Integrate Key Components

High Quality Database

Data model

A good data model is always adequate the business and at the same time it is well designed from a formal point like normalisation/de-normalization techniques. The model has to be created and supported using modelling tools for self-documenting and easiness of extensions and understanding.



Data control

Minimising and centralising of data control points using descriptive methods like database constraints and server procedures provide an essential improvement of the data quality eliminating incompleteness and discrepancies of the data rule checks. It accelerates data processing and reduces the application code.


Instance performance

Well-tuning database instance brings a lot to the database quality providing as fast as possible data access and/or data modification. Instance tuning focuses on potential database performance bottlenecks that can be different for each type of the database application (OLTP, OLAP, DSS, mixed type).

SQL performance

Although in many aspects SQL performance is pre-defined by the data model - logical design intends the best data navigation and physical design suggests the fastest access to the data, it can be substantially refined applying SQL tuning techniques that pay attention for the particular SQL running conditions.

  • Data are delivered in timely fashion
  • Data are under a robust protection
  • Business applications are fed with proper data
  • Front-end and middle tier are unloaded from basic data control and data consistency checking
  • Existing/new application development is boosted with explicitly, well documented data model of the current data

ROI of your software