Alpine Data Labs, the leader in Advanced Analytics Software on Big Data and Hadoop, announced today the introduction of Alpine Chorus, the industry’s first collaborative Advanced Analytics solution for Big Data. Attendees at the Strata Conference can view live demonstrations at booth #201 and attend Alpine’s showcase session on Wednesday featuring Sony, Aridhia and Havas Media.

Steven Hillion, the company’s Chief Product Officer, has also been invited to discuss the importance of team-based Data Science with executives from Intuit, Rackspace and the University of Chicago. You can stay-up-to-date with the Alpine schedule here and try Alpine’s new product for free here.

Collaboration mobilizes a company’s “Data Nation”
“If you observe the highest performing data science teams, you’ll notice that their best work happens when they get broader participation and harness the innovation that lives across their company,” explains Hillion. “Yet, accomplishing team-based data science has been challenging. Analytics applications have historically forced data scientists to work in solitary mode, in their code, on their desktop. With this new product, we are giving all ‘Data People’ the tools and processes they need to build a ‘Data Nation’ around them. This means engaging all relevant people in the process of Data Science — from executives to business analysts to data engineers, to partners.”

Companies around the world have flocked to this approach and are using Alpine’s software to break through the barriers that have traditionally made predictive analytics a hard discipline to adopt.

“The medical profession has been looking for decades for a way to collaborate across campuses and countries with more transparency and security,” explains Rodrigo Barnes, CTO at Aridhia, a health and biomedical informatics leader whose work focuses on speeding the translation of research findings to clinical practice, particularly in relation to chronic diseases. “With Chorus, researchers can build upon each other’s work and benefit from the data-cleaning and predictive modelling efforts others have put in before them. This collaborative process allows the entire community to save time and make insights available to doctors earlier.”

Aridhia’s recent application of the collaborative data science process highlights an increasingly urgent need to combat chronic disease, the shift to personalized medicine and the application of big data analytics to healthcare. Recent programs include diabetes management in the Middle East, and cancer informatics in the UK and Australia.

Making Data “Contagious”
“Alpine’s approach to Data Science is both sensible and innovative,” says Robin Bloor, co-founder of the Bloor Group. “They have made sophisticated math and machine learning approachable to more people and created a collaborative application that makes knowledge both secure and transparent. They might well become the SharePoint of data science.”

“We are delivering a modern and enterprise approach for everything data,” says Hillion. “With Alpine Chorus, teams finally have one place to explore all their data sources, work together on analytics development, and share insights with the rest of the organization effortlessly and securely.”

Alpine’s unique approach rests on a set of key technological breakthroughs:
• Alpine Chorus is a modern application which can be accessed securely via any browser. Business users can work with their data within minutes, visualize information via simple drag-and-drop and assemble teams by inviting colleagues to participate in their work. The application requires no download, is 100% code-free and is almost as easy as using Facebook.
• Alpine Chorus application layer is built for massive scalability. Alpine’s “In-Cluster” Analytics technology allows Business Analysts and Data Scientists to run sophisticated math directly on Hadoop Clusters. Without having to move data around, users are able to send instructions from Alpine Chorus to wherever their data is stored. Users need not worry about data sources because Alpine’s software works on structured and unstructured databases. Users focus on the math and Alpine does the rest — from translating instructions to the source data to representing results in an intuitive web interface.
• Alpine Chorus’ End-to-End approach allows users to work throughout the entire data pipeline process — from data transformation to modelling and analysis. Alpine Chorus also provides built-in search capabilities and users can “google” for all types of information from people, to datasets, to predictive models, to data projects.

Alpine Data Labs has been recognized as a Top 5 Big Data Company by Enterprise Magazine, a Top 10 Company to Watch in 2014 in Inside Analysis and a Top Big Data Company in Sand Hill Business.