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      "abstract": "This session presents the implementation of a shared and straightforward data consolidation platform using the free Google Data Studio dashboards and API connection to Alma Analytics.\r\nOur initial objectives were:\r\n\r\nFacilitate the use of data from isolated data sources\r\nEncourage evidence-based decision-making\r\nCommunicate how UM Libraries\u2019 activities support student learning and faculty research\r\nBenefit from data in a consistent, library-wide manner\r\nImplement a data consolidation solution tool that is (1) familiar, (2) flexible, (3) enables customized sharing options, and (4) reasonably priced\r\n\r\nGoogle Data Studio\u2019s core function is creating visual dashboards, where users can interpret multiple and diverse data sources in a clear and visually engaging manner. Data Studio can automatically ingest data from either pre-built data connectors (Google Analytics, MySQL, and Google Sheets) or any source with an API, allowing for real-time dashboards that aggregate information from various sources. All data sources can be easily imported manually as well.\r\nAs part of the initiative, an Alma Analytics API connector to Google Data Studio infrastructure was built and deployed. A \u201cflexible schema\u201d type of Data Studio Connector was chosen, enabling connection to datasets where the structure of the data is unknown. This ensures access to all Alma Analytics subject areas and fields. Now statistics from Alma Analytics, Google Analytics, and many other University of Miami Libraries\u2019 data sources are filtered and displayed into a single report or even a single chart.",
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