fix: minor capitalization error

src/content/blog/2024-09-30-dwmrc-and-ugrc-release-map-to-help-utahns-recycle-better.mdx

@@ -21,7 +21,7 @@ These data products are part of a larger effort to improve the way we manage was
 
 Let's start with the process. Every waste management facility in the state submits reports about the materials they process to DWMRC, which are stored in a SalesForce database. We wrote a Python script to extract these reports, clean the data, transform it into a coherent structure, and calculate metrics that summarize it across the state. 
 
-We use the pandas library for data processing and our own [palletjack](https://github.com/agrc/palletjack) library for extracting the data from salesforce and uploading the processed data to ArcGIS Online. The script runs fully automated in Google Cloud Platform (GCP), keeping the data up-to-date while preventing human error and saving time and money.
+We use the pandas library for data processing and our own [palletjack](https://github.com/agrc/palletjack) library for extracting the data from SalesForce and uploading the processed data to ArcGIS Online. The script runs fully automated in Google Cloud Platform (GCP), keeping the data up-to-date while preventing human error. This process also saves time and money for the State of Utah.
 
 Even if you don't have a haunted vase from a long-lost relative lying around (perhaps we should all check?), there are plenty of reasons why having access to this data is a good thing. First and foremost, the map shows where you can dispose of any other haunted articles you have in your possession along with regular items such as paint cans, batteries, and furniture. The map also points out recycling centers and has been used by organizations such as the [Utah Recycling Alliance](https://www.utahrecyclingalliance.org/post/utah-s-new-recycling-data-initiative) to help spread awareness about recycling efforts. Just knowing where and how to recycle can help people to actually do it.