Public health programs have to cope with a variety of heterogenous data generated across multiple activities which arrive in various formats.
For example, Polio activities in a given country typically involve several participant organizations who may be using different data dictionaries, coding systems and labels.
Novel-T can help organizations integrate disparate data streams into a central repository which is harmonized across standard lists of references and enables knowledge-driven decisions.
Share all datasets across the entire organization and create a spirit of collaboration
Map incoming data to the common lists of references standardized by your organization
Identify inconsistencies and data quality issues and automate the curation process
Empower data managers with tools that can be used without programming skills
Configure and train data pipelines to automate future updates to reduce workload
Track changes to your data as it is updated over time
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