Best data analytics companies in India | | Data Management

Data Management

Data Analytics

Data Analytics is devised to inspect, clean, transform and shape data in order to obtain meaningful information and utilize it for future operations. It produces enormous quantities of knowledge which aids any critical business decision making for further production and development.

At Atreya, we utilize the best Data Analytics tools to help organizations harness the potential of their data to discover novel opportunities. We help you to identify the preferences of your customers, estimate and explore business capabilities, assess risks and bring productivity to operations by discovering patterns in data. Our strategies will provide leverage to stay ahead of your competitors. We bring IT, statistics, and market trends together to drive your enterprise towards success.

Power BI
Tableau
SQL
Advance Excel
Python
R

Our Work Flow

Define

The initial step is to establish an objective of the analytics process for any business. Data Analytics is a complex process hence finding the purpose will build a roadmap and consider the necessary metrics which will be tracked along the way. Identifying the sources of data to be collected can aid in settling the issue raised by the client.

Collect

Once the objective is in place, the next process is to gather and arrange suitable data. The nature of the data collected determines how extensively the analysis should proceed. Data assembly starts from primary sources which are obtained from CRM software, ERP systems, marketing augmentation tools, etc. Next is the secondary source which can be anything, ranging from social sites to review pages.

Clean

After the data is collected, it is refined to ensure that the quality remains good. By utilizing tools of data science and machine learning, errors such as duplicated data, anomalous data, and other inconsistencies in the gathered pool are identified and eliminated otherwise they may result in inaccuracies.

Analyze

The refined data is then subjected to the analysis process in order to extract meaningful information for computation and targeted purposes. There are several data analysis techniques such as descriptive, diagnostic, predictive, etc, but the approach that is required depends on the target that is intended to be achieved.

Report

Once analyzed, the results obtained must be generated and presented in a manner that would ensure clarity and easy understanding. Here, a business will gain actual insights from the raw, unstructured data which will have a significant impact on the course of its operations.