What is it?
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.
We provide
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.
Advantages
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