[CSA/OPS]​

CUSTOMER STORY ANALYTICS​

Creating a workflow management system that allows users toautomatically schedule the execution of any task and track those tasks.At the same time, it automatically retrieves data from specifiedlocations, converts the data according to the end user’s wishes, anduploads the file to any storage system such as AWS, Google, etc.​

LOCATION: Japan​

INDUSTRY: IT ​

DURATION: Developed as phrases​

SIZE: 4.5 MM ​

SERVICE: ​

Support for building and operating the data analytics infrastructure. ​

It consists of three components:​

– Data Uploader​

– Job Management Console​

– CS Analytics Desktop & Server​

Key Technologies: [Python], [Golang], [AWS], [GCP], [Datawarehouse]​

​

​

​

​

CLIENT AND OBJECTIVES​

Our client is the Data Integration department of an IT company based in Japan and a premier partner of AWS. ​

They sought to develop a centralized, user-friendly big data management and analytics platform.​

​

​

CHALLENGES​

– Strict security requirements from the client​

– High technical proficiency, demanding top-notch quality​

– Continuous need to adapt to new languagesand technologies​

– Limited experience with cloud platforms likeAWS and GCP​

​

​

Luvina implemented a comprehensive training plan on AWS, ensuring team members obtained necessary certifications according to client requirements within three months. ​

​

The team proactively created learning plans and documented relevant materials for other new technologies. During the initial stages, the client actively supported by reviewing source code to ensure quality. Basic training typically lasted 1-2 months.​

​

– Skill Enhancement: Luvina team members gained valuable experience working withtech-savvy clients, broadening their expertise and skills while adopting newtechnologies.​

– Tool Development: Luvina developed a tool for managing AWS resources, ensuringthat unnecessary costs were avoided while utilizing AWS resources efficiently.​

​

​

​