Robust Data Practice

Understanding the difference between data and information is the key to solving data quality.

Data is raw, unorganized facts that need to be processed. Data can be something simple and seemingly random and useless until it is organized. When data is processed, organized, structured or presented in a given context so as to make it useful, it is called information.

We provide services to develop the specifications around data requirements and the translation of those data requirements from source to target system mappings. These specification are essential to the complete robust testing of function and data.