Development of data projects

DATACARE Group develops, implements and maintains advanced data science and data engineering solutions for companies according to their individual needs

Main areas of project development:

  • Business processes, their creation and measurement solutions;
  • KPI and OKR identification and adaptation to processes;
  • Implementation ofBIG DATA solutions;
  • Data visualization and creating automated dashboards;
  • Implementation ofmachine learning solutions;
  • Development and implementation of business applications;
  • Implementation of business process digitization and automation solutions.
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Projects

The tools and methodologies we use:

Code editors

Visual Studio Code, PyCharm, Anaconda

Visual Studio Code PyCharm Anaconda

Data platforms

Microsoft Fabric, Power BI, Power Apps, Power Pages, Power Automate, Power Virtual Agents

Power BI Power Apps Power Automate Power Virtual Agent Power Pages

Data sources

Azure SQL, MySQL, PostgreSQL, SQL, SharePoint, Excel, Microsoft Dataverse

Mysql Sql PostgreSql Microsoft Dataverse

Programming languages

Liquid, Javascript, JQuery, Phyton

phyton js jquery

Methodologies

Agile, Agile Scrum

Agile agilescrum

Azure DevOps

Zaure DevOps

For customers

Deploying

Susiejimas

‌Created projects are deployed to existing data infrastructure and automatic data flow is enabled.

Installation

Diegimas

Once the project is fully developed and tested, it is released into a real environment for end-user testing and use.

Operation

Valdymas

After the project goes live and after the initial testing, active bug fixing and ongoing maintenance of the project continues.

Maintenance

Priežiūra

‌After correcting the errors and approving the latest version of the project, periodic monitoring of the project continues.