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Data quality – vital to optimizing GenAI


A survey from EY and NASCIO of state chief information officers and chief data officers


For state and local government executives, the imperative of maintaining high-quality data cannot be overstated. Accurate data is the cornerstone of insightful analytics, strategic decision-making and the effective training of artificial intelligence (AI) models. That is why we decided to gauge the feedback of state chief information officers (CIOs) and state chief data officers (CDOs) through a collaborative, national survey. Ninety-five percent of the respondents believe that increased adoption of AI and generative AI (GenAI) will impactthe importance of data management. The resulting report, which is based on responses from 46 states, indicates that state governments are grappling with the establishment of comprehensive, enterprise-wide data quality programs.

An effective data quality program is essential for proactively managing state government data and identifying where investment in data quality efforts can yield the most significant return on investment. Moreover, there is a notable gap in the availability of skilled personnel required to develop and maintain an operational framework that maintains the sustainability of data quality.

 

The discrepancy between the recognized importance of data quality and the implementation of programs to safeguard it can be attributed to factors such as business drivers, budget limitations, lack of necessary skills, organizational awareness and other competing priorities. These challenges are magnified when attempting to address data quality at the enterprise level, where the complexity and scope of the task increase substantially.

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Summary

This report will highlight key findings from our 46 state respondents, emphasizing the critical role of data quality within their respective organizations. It will discuss the strategic considerations for building the necessary teams and skill sets, the adoption of technology solutions for data quality monitoring and the creation of ongoing data quality initiatives. These actions are vital for enhancing the value of data, which in turn supports the delivery of superior services to residents.

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