Analytics

TraceMark’s sustainable sourcing monitoring platform provides transparency into global supply chains about the sourcing of raw materials.

Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.

Learn the optimizations for a dbt deployment that are essential for a dependable data stack.

Point-to-point integration is a method of connecting two or more software applications or systems together to exchange data seamlessly. It helps organizations break down data silos and enables the sharing of critical information across different systems. P2P integration eliminates the need for complex middleware or custom code, providing a more efficient and streamlined approach to data integration.

Atlas AI‘s geospatial artificial intelligence platform that helps organizations anticipate changing societal conditions to help them make investment decisions.

The new BigQuery connector to Google Earth Engine improves ease-of-use and enables new analyses that combine raster and tabular data.

Tracking and analyzing your content marketing efforts can be easy if you use Content Grouping in Google Analytics. Check out these 9 ways to get started.

Data is meaningless unless you draw actionable insights from it. MySQL reporting tools can help you gather the insights you need to make clear business decisions and drive growth. From tracking KPIs to identifying trends and patterns, MySQL reporting tools can unlock the true potential of the data stored within your database.

I recently watched the movie Air. I absolutely loved it. Note: if you don’t want spoilers, you may want to skip the next two paragraphs. Air is a story chronicling how Nike, the underdog in those days, steals Michael Jordan away from Adidas and Converse. With the cards stacked against Nike—they had a much smaller budget than their big-brand competitor, Adidas—it was conventionally assumed that Michael was better off signing with a more established brand.

One of the most common challenges of analytics adoption is ensuring that your customers or end-users can see and extract value from their data and reporting tools. Providing people with new and improved embedded analytics tools is unfortunately not enough to guarantee that everyone will be able to use them without additional assistance or encouragement.