Data Migrations

Data Migration – Process of transferring data between computer storage types or file formats. It is a key consideration for any system implementation, upgrade, or consolidation.

  • Business orientated approach to support the business needs
  • Provide graphical representation of the data quality during the migration approach to provide an opportunity to improve the data quality
  • Data migration process aligned to the Agile methodology which is sprint focused
  • Ability to perform the migration assurance process and role during the migration

Data Quality

Data Quality – Data is generally considered high quality if it is “fit for [its] intended uses in operations, decision making and planning.”.

  • Profiling the data is essential to identify anomaly analysis of the data which is used by the cleansing process
  • Using the output of the profiling, the data can be cleansed according to the standards of the business
  • Review of the data controls in place which identifies the root of the problems in data
  • The data is tested for completeness, consistency and accuracy

Data Visualisation

Data Visualisation – Presenting data in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

  • By using a graphical representation of the data such as charts, graphs, its easy to represent large amounts of complete data than looking at a spreadsheet or report.
  • Data visualisation is a quick and easy way to convey concepts and to identify business issues
  • By visualising KPIs, It identifies areas within business that needs improvement or immediate attention
  • From a revenue perspective some examples are you have clarity on which factors influence customer behaviour, a better understanding of which predicts to place where and to also predict sales volumes