The way Big Data
provides complete insights; it has paved a way for itself to be embraced by
almost every industry in the world. As compared to yesteryears, companies and
businesses are now more capable of uncovering customer preferences.
It has also
helped marketing managers analyse the market trends along with many advantages.
Do you know all these have a direct impact on the better customer service and
business opportunities?
Although for
many industries the concept of Big Data isn’t a new one at presence, finding its
presence in sports is really a new one. One can learn the concepts of big data
analytics at Madrid Software Trainings,
though it has been there since a few years, the whole perspective got changed
by the movie and the book with the name ‘Moneyball’. It’s the first popular
utilization of statistics as well as data that changed the way personal
decisions were taken in the professional sports.
We can take an
example of the use of analytics in the Oakland Athletics baseball team, which
later made it a relevant thing in sports.
How Big Data
Analytics is a game changer in the world of Sports?
Gone are the
days when Big Data was considered nothing but a waste of storage space, thanks
to the expansion of technology in every sector that this vast amount of data
can now be analyzed via powerful computers and solutions for special purposes. Now
it’s possible to predict the success rate of a player based on his/her
performance and even foresee that player’s potential to shine as a rising star
in upcoming future.
This era is something where technology can be wear and
sensors can be integrated into any device that makes it possible for analysts
to collect data from a number of sources. The advance analytics at present lets
you see how ball curves through Lionel Messi’s free kick. Even you can see the
angle clearly at which the ball moves!
Wearable
technology is nothing like a mystery for known sports brands like Adidas or
Nike. They are into wearable technology that gives real-time stats including
heart rate, speed and even hydration level. Although major leagues have been
kept away from the use of wearable technology, still it can be used in training
sessions to better understand the fitness level of players in real time.
FIFA
by slightly altering its rule has allowed players to use such techniques, but
has warned not to use it during the game. This data can easily be compared to
historical data to check whether the player needs a substitute or not. This
technology has also helped manifold in cutting back injury rates in rugby and
American football.
The sporting
world is also being evolved by the on-field technologies and sensors that are
used to gather the data. A single swinging of a tennis racquet and the spin of
a baseball can help you collect millions of data.
The tactics that the
opponents are going to applied can easily be analysed with the help of Big Data
that in turn helps you predict the possible face offs between the teams. This
technique also helps you improve you improve your team’s performance by
checking out loopholes in the playing team.
Just like game,
coaching too has gained a lot of benefits from Big Data analytics. There are
big clubs like Portland Trail Blazers and Chelsea that use coaching apps to
help players understand the games and tactics best.
With this big data solution
one can easily review the previous game and predict what tactics would earn
brownie points in next match.
Big Data
Analytics is Revolutionising the Gaming World
In case you’re
looking for big data analytics training
institute in Delhi, I would say, enroll yourself today to harness the
potential this field has to offer. Gradually, big data is becoming an important
part of sporting clubs/ teams that literally means immense job opportunities.
Let’s talk about
an example in gaming world of Football. In 2014 Football World Cup, Germany won
the cup. How? Well, the answer is through big data analytics. As the team is of
world class players managed by an experienced coach, the role of analytics as
their secret man cannot be overlooked.
They partnered with the biggest name in
German software, SAP, to create a data
analytics tool for further insights in the game. They reviewed their rivals’
data, went through their performance and improved their game. They played
quicker game and stunned Brazil by 7-1 goals in the final match.
It’s just one example;
however there are many other sports like basketball, cricket, soccer, etc. in
which big data analytics is playing a bigger role than ever.
Although big
data analytics is being used as a weapon, but still there is a wide gap between
sports and big data analytics that’s retaining the excitement.