Data are present in absolutely every economic field. Companies generate and store huge volumes of data – data about every transaction, about every production step, etc. Until recently, the data only used to be stored, or rather put aside without any other use. Analytical methods over big data reveal hidden connections and behavioural patterns, which are valuable sources for qualified decisions, growth and increasing effectiveness and quality.
Companies today often try to determine how to differ from their competitors, understand their customer needs better, or predict the market behaviour. The answer can be found in the data already available in the company. For example, retail industry, pharmacy, utilities, telecommunications, banks and the insurance industry have been pioneers in the area of using big data.
Of course, within analysing such big data you can work with structured data from company systems such as ERP or CRM. However, these systems represent just a very small part of the overall information that the company can utilise to its benefit. Other data – non-structured and unused – are accumulated on e-mail servers and in voice record archives from call centres. Moreover, important information about customer feelings and attitudes can be found outside the company, in Internet discussion forums and social networks.. Through utilisation and advanced analysis of all such sources, companies can reveal non-trivial connections and regularities, and if they understand them and use them, they can make qualified decisions and get ahead of their competitors.
In the big data field, KOMIX offers extensive experience and technologies for the processing of structured and non-structured data. We work with commercial tools if their functionality brings additional value to the customer, while open source tools are employed whenever effectiveness and a quick return of the investment in the project is assumed. Our knowledge and competence covers all layers of working with big data – data management, analytical tools, visualisation tools and provision of analytical services. An example of the technology we use for big data projects is the HP Vertica Analytics Platform.