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Software, Analytics Data and Reporting in the Aerospace Industry

SW Development Business Intelligence (BI) Business Analytics
austrian bratislava project touch4it
INTRODUCTION

Unleashing the Power of BI for Informed Decision-Making

Austrian Technik Bratislava provides first-class maintenance, repair, and overhaul (MRO) activities specifically for aircraft, based at the Bratislava Airport. ATB team consists of highly skilled technicians, boasting an average of 15 years of industry experience. Leveraging their profound knowledge, they excel at anticipating common findings. Now, thanks to the implementation of the BI project with us, they are empowered to provide valuable insights for their business operations regarding potential future outcomes and system behaviors. 

CHALLENGE

Understanding Data as the Main Key

Collection, organization, and interpretation of data to obtain valuable insights for informed decision-making. In preparation for the development phase, we prioritized understanding the context and specialized terminology, working closely with our client. This collaborative approach ensured that we started the project with a comprehensive understanding, setting the foundation for success. 

SOLUTION

Reports and Dashboards with Aggregated Data from Various Sources

The solution utilizes data gathered and stored from multiple sources, then transforms data and loads data (ETL process) to an analytics database, loaded to the BI tool, and presented to users. We embarked on a transformative Business Intelligence Analytics project aimed at aggregating data from various client sources into a robust analytics database. Our solution enabled the client to uncover hidden opportunities through insightful reports derived from the gathered data. This project served as a foundational milestone, empowering us to embark on future endeavors with the client such as advanced analytics and acquiring data from previously inaccessible sources.  

CAPABILITIES

Services We Provided

  • Backend development

  • Integrations

  • ETL pipelines

  • Business Intelligence Analytics 

PROCESS

Thorough Data Work: Validation and Processing

Within BI projects, we prefer to guide clients through 2 iterations: Data Analysis and Data Analytics. In this case, we started with Data Analysis meaning gathering the client's data, processing them, and presenting them by using BI tools (data visualization or storytelling). The next steps lead to proposing actions to take based on the data and sharing data between departments. The key steps to developing a successful BI project for ATB and achieving the desired outcome were identifying data sources, gathering and cleaning the data, developing a data model, developing analytics models, testing and validating, and creating reports and dashboards. Once the project was implemented, monitoring performance and adoption of the business operations changes and challenges became the key.  

Each iteration is composed of several steps like: 

  • definition of scope and objectives, 
  • identify data sources, 
  • gather and clean data, 
  • develop a data model 
  • develop analytics models 
  • test and validate 
  • create reports and dashboards 
  • run and monitor 


These are described more in detail in our blog post

OUTCOME

Resource Optimization, Increased Productivity, Simplified Aircraft Maintenance

Our collaboration and tech partnership led to significant advancements in the MRO activities effectivity and efficiency. Through tailor-made software development and advanced BI analytics, we helped to streamline aircraft maintenance and repair operations, achieving faster turnaround times in fewer days. This achievement optimizes resources and enhances operational productivity, showcasing the transformative impact of our partnership. Working with data using Business Intelligence and Business Intelligence Analytics is crucial and suitable for every company that wants to solve a specific operational problem or is looking for ways to become more efficient. 

Tech Stack

Tech stack Logo Nodejs
Tech stack Logo Postgre SQL
Tech stack Logo PowerBI

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