Data Review Process

Software | Data Delivery, Transformation and Quality

Data quality, in all its forms, is a must for accurate performance benchmarking. Baromitr’s data review process features a three step process of data issue identification, total data review and sign off, ensuring a successful, quality benchmarking update.

Issues Identification

Users don’t mean to supply bad data, but it can be a roadblock when calculating benchmarks. Baromitr has built in issue identification features to prevent duplicate data from entering calculations.
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Total Data Review

Before sign off, we give every user the opportunity to see their cleaned, total data set before sign off. See something that slipped through? Remove one record, all records. And grab a full download copy, as well.

Total Data Review

Before sign off, we give every user the opportunity to see their cleaned, total data set before sign off. See something that slipped through? Remove one record, all records. And grab a full download copy, as well.
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Official Sign Off

The last step in the process is a clear, recorded point of sign off acceptance by the user. Reinforcing quality, this acceptance process is key to unleashing data for benchmarking.

Other
Features

Administrator Controls

Automated Email Notifications

Benchmarking Anti-Trust Compliance

Customer Onboarding

Data Delivery Methods

Data Review Process

Data Security and Member Anonymity

Multiple User Roles

Performance Insights, “This Instance” View

Performance Trends, Goal View

Performance Trends, Trend View

Product Marketing Support

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