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Lancet Data Sciences Reimagines "Information Super Highway"

Companies mentioned in this article: Lancet Data Sciences

MINNEAPOLIS, May 29, 2014 /PRNewswire/ -- Minneapolis-based Lancet Data Sciences believes in putting its data collection and analysis skills through their paces. To continue road testing their offerings for clients, the company sets off this month to crew the world's most challenging endurance bicycle race - collecting, analyzing and reporting data along the way.

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Lancet President and founder Tom Niccum will act as crew chief for Team Bob McEnaney, as Bob takes on Race Across America (RAAM) 2014 - a 3,000 mile timed endurance race across the continental USA, starting on June 10(th), 2014 (www.raceacrossamerica.org). Along with several other team members, Tom will manage critical roadside support services including food, hydration, medical service coordination - as well as the collation of data on athletic performance and the many environmental variables throughout the 12-DAY bike race. Lancet consultants will be supporting Tom remotely from their MN offices, integrating data and updating dashboards along the way. (www.lancetdatasciences.com/race-across-america-raam)

"This really is a new take on that old phrase information super highway," says Niccum. "It's twelve days of the most intense physical bike riding anywhere in the world and a really unmatched opportunity for our analysis team to stretch our data muscles in a new and explorative way all along the route. Bob will ride every day on just a few hours of sleep, and all along the way we'll be tracking his performance data against weather, terrain and other factors to help him adjust daily race strategy and complete the event by the mandatory deadline."

The Lancet team plans to track their athlete's performance data against a wide variety of other variables from rest stops to nutritional intake, times of day and night, terrain and other environmental factors. Data will be presented for fans of cycling and data analysis as a business intelligence dashboard, a specialty of the firm's visualization capability that helps users gain an instant snapshot or detailed overview of a business situation by presenting a wide variety of compelling data points in a highly visual manner.

"More and more of our clients are using are data visualization dashboards in their daily business endeavors," adds Niccum. "Tracking our RAAM data is just a fun way to show our clients and partners how capturing quality data and analyzing and presenting it in a meaningful, accessible way can give real insights to correct business strategy or fine tune operations at any point along the road ahead."

For more information on Lancet Data Sciences, visit http://www.lancetdatasciences.com or www.raceacrossamerica.org.

About Lancet
Focused on Business Intelligence (BI) since 1997, the specialists at Lancet help IT professionals and business leaders with strategic leadership, hands-on project implementation and professional services across the entire lifecycle of the BI program. Solve your most complex challenges using the experience and knowledge of the Lancet team to provide options and deliver solutions.

About the Race Across America (RAAM)
The Race Across America, known as the "world's toughest bicycle race", will set over 200 competitors on a 3,000-mile route stretching from Oceanside, California to Annapolis, Maryland. Athletes race continuously day and night, on their own power or share the challenge with a team, and a crew of 8 - 15 people following in support vehicles with food and supplies for the race. These courageous adventurers brave heat, wind, thunderstorms, altitude, the dark of night, fatigue and sleep deprivation, cross several major mountain ranges and raise over one million dollars for charity. For more information and race updates, see http://www.raceacrossamerica.org. For information about fundraising please see www.igg.me/at/RAAM or visit our FB page at www.Facebook.com/Ride.For.A.Reason.Charities.

Contact:
Carol Schuler
612 281 7030
Schuler Publicity
carol@cschuler.com

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SOURCE Lancet Data Sciences