Revolutionize your data projects with
innovative and tailor-made solutions
Some references
Our philosophy
At Phenytech, we believe that good data projects are based above all on listening to and understanding the challenges of our customers.
A philosophy that contributes to the success of the projects entrusted to us by our clients:
Run managed by Phenytech
Asendia
What?
- Recovery and re-engineering of pipelines that ingest data from suppliers into a tracking application.
- Migrating these data pipelines to the cloud and setting up a DevOps framework.
- Implementation of API interfaces for querying tracking for customers.
- Implementation of a datawarehouse that records this tracking data for the purposes of analyzing the quality of service and performance.
Notable gains:
- Data ingestion rate multiplied by 5, bringing the tracking service closer to a “real time” mode.
- Optimized management of large volumes, allowing a strong multi-competition data query in API mode.
- A rapid evolution cycle, allowing the rapid and reliable integration of new needs
- Reinforced monitoring, allowing the forecasting of these incidents, their rapid detection and a greatly reduced resolution time.
- Reduction of infra costs, through the establishment of an adapted cloud infrastructure.
Run managed by Phenytech
House of Staunton
What?
- Implementation of a comprehensive data platform, including:
- the development of data pipelines from various business applications and third-party APIs to a datalake
- a dynamic and interactive reporting system based on open source technologies;
- Implementation of this data platform on a cloud infrastructure, using Infrastructure As Code and “serverless” services
Notable gains:
- Reduced platform development and maintenance costs, without compromising reporting quality
- Reduced time between data production and reporting, allowing more up-to-date business management
- Broader business management thanks to the intersection of a wide range of analysis axes and reinforced reporting functionalities
Zeway
What?
- Establishment of the base of Data projects including: some text
- Setting up and starting the Snowflake account;
- Implementation of Python/Spark/Snowflake data pipeline templates;
- Automating the AWS infrastructure via Terraform “serverless” services.
- Coaching and assistance for internal development teams.
Notable gains:
- Datalake configuration based on AWS and Snowflake solutions for advanced use and controlled costs;
- Automated operational management for better responsiveness in the detection of material defects;
- Implementation of templates for reuse and appropriation of data flow logic.
Run managed by PhenyTech
Orientis
What?
- Implementation of a DataHub on a “Cloud” infrastructure, interconnecting data flows from CRM, Logistics and Accounting applications.
- Managing the run of this datahub.
Notable gains:
- Significantly reduced business process processing time.
- Enhanced data quality, leading to a low incident rate.
- Implementation of a quality monitoring service, leading to a greatly shortened incident detection time and resolution time.
- A rapid evolution cycle, allowing the rapid and reliable integration of new needs.