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American Museum of Natural History

The American Museum of Natural History is a cultural icon with an award-winning digital presence.

 

Mugo has worked with the American Museum of Natural History since 2011. We develop and maintain all aspects of the website code, provide support on server management, coordinate features with editorial and science teams, and work on several website properties, including their main website.

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Adding data to your Solr index for Ibexa DXP 4.x

Sometimes, Apache Solr doesn’t index data in just the way you need for your custom search criteria. When you need to add data not indexed by default in the Solr search engine, the document field mapper should be created to fit your needs.

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Custom filters for "scalemin" image variations in Ibexa 4.x

Having quality images on your site is important, and creating all the different versions of images for the various ways they will be used on your site is time-consuming and potentially frustrating. Letting browsers auto-render images to different sizes and shapes will cause pixelation and stretched images that don’t reflect well on your brand. The good news is that there are several tactics to automatically generate high-quality and specific versions of images to cover all the use cases.

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illustrated computer with a large folding map on the screen

Making your custom embedded Google Maps more efficient with marker clusters

Google Maps is an almost ubiquitous tool and can be incredibly useful to integrate into your site. There’s a lot of versatility in its uses, but depending on how much you’re asking it to do, the results might not be optimal. When you have a huge dataset to display on Google Maps, the performance tends to slow down. When that data is spread across a large geographic area, the issue can be compounded. As you zoom out and more markers try to load, your map can slow to a crawl. What was a useful tool now becomes a point of frustration for visitors to your site. Let’s take a look at the technique that can be used to improve the performance of maps with large datasets.

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Predictive analytics in GA4

One of the major selling points for Google Analytics 4, when it was released in late 2020, was the inclusion of predictive analytics metrics, a Big Data feature that until then had largely been the domain of enterprise analytics packages.

Now that Google has announced that GA4 will replace Universal Analytics for all users by July 1, 2023, it’s worth a second look at how GA4’s predictive analytics can impact your business.

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