Data is normalized by normalizing duplicate and test data or any other inappropriate or incorrectly registered information.

Normalization of Data

Normalization of data from different sources and formats. Structured and unstructured data such as:

SQL Databases
Excel Files

Information normalization and Data Warehousing

Normalized data can then be imported, afterwards, into each client's own software, ensuring that databases stay clean and maintain reliable and organised information, ready for the implementation of a data warehouse.

Data Preparation

The most appropriate graphical visualisation techniques that enable the profiling of data by type and scale, the use of frequency, location, dispersion and distribution measures, as well as by the connection and correlation between variables and attributes.