Data Driven Avanade Issue 3 | Page 11

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COMPETITION!
TO WIN AN EXCLUSIVE LOTUS F1 TEAM
GOODIE BAG COMPLETE WITH TEAM
HAT, EARPLUGS, MOLESKIN NOTEBOOK
AND LANYARD, CLICK THROUGH TO
TO ANSWER THE QUESTION BELOW.
CLOSING DATE: 30TH NOVEMBER 2013

–  he second step is to realize not
T
all data is good data. Companies
need to provide tools and data
management processes that
enable staff to effectively filter
data for relevance. Companies
must identify what filters to apply,
how to categorize the data and
then, establish processes so
that data can be processed and
analyzed as quickly as possible.
–  eveloping smart infrastructure
D
and processes that gets the right
information to the right people
is also critical. Avanade made
several improvements to Lotus
F1 Team’s trackside software
to get engineers the data they
need even faster. For instance,
Avanade created a more efficient
way to reprocess post-event data
to improve track performance.
With these improvements, Lotus

F1 Team has seen a 75 percent
reduction in processing time,
which is a seismic shift in the
team’s ability to analyze data
quickly.
–  inally, companies have to
F
empower their employees to act
on the insights that they unlock.
For Lotus F1 Team, this means
ensuring the team’s engineers
are able to apply post-event
information quickly to further
optimize the car’s performance.
This last step is the most important
lesson from Avanade’s big data
research – the companies that
are giving people across their
organizations the power to use
data to drive decision-making are
benefiting the most from big data.
And, for Lotus F1 Team, that is a
winning formula.

“UP TO HOW MANY
MEGABYTES OF DATA
DOES A FORMULA ONE
CAR GENERATE FROM
ITS 200 PLUS SENSORS
EVERY SINGLE LAP?”

WIN
A LOTUS F1 TEAM

GOODIE BAG!
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