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DMP Analytics

Our team built a Big Data processing tool that allows the analytical team of a large corporation to load, process, and save big amounts of data to receive the most accurate and extended reports for worldwide brands. The platform uses AWS cloud solutions to increase data protection and decrease resources on physical servers at the same time.
Big Data tool mockup

Big Data Processing for Advanced Analytics

This analytical tool made for the corporate use of a large corporation simplifies the data management process for the entire analytics department. Using our SDK, analysts don’t need to be experts in programming because they can load, process, and save data simply by writing the type of request and indicating the path to the required database. The system includes microservice architecture, Big Data processing, business intelligence, and cloud solutions, the combination of which makes the process of getting advanced statistical data simple, fast, and safe.
Big Data tool mockup 1

Advantages for Business

Our client provides analytical services for worldwide brands like Coca-Cola and they needed a solution that would optimize analytical processes within the company and increase data safety. As a result of our work, the company no longer needs to seek and hire analysts with programming skills. The system allows providing accurate and extended reports faster; thus, increases the client satisfaction rate. In addition, the implementation of cloud solutions reduces the budget for our client because they don’t need to spend resources on physical server maintenance.

х2 Client Satisfaction Increase

Our software solution enhanced the quality and speed of the reports creation and boosted the client satisfaction and retention rate.

Big Data Processing + Cloud Solutions

The capability of the platform allows to load, process, and save to data to the required database within minutes.

Highly Beneficial for 3 Industries

Retail, Fintech, Entertainment.

Technical Implementation

To meet the client’s needs, we created an SDK that allows loading data as CSV and other types of files from sources like AWS bucket, FTP server, MySQL, mSQL, etc., process them, and upload them to the same or another database. All data is processed using Python but the system also supports processing data with the R programming language. The platform’s architecture is microservice-based to ensure data safety and fast data processing. The system optimizes the work of the entire analytical team because analytical specialists require only superficial knowledge of programming on Python or R to load, process, and save statistical data. With our solution, analysts can perform the mentioned actions towards different databases by writing only three lines of code.
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According to Statista, the global Big Data and business analytics market is forecast to grow to $274.3B by 2022, with a five-year CAGR of 13.2%. Become a business giant with Big Data and BI!

Why You Need a Similar Solution

Every enterprise needs a solution for their analytic needs. Outsourcing statistical needs for other companies is financially efficient, but when it comes to data privacy, this maybe not the best choice. By having a similar Big Data processing solution you’ll be able to fully satisfy your analytical needs if you have a large enterprise and get instant access to your statistical data. Startups can benefit from a similar platform by offering it as a SaaS to companies.
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Technologies used:
Python
Docker
ReactJS
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