Contexte

In today’s transforming and competitive world, companies strive to stay ahead of the market and make the best informed business decisions. Investing in the innovative technology has become a necessity.

Collecting and analyzing data in real-time help companies determine new market trends. By investing and implementing big data systems, they get new insights to build a more responsive and effective business, reach a higher level of performance and unlock new market opportunities while monitoring their risks.

Companies who are looking to capitalize on data science and set up successful big data strategies have 3 challenges to face:

1/ a technological challenge:  collecting and storing the data pool, dealing with the spread of vast amounts of information that is often very disorganized (IP addresses, fingerprinting, website logs, static web or warehouse data, social media, etc.).

2/ a scientific challenge: structuring and dissecting the data, uncovering knowledge from these data through different scientific tools like data visualization.

3/ an economic challenge: understanding and interpreting the data, taking advantage of them to gain insight and boost the competitivity to the next level. Data are becoming part of business level strategies: they help companies improving their decision-making processes, implementing predictive analysis on emerging markets and measuring risk before entering new segments.