Data Warehouse (DW)
Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems.
Data warehousing includes Business Intelligence (BI) tools to extract, transform and load data, and tools to manage and retrieve metadata.
Some of the applications data warehousing can be used for are:
- decision support
- performance versus goals analysis
- trend analysis
- exception analysis
- financial forecasting
- insurance fraud analysis
- call record analysis
- logistics and inventory management
Data Mining
Data mining, also known as Knowledge Discovery in Data (KDD), is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management.
Data mining is seen as an increasingly important tool by modern business to transform unprecedented quantities of digital data into Business Intelligence (BI), giving an informational advantage. It is currently used in a wide range of profiling practises, such as marketing, surveillance, fraud detection, and scientific discovery.
Databases
We work with the below database management systems (DBMS):
- Oracle
- Teradata
- IBM DB2
- MaxDB
- PostgreSQL
- MySQL
- Sybase IQ
- XML-based databases
- Microsoft SQL Server
- Microsoft Access
- ...
Specific technologies
- ETI
- TIBCO
- SAS
- Business Objects
- Sunopsis
- Oracle Fusion Middleware (OFM, ODI)
- ETL
Database administrators
- data analysts
- query designers
- query optimisation
- system performance
- data replication
- high availability
- data backup
- data recovery
- security
- ...