Data Processing System
By INTechHouse
Client
ProNatura
Services
Project Description
About the client: We were working with ProNatura, a Polish waste disposal company with headquartered in Bydgoszcz. The company is engaged in the installation of thermal devices for the processing of household income. Business challenge: Publication of the waste collection schedule in two information channels: web and print. The challenge in this project was an inconsistent source of data partly manually edited, that had to be automatically fixed by software. Our solution: Our main solution was to create a specific software using AWS cloud with a large number of functions that correct the imported data. In addition, the function of correcting individual dates in the calendar has been made available. Information about the schedule for individual addresses in the city is available both via the website and the module of wholesale cooperation with the printing house. Technologies: AWS cloud services, SPA, Python, React, DynamoDB Value added: We built corrective algorithms that can put all necessary data without errors. In addition, the number optimization of printed schedules resulted in a reduction in printing costs.
About the client: We were working with ProNatura, a Polish waste disposal company with headquartered in Bydgoszcz. The company is engaged in the installation of thermal devices for the processing of household income. Business challenge: Publication of the waste collection schedule in two information channels: web and print. The challenge in this project was an inconsistent source of data partly manually edited, that had to be automatically fixed by software. Our solution: Our main solution was to create a specific software using AWS cloud with a large number of functions that correct the imported data. In addition, the function of correcting individual dates in the calendar has been made available. Information about the schedule for individual addresses in the city is available both via the website and the module of wholesale cooperation with the printing house. Technologies: AWS cloud services, SPA, Python, React, DynamoDB Value added: We built corrective algorithms that can put all necessary data without errors. In addition, the number optimization of printed schedules resulted in a reduction in printing costs.
You might also like
Airport Software Solution
Business ChallengeThe biggest challenge here is the integration of more than 2500 devices into one system. Using our client’s request, all systems should be controlled – from hardware components to software elements. We know that the app should cover issues related to the safety of aviation operations. Our solution will help to buildOur solutionOur client company involved in transport services must have an advanced security system and the app should cover all related issues. To provide a better experience, we decided to build a more intuitive and user-friendly front end.Value we addedWe improved airport security by building an interface aligned with the newest tech trends. Now, the flight controller and airport staff will do their work without even the slightest mistakes.
Data Analysis Standardisation
About client: A vital player in the field of healthcare and research services. It has been creating the best pharmacological solutions for millions of residents for many years. Business challenge: Enabling consistent analysis of data from various sources dispersed throughout the organization. Team composition: Solution architect, Datawarehouse specialist, 2 Software developers. Our solution: Standardization and preparation of data for analysis in the Data Mesh Architecture. Technology used in project: Snowflake, AWS, CDK, Python, DataOps.live + DBT. Value we added: A combination of data sources that used to be separate islands. Future perspective: Joint development of algorithms and management logic in an automated manner based on the collected data.
Data Centralization Solution
About client: It is a company of professionals and healthcare enthusiasts ready to serve millions of users. They are engaged not only in the development of effective products that improve life but also in full-fledged health research. The company was formed quite a long time ago and gradually grew to a corporation with several thousand people on board. Business challenge: Centralization of data on various events. Team composition: Solution architect, IoT specialist, 2 Software developers. Our solution: Design and construction of IoT devices collecting and saving information about events in a central database. In this case, internal employees can have easy and streamlined access to different information they need with high-level external protection. Technology used in project: Python, AWS Serverless architecture, IoT, CDK, AWS. Value we added: Enabling BI data event analysis ability, which was impossible before. Future perspective: Joint development of algorithms and management logic in an automated manner based on the collected data.