Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at their back- and front-ends, so they can harness and leverage their data and maximize the return on their e-commerce investment.
critical to quality examples
statistical certainty, to determine critical relationships within the data, such as duplication and affiliations (e.g., households, divisions of one company). Fuzzy matching is necessary because normalizing data can't eliminate all non-standard data. What does it cost? Though prices vary, higher priced solutions yield greater automation and better quality results. For catalog content, automated processes will dramatically reduce the aggregation time and costs of manual review and provide content that is