Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusion, and supporting decision-making.
As suggested by Wikipedia*, data analysis consists in the process of transformation of raw data in information that are useful for decision-makers to answer specific questions.
Data may be collected from a huge variety of sources, both structured and unstructured. Big Data has become a buzzword: for example, in the last 2 years we have produced more data than all of human existence has in the years**. The ability to analyze and read these kinds of data while communicating relevant/personalized insights to every stakeholder has become a strategic skill for every business and industry.
When analytics meets mobile
Since a few years ago, the Mobile Revolution has forced users and corporations to focus on moments rather than on other dimensions more relevant for “desktops users”. Nowadays there is plenty of mobile apps and tools that let amateur and professional users to make data analysis:
- in real time;
- (often) with a low effort.
What about Your Mobile Revolution?
For sure, in a near future the mix of analytics and mobile will produce interesting outcomes within the Automotive and Motorsport industry. These sectors produce a great quantity of data to analyze, to optimize sport performance, One example? During a typical 2013 race weekend, about 25 GB of telemetry got collected in total. Every year, more than 20 TB of data are collected, stored, and analyzed***.
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* Wikipedia.com, Data Analysis
** venturebeat.com, Big Data and Mobile Analytics: Ready to Rule 2015
*** forbes.com, Data Analytics In Motorsport: The Sauber F1 Team Experience