High quality data is paramount for analytics that support public health strategic and operational decision-making. The CDC developed the Immunization Information Systems (IIS) Data Quality Blueprint which provides programmatic guidance to local immunization programs for improving quality of immunization data for their population. Additionally, detailed operational guidelines that support the IIS Data Quality Blueprint have been developed in collaboration with CDC partners, such as the AIRA.

This presentation will focus on application of popular business analysis techniques, such as concept models, business rules, and decision tables, to capture operational best practice recommendations for IIS on maintaining and improving data quality for incoming data as well as for data at rest.

You will learn:

• fundamental aspects of data quality
• leveraging business analysis techniques to analyze fundamental aspects
• dealing with data quality issues- tips to foster data quality culture.