Data Warehouse

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Azure Dataverse

The data produced in different sources by the departments within the organization should be moved to a separate platform in order to facilitate the reporting and analysis. We provide consultancy services to clean, classify, transform and report data on on-premises and Cloud platforms.

In this way, analytical reports, admin dashboards and (push notification) reminders can be created with reporting tools such as Power BI and services such as Azure Synapse Analytics.

Data warehouses consist of the following components:

• A relational database to store and manage data,
• An extraction, load, and transform (ELT) solution to prepare data for analysis,
• Statistical analysis, reporting and data mining skills,
• Customer analytics tools to visualize data and present it to business users,
• Other, more detailed analytics applications that generate actionable information by applying data science and artificial intelligence (AI) algorithms, or enable more types of data analysis at scale using graph and spatial features.

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Azure Data Factory

To collect data from corporate sources, we define ETL and ELT processes and consolidate them on Data Factory. We provide data transfer from On-Premises SQL databases using SSIS.

• Extract
  Creating the necessary queries and procedures to properly extract data from source systems.
• Transform
  Defining dimensions and metrics of data that may be meaningful for reporting.
• Load
  Deploying prepared data on Azure Data Factory.

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Azure Synapse Analytics

We offer a unique working experience to customer organizations by using the data collected in data sources such as Datawarehouse and Data Lake, artificial intelligence supported reporting systems and analytical models.[/vc_column_text][vc_single_image image=”7146″ img_size=”large” alignment=”center” style=”vc_box_shadow_3d”][qodef_separator type=”full-width” color=”#efefef” border_style=”solid” thickness=”1″ top_margin=”10″ bottom_margin=”10″][/vc_column][/vc_row]