Analytics is the area where the other three areas (social, mobile and cloud) meet. The analysis of the enormous amount of data generated by mobile devices, shared via community solutions and stored in the cloud, and the subsequent feedback of the results represents the crowning of cooperation between these areas. The information that can be obtained from these data gives us a far more comprehensive understanding of the way the world actually works, and consequently, we can adopt considerably more relevant decisions. However, increased user numbers and activity did not only result in data volume growth. In terms of nature and variety, third platform data differ from the data that can be forced into the relational databases (tables) of traditional corporate systems. Moreover, the velocity of their generation and use is also higher. All this means that the traditional data analysis tools (e.g. data warehouses) are of limited application. The “Big Data” technologies, so often mentioned nowadays, are aimed at managing these expectations. In addition to technical considerations, there is another factor that increasingly demands attention: this is the fact that the expertise these new technologies require differs from the previously required knowledge. Considering the infrastructure, in order to design, install and run linearly scalable and financially sustainable software and hardware infrastructure, appropriate technical competences are needed. Fortunately, companies can lease this expertise as part of the service from the cloud. However, at the levels built on this in the solution-stack, the situation is not so simple. When it comes to data organisation and management, novel modelling and data management abilities, suitable for the creation of databases required for the analyses, are wanted. The utilisation of the analyses and information requires a different kind of analytical and decision-modelling capabilities in order to reveal the relationships and patterns between data. And finally, for the cooperation with the decision-makers of business areas the accurate knowledge of business terms and correlations is indispensable. An expert who has the combination of these abilities has the words “data scientist” written on his or her business card. They are said to be the most sought-for experts in the labour market.   
 
Thanks to its predecessors, T-Systems Hungary has nearly two decades of experience in business intelligence and data mining, and our activities and solutions in corporate data analysis and information provision had a predominant role in shaping the Hungarian market. Data is a value, and the market successes of a company are determined fundamentally by the way it manages the data available for it.