Our team has the necessary expertise to help you at the stages of solution design, implementation, testing, and launch.
Our business has expanded thanks to Akveo’s high-end services! Their contribution has exceeded our initial requirements. Being solution-oriented, Akveo's team establishes strong partnership relations to bring their clients tangible benefits. They always suggest innovative solutions, and remain open to any discussion.
Fully scalable data driven solutions that provide manufacturers with the production process insights to monitor, predict, and make the right decisions at the right time
Modern cloud-based technology stack (Azure, AWS) that allows to save resources on maintenance
Automated process of gathering data
Real-time asset monitoring and immediate failure notifications
Detection of data anomalies and hints for fixing it
The client had a reporting system for the messenger, but it was implemented without proper engineering approach:
Our team started from analyzing and documenting the existing solution and requests for improvements. The second step was to design a new solution's architecture and suggest a set of software tools which would cover required features, would be able to scale and cost-effective.
From scratch we implemented Data Warehouse, ETL process, Reports and Customer Portal. As well we enabled direct access to data in multi tenant Data Warehouse.
We’ve got a simple, straightforward and well-documented solution that can scale based on the current workload. This is cost effective as it only charges during processing and not when idle.
Our team successfully:
- analyzed and documented an old solution and requirements for the improvements;
- prepared a new solution proposal which included architecture, description of the mail features and suggested set of software tools;
- implemented the project and made a transition from the old solution to the new one.
For years the client has been acquiring electronic parts catalogs spending $5000-50000$ per month for each catalog. Our team accepted a challenge to design and implement a solution which would generate and update the catalogs for 5 parts manufacturers from source data.
Each manufacturer has their source data in their own format - text files, xml, excel, databases (.MDF) and even EBCDIC - the format used since the 50s on IBM mainframes.
The goal was to build ETL pipelines which would transform diverse source data and enable a single set of APIs to query all catalogs.
On Stage raw data is imported into MS SQL Database, cleaned and validated. Stage only contains a set of data being processed (it is cleared at the beginning of each ETL run).
Data Warehouse is a permanent data storage with all data sets integrated and normalized (not a canonical data warehouse).
Deliverable Database contains data with applied business rules and transformations required for enabling access by API. APIs are implemented as SQL procedures.
Project Duration: 2.5 years
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