast Connect integrates with 3rd-party platforms including DMPs, SSPs, and DSPs.
Sociocast Signal – New Additions
- Mobile Detection Services: Sociocast’s Data Scientists have significantly improved the platform’s ability to extract signal from raw, mobile data sets. This includes processing mobile and app logs with greater speed and accuracy, as well as increased coverage of mobile sites for classification.
- Coverage & Granularity: v2.2 contains an improved Sociocast classification taxonomy. Several categories have been redesigned to make Sociocast Signal classifications more logical (i.e. the “Sports” category). In addition, thousands of Home and Garden, Apparel, Fitness, and Parenting brands have been added to the classification taxonomy. For instance, the Home and Garden category now includes 5,000+ brands covering appliances, decor, flooring, kitchen, lighting, plumbing, and more. Examples include Maytag, Haier, Magic Chef, Martha Stewart, Hampton Bay, Norpole, InSinkErator, Bluestone Appliance, LG Electronics, GE Electronics, Rheem EcoSense, Ariston, Moen, Pfister, and Bali Today.
These notes discuss new additions covered in Sociocast Connect & Signal v2.2. Clients currently using the platform will automatically be upgraded to v2.2. All data delivery protocols remain unchanged.
Please let us know if you have any questions or guidance, we’d love to hear your feedback.
Share by emailBig Data’s manifesto: don’t be afraid
Today Andrew Burst wrote a post entitled “Why is Big Data Revolutionary?” within in he described Big Data’s manifesto: don’t be afraid
The following is directly lifted from the post:
Big Data is unmistakably revolutionary. For the first time in the technology world, we’re thinking about how to collect more data and analyze it, instead of how to reduce data and archive what’s left. We’re no longer intimidated by data volumes; now we seek out extra data to help us gain even further insight into our businesses, our governments, and our society.
The advent of distributed processing over clusters of commodity servers and disks is a big part of what’s driving this, but so too is the low and falling price of storage. While the technology, and indeed the need, to collect, process and analyze Big Data, has been with us for quite some time, doing so hasn’t been efficient or economical until recently. And therein lies the revolution: everything we always wanted to know about our data but were afraid to ask. Now we don’t have to be afraid.
If your organization is ready to take the leap and understand what value can be unlocked by the volumes of data stored and exponentially growing by the hour, minute, second – give us a call – our adaptive Big Data platforms and expertise will help you conquer your fears.
Share by emailPeople 2012 Saba Global Summit
Albert Azout, CEO of Sociocast, spoke at the ‘People 2012 Saba Global Summit’ at the Loews Miami Beach Hotel in Miami, Florida. This is an annual summit hosted by Saba which focuses on the latest trends in collaboration and workforce transformation. Some of the top executives from around the world attended the event. Albert participated on the ‘Entrepreneurship and Innovation’ panel which was moderated by Bobby Yazdani, Founder and CEO, Saba.
Albert giving his presentation at Saba.
Sociocast Signal v2.0.1 Released
These notes discuss new additions covered in Sociocast Signal v2.0.1. Clients currently using the platform will automatically be upgraded to v2.0.1. All data delivery protocols remain unchanged.
Sociocast Signal v2.0.1 – New Additions
The main focus of this release is to improve the accuracy, breadth, and depth of our classification platform. In addition, we’ve built new tools to help clients mine their proprietary data sets more easily.
This release includes the following additions:
- Improved Classification Accuracy: System enhancements include (a) improved page parsing for cleaner content detection, (b) new statistical-based analysis for stricter classification, and (c) comprehensive quality checks. File-delivery for clients will not be impacted as changes to existing file output formats and delivery methods have not been made. However, clients will immediately see improved and more granular classification at the URL level.
- Expanded Taxonomy Categories: v2.0.1 contains an expanded Sociocast classification taxonomy. This includes 1,000+ distinct Consumer Packaged Goods (CPG) brands, which encompass 90% of the SKUs found in local stores and supermarkets. Other expanded categories include Automotive, Consumer Electronics, Travel, Financial Services, and Home & Garden.
- Augmented User Data: v2.0.1 inter-operates with Sociocast Connect to create comprehensive User Profiles for clients who include unique user IDs (UUIDs) in their raw log streams. This is done using similarity-based techniques that increase the amount of data on users. In addition, Sociocast Connect allows for segmentation based on category or client-directed key-value pairing.
