By 2019, Big Data will account for over half the analytics market. And signs of this change can be seen now. According to the figures from a survey that we carried out for Gfi Informatique, the White Paper on which is to be previewed at the Big Data Paris meetup on Monday, businesses have moved beyond the ‘proof of concept’ stage. For example, over half of them have built or are in the process of creating a ‘data lake’ style exploration environment. The critical importance of data for business is clear. Now it’s a matter of valorizing such data to the full for operational projects (turnover growth, cost reduction, etc.), but also, and above all, for a strategic project: successful digital transformation.
Data is the lever used to attain this goal: thanks to new storage means and algorithmic processing, data analysis can be put to many new uses, be it client data, product data, data from machines, etc. The most common uses include honing commercial proposals, optimizing activity and creating new services. All these are fields that transform the way in which the company acts on a daily basis. Our study shows that two-thirds of transformation projects basically rely on data.
Hadoop and machine learning introduced at the Ministry of the Economy and Finance
For the Ministry of the Economy and Finance, for instance, which was kind enough to contribute to this White Paper, the passage to Big Data was essential in order to continue its mission to fight against money laundering and even increase efficiency given the digitalization of the economy – while keeping its costs under control. The ministry explains that Hadoop and machine learning are essential weapons in the fight against imaginative fraudsters.
Although the Big Data Paris meetup proves a success every year, Big Data in itself does not attract crowds of people. Rather, Big Data is becoming an essential component in the technological arsenal of companies aiming to adapt or even convert successfully to the digital economy. Nevertheless, although these companies are now convinced, they still lack benchmarks for practical implementation. And this is reflected in our figures in an annual average growth rate of over 36% for offers of Big Data services. ESNs able to lead their clients along this path thanks to their understanding of the capacities of data science, their knowledge of the ecosystem and their technological expertise will be in the best position – not only to benefit from this Big Data market, but also to assist their clients throughout their digital transformation program.