Data Management

Data needs to be high quality and well-governed before it can be reliably analyzed. With data constantly flowing in and out of an organization, it’s important to establish repeatable processes to build and maintain standards for data quality. Once data is reliable, organizations should establish a master data management program that gets the entire enterprise on the same page.

Data Mining

Dataraphic uses data mining technology to helps our clients examine large amounts of data to discover patterns in the data. We provide further analysis to create information which gives answer complex on business questions. With data mining software, we can sift through all the chaotic and repetitive noise in data, pinpoint what’s relevant, use that information to assess likely outcomes, and then accelerate the pace of making informed decisions.

Big Data Analytics

The use of Big Data is becoming a crucial way for leading companies to increase their target by operating at the right way.  The real-time and high-frequency nature of the data is also important. We develop services which make smart use of Big Data possible and make predictions of long term and daily people behavior. Our services are based on analysis of current situation and already developed platforms for management of big data, existing architecture, and infrastructure.


We are using this open source software framework for storing large amounts of data and run applications on clusters of commodity hardware. It has become a key technology for Dataraphic to doing business due to the constant increase of data volumes and varieties, and its distributed computing model processes big data fast. An additional benefit is that Hadoop’s open source framework is free and uses commodity hardware to store large quantities of data.

Cloud based systems and IOT

Storage and usage of big amounts of information. Based on this our goal is to integrate information systems and modelling tools that gives support to smart living. We develop SMART IOT applications
including matchmaking algorithms that suggest services to users.