SAN FRANCISCO, CA (PRWEB) January 22, 2016
Today Tag.bio, a new data analytics software company created by a computational biologist from UCSF and an engineer from Honda Racing, announced its beta launch. The site, http://beta.tag.bio, will offer an online analytics platform and hub for news, insights and analytics resources.
Tag.bio enables anyone to quickly and easily gain insights from big data. All you need is a data source, the Tag.bio platform, and domain knowledge to find insights previously available only to highly skilled data scientists. It’s the first company to deliver both insights and visualization in one platform by coupling powerful analytics with organic intelligence – i.e., humans.
It could be a cancer researcher looking at genomics data, or an NFL trainer reading player health and on-field data, or a fantasy football player deciding whether to select Peyton Manning or Cam Newton – the only requisites are a good data set and subject matter expertise.
With Tag.bio anyone can perform sophisticated analyses on large datasets, visualize the results, and share them with anyone.
“Our site allows you to connect data in either public or private instances,” said cofounder, data scientist and chief architect Jesse Paquette, who previously worked at big data startup Ayasdi. “Using existing or custom protocols, ask any question you want of a data set. Our dataset hypervisor will perform sophisticated cohort analyses to find patterns in metadata. Build a report. Keep it private, share it with friends or coworkers, or publish to the world. Tag.bio is not providing artificial intelligence. Instead, we couple powerful analytics with human intelligence. Our software runs calculations and shows patterns that provide domain experts with actionable insights.”
“Unlocking the power of large data sets is no longer the exclusive domain of data scientists,” said Tom Covington, Tag.bio cofounder and CEO. “With human intelligence back in the equation, data analytics has the power to deliver true value and transform businesses. With Tag.bio, we’re delivering a new, user-friendly resource to help companies drive value from the billions of dollars already spent collecting and storing business data, while making it accessible enough that individuals with no background in data science can find insights. Our first public datasets are from sports, specifically the NFL and MLB. The data is great, and it allows anyone to try our platform and find insights about their favorite teams and players, ideally while thinking about the amazing things we could do for their business.”
Tag.bio is a data analytics spinout from UCSF, leveraging techniques developed by one of our founders for genomics and cancer research. We combine sophisticated statistical analysis methods with the organic intelligence of our users to quickly find insights in any dataset. For more information, please visit http://tag.bio.
In the near future Tag.bio will offer a software development kit (SDK) and a template system for building data analytics modules (protocols). Tag.bio will also promote the best protocols developed by its developer community through its news feed, regular reports and weekly insights. For more information visit the Tag.bio developer page: http://tag.bio/#developer_resources.
Tag.bio is hiring: visit our careers page http://tag.bio/careers/
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