We’ve also added 5 taxonomists and a PhD Data Scientist to our roster. Their effort has resulted in hundreds of new nodes being added to our robust taxonomy daily, and expanded data coverage across all categories.
Please let us know if you have any questions or guidance, we’d love to hear your feedback.
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Sociocast speaks at Stylecaster’s ‘State of Style’ Summit
On Tuesday (2/7/12) CEO of Sociocast Albert Azout will be speaking at Stylecaster’s inaugural ‘State of Style Summit’. Stylecaster has joined forces with Ford Motor Company and 92nd Street Y for the summit. The summit will be bringing together some of the industry’s top leaders to consider the highly evolving landscape of fashion, marketing, and new media. The focus will be on the relationship between style and fashion, consumer purchase behavior, and trends in the digital age.
Market-Driven Style
What is the role of the marketer and media buyer in today’s fashion landscape? How has Big Data technology paved the way for succinct, target- marketing and brand-building through digital media?
Moderator: David Neal, Empirica Research
Darren Herman, Chief Digital Media Officer of MediaKitchen
Albert Azout, CEO and Founder of Sociocast
The State of Style summit is being hosted at 92Y’s location in Tribeca. For Tickets click here. If you are in the area drop by. It will be a great event to start off NYC’s fashion week.
Share by emailAlbert Azout, CEO of Sociocast, participates in DVP Leadership Summit
The 1st annual Detroit Venture Partners (DVP) Leadership Summit summit was held on this past week (1/30 & 1/31) in Detroit. Albert Azout participated in the panel entitled, ‘Battle Scars, Challenges, and Death Traps’. The Panel consisted of Verdi Ergun, Chairman, OWN, Bobby Ghoshal, CEO, FLUD and Dan Ward, co-founder, Detroit Labs. Check out some Pictures from the Summit.
Quicken Loans Entrance
Albert Azout, David Goldberg (Stylecaster), Dan Gilbert (Founder QuickenLoans), Ari Goldberg (Stylecaster)
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Big Data & Analytics Roundtable
Plugged In Ventures hosted a Big Data Roundtable this morning (1/31/12). Giri Iyengar (CTO of Sociocast) spoke on the panel. Coffee flowed as freely as the knowledge from the informative speakers. Giri was amongst other panelists like Co-founder of Voyurl, Adam Leibsohn, Collective’s Jeremy Stanley, SVP and a Data Scientist and CEO of Lotame, Andy Monfried, The conversation focused around the Ad Agency and marketing space. Here are few things that were said:
1) Advertisers will be more likely to experiment with what works and what does not as cost of processing data decreases.
2) Ad Agencies will start to push out traditional marketers for more data scientist and data analytical skills.
3) The power of analytics will stay in small to medium sized companies while larger companies will have to learn to work with them.
Giri Iyengar seated at the Big Data Analytics Roundtable
Sociocast Hits the Slopes to fight Breast Cancer
Over the weekend Sociocast sponsored a team in the Tubbs Romp to Stomp event in Stratton Vermont, part of the Susan G. Komen race for the cure foundation. Team ‘Defying Gravity’ walked 3 miles with their snow shoes in the heart of winter in order to raise awareness and money for the cause. We are really proud and happy to be able to sponsor such a great team. Check out some pictures from the weekend.
Team 'Defying Gravity' on the March! From left to Right - BR, Sandy Derio, Beth Cohen, Stacey Notrica, Sally Hoffman, Paula Morvay, FR, Pauline Seremetis, Stacey Pearl, Sharon Ferraro, Amy Echelman
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Is Big Data a Dead End… or Are You Just Missing the Point?
Alan Mitchell from Ctrl-Shift News recently wrote an interesting article entitled ‘Big Data, Big Dead End’. His view on Big Data is quite bleak and if anything thinks its only perpetuating an already flawed system. While we obviously have a very different view of Big Data we would like to point out a simple, but quite an important error in one Alan’s ‘facts’. He says ‘There are more connections between the neurons in the brain of the average Joe than there are atoms in the universe’. What he meant to say is ‘there are more POTENTIAL connections between the neurons in the brain of the average Joe then there are atoms in the universe.’ Without the word potential the above statement is logically incorrect.
We would also like to point out that just like some of the informational needs can only be satisfied by Very Small Data, as Mitchell showcases, there are many more informational needs that can only be satisfied by Big Data. In our world view, both Very Small Data and Big Data play together nicely, and it is not the case of one versus the other as he seems to be suggesting.
Big Data for a Small World
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