In the analogue world human expertise filters erroneous data (if/when noticed) and makes adjustments in real time. In the digital world this model is difficult to replicate so to ensure reliable results the data needs to be correct at the point of entry.
While this idea sounds straight forward there are deeper considerations such as sourcing data feeds, generic data models, enforcing quality assurance, mapping data, building data and cleaning data to name a few. We offer a full Data Factory service that can scale to cover all requirements.