Database Design and Business Intelligence
PTS approach to designing and developing databases ensures that your applications will provide high levels of data integrity and security while our open approach facilitates efficient and reliable integration with any existing enterprise applications.
Database and platform technologies
We can design databases on most major platforms and operating systems including:
MS SQL Server Implementation (2005-2008) to include:
SQL Server Analysis Services
SQL Server Reporting Services
SQL Server Integration Services
If your database has critical performance issues or lacks interoperability
and scalability, PTS is the right choice to resolve such issues and eliminate bottlenecks. Our services include:
• Database testing
• Improvements implementation
• Complete database refactoring
To minimize production downtime and avoid legacy system migration issues, PTS offers to use full-cycle database migration services. We apply our database development skills to effectively establish the target database and utilize data connectors, ETL tools and manual scripting for data migration.
In such cases PTS proposes the following database migration process:
• Migration planning
• Target database preparation
• Migration testing/Simulation
• Data migration
• Data consistency and integrity verification
PTS is experienced in developing configurable one-way and bidirectional data connectors enabling data exchange, mapping and synchronization across various technology platforms, databases and business applications.
Business Intelligence Databases
Building business intelligence solutions shifts our database development focus to the following areas:
From a business perspective, a productive efficient database is one that contains and manipulates well-structured, actual and consistent data. PTS pays great attention to ETL process and data cleansing, normalization and mapping. To accomplish these tasks, we utilize the data extraction and transformation tools available in Microsoft SQL Server Integration Services.
• Data mining
• ETL execution
• Embedding data quality management procedures
• OLAP cubes development
• KPIs calculation