Data assessment and profiling - Analyzing the structure and characteristics of migration data to ensure compliance with reporting requirements. Profiling data to identify potential issues that may affect reporting performance.
Data mapping and transformation - Establishing connections between individual elements of source data and target data. Applying transformations to ensure compatibility between source and target systems.
Data acquisition - Extracting data from various sources, focusing on extracting relevant information for BI analysis and loading transformed data into a DWH/data lake.
Data testing - Verifying the accuracy and completeness of migrated data. Testing data consistency between sources and the reporting environment.
Migration validation - Ensuring the accuracy of analyses after migration. Conducting acceptance tests by BI Tool users.
Cloud data migration - Creating a personalized data migration plan to the cloud. Adapting or designing application/DWH architectures for efficient operation in the cloud. Configuring performance monitoring tools for cloud application operation and optimizing operating costs.