Science and Research Content

DataSalon launches new data quality service - DataSalon DQ -

Customer insight solutions provider DataSalon has launched a new data quality service, aimed directly at the needs of scholarly publishers. DataSalon DQ is a fully-hosted data quality solution, providing a flexible toolkit for analysing and improving the quality and accuracy of any data set.

Improvements in data quality can have a great impact on customer service and improve the efficiency and effectiveness of sales and marketing campaigns. DataSalon DQ is an indispensable tool for helping publishers build confidence in the quality of their data.

DataSalon DQ empowers publishers to identify and address their own data quality issues, allowing a powerful set of configurable rules and reports to be applied to any data table or spreadsheet. Data can be analysed in order to identify problems, then rules configured and combined in order to deal with each type of issue found.

A wide range of configurable rules are provided, allowing users to clean up names, addresses, emails, product names, financial values, and more. New fields can also be created automatically - for example to calculate totals and averages, to infer continents and sales regions, or to populate institutional identifiers using fuzzy matching based on free-text institution names.

DataSalon DQ is a stand-alone service - it can be used to clean up existing databases, and also to tidy and transform legacy data for system migration projects. It can also integrate closely with DataSalon's customer insight product, MasterVision, so publishers can easily use both systems together as required.

The product is not just for technical experts - it provides a toolkit of powerful yet intuitive rules within a user-friendly interface, allowing any user to build up a data cleansing solution incrementally in a series of simple steps. The product helps users to apply changes quickly and with confidence, as the results of each rule can be viewed immediately. All changes are fully logged, and clean-up rules can easily be edited or removed.

Publishers typically deal with huge quantities of customer data, and DataSalon DQ can display and clean millions of rows in a matter of seconds. Powerful filters help users to address issues in manageable chunks and allow rules to be targeted precisely.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

Click here to read the original press release.

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