A number of libraries have this issue, at the Kenosha Public Library we have leveraged automation to improve data accuracy.

Within the Kenosha Public Library, my work is all about harnessing technology to optimize our operations and services. Our automated scripts are at the forefront of this transformation, automating the seamless transfer of critical data from our Data Lake to the Data Mart. This data encompasses a wide range of topics, including circulation statistics, holds, renewals, digital collection usage, patron traffic, WiFi utilization, self-checkout trends, event details, patron feedback, help requests, weather insights, and local sporting event updates, spanning high school, middle school, and professional games.

Beyond their role in data management, these scripts are the guardians of data accuracy. They proactively identify and rectify anomalies, ensuring that the information we offer is consistently dependable. Furthermore, we've elevated our library catalog by enriching it with information sourced from trusted online references. This enrichment enhances your experience, making it easier to discover new materials.

As a testament to our commitment to inclusivity, we're also working on an innovative script that uses the Alpaca Language Model from Stanford University. This script is designed to help patrons explore items that align with various Equity, Diversity, and Inclusion (EDI) topics, ensuring that our library is a welcoming space for everyone.

Automated scripts to improve data reliability