Founded in 2003, by Relax Soft

We at Relax Soft have young and experienced energetic professionals with positive approach and believe in providing the right solutions for Data Mining , which is based on mathematical algorithm, analytical skills, use of various IT tools for the goal of discovering useful information, informing conclusion and supporting decision-making. We are very transparent in our approach and dealings and adhere to a strict non disclosure approach with respect to the confidential data which we gain access to in the course of fulfilling our engagement.

Our Mission & Vision

As the businesses are becoming complex day by day, everyone can see the quantum of data being generated and recorded in higher volumes. Technology has added value to our personal as well as our commercial status, thereby increasing the recording of data at wider level.

The increasing capacity of hard disc drives in laptops and computers, from a mere 32 GB to 1 TB, showcases the need to store large volume of data as every year proceeds. In the last two decades, the world has witnessed a 100x increase in the volume of data being saved, which makes the procurement of useful data from this huge ocean of data a big challenge. Handling of this data is very complicated, but it becomes easier with many cloud-based servers providing the facility of storing valuable data in secured servers. The processing of bigger data is a huge challenge. However, if for some reason, the data is huge and cannot be pruned, Data Mining and Data Analysis can be used for the same. Despite it being a challenge, many applications are available, such as MS Excel. However each application has some limitation.

In case of BIG DATA, machine learning languages (R and Python) are mostly used for Artificial Intelligance and BIG DATA mining. Biggest advantage of machine learning is that processing time as compare to normal application drastically reduces hence increasing the durability of our system configuration.

In case of any data mining, our approach is such that the outcome is either helpful to management or the end user to arrive at any decision or to detect a fraud. In case of fraud detection, we categories it in two types, viz; Red Flag and Green Flag. Red Flag is raised for frauds identified through data trail where any abnormality in transaction flow is observed and respective Green Flag is identified through data trail where every trend is found in right direction. Data mining plays an important role in detection of frauds in various departments thereby strengthening the enterprises overall by helping plug all the loopholes. In short, data mining can be done with the combination of various files of any enterprises or relevant data files to make a usable file which provides understanding of various data and results in abnormal trend identification.