Data Analytics Solution: 1-Mo Implementation

The Data Analytics service is for companies that are struggling to leverage full potential of data.

Why customers use Data Analytics:

1. Reduces amount of manual work in data management.
2. Outdated reporting tools can be changed to "never getting old" solutions.
3. Increased flexibility and scalability let’s you add new functionality and data sources fast and seamless.
4. Enriched and cleaned data leads to better business decisions.
5. Cutting edge Analytical tools let you act proactively instead of reactively.
6. Helps to comply with security, auditability, and data privacy regulations (GDPR, CCPR, etc.).

Baltic Amadeus can build new Data Analytics from scratch or migrate and modernize customer’s existing solution. This can include modernizing and migrating project from on-premises to an Azure-native platform.

Solution is fully Azure Cloud based. The main components are (but not limited to):

1. Azure Data Factory. ADF is an ETL tool, responsible for transferring data from different systems into Data Warehouse.
2. Azure SQL Database. PaaS solution for data storage. It consists of two logical parts – Staging Area (for temporary data storage) and Data Warehouse (cleaned, transformed, enriched data).
3. Power BI. Cutting edge analytical tool with intuitive self-service. Power BI is a clear market leader with the best functionality/price ratio. It will contain all dimensions, KPIs, reports and dashboards.

Additional components available to enhance data analytics solutions:

1. Power Apps - as the user interface to manage data. Creating hierarchies, modifying dimension attributes, filling in missing data, deleting duplicates, etc.
2. Logic Apps - used for notification services or integration/automation with other Azure processes.

Data Analytics solution offers 3 different pricing plans (1-month, 2-months, 3-months) depending on project scope and complexity.

Example scope of 1-month plan:

1. 1-2 data sources
2. 10-50GB data amount
3. 2-3 reports
4. up to 3DIMS \10 MEAS

More information: https://www.ba.lt/en/