Data migration often involves long-term, costly and high-risk projects. Most of all it commonly requires a lot of complex customer-specific scripts. As a result, project teams frequently take only the extraction, data manipulation (transformation) and loading into consideration. Improving and cleansing data is often neglected or not taken seriously enough, leading to non-standardised data and preventing similar records from being merged.
Any migration process starts with knowledge-based interpretation. High precision matching and intelligent enrichment will cleanse and improve the data. Subsequently the data are merged based on specific business rules. Human Inference DataHub is an out-of-the-box solution, that combines these steps, to deliver quality data to the target system(s).
The precursor to effective customer communications and experience starts with truly understanding your customers. We break down the data silos and create a single view of the customer from a variety of formerly disparate data sources; in order to feed systems, processes and analytics. Human Inference solutions then standardize, transform and cleanse that data to create one trusted source of complete, accurate, compliant and enriched data. A source which enables you to make better business decisions and significantly improve your operational efficiency.