Get detailed insights into visitors’ behaviour with Burst Statistics, the privacy-friendly analytics dashboard from Really Simple Plugins.
*Essential Metrics: Pageviews, Visitors, Sessions, Time on Page and Referrers. *Privacy-friendly: Locally hosted, and anonymized data in collaboration with Complianz. *Cookieless Tracking: Get data based on anonymous parameters without storing data in browsers. *Optimized: Built for performance and data minimization. *Flexibility: Have your own idea how Bounce Rate should be measured? Configure your own metrics. *Open-Source: We see our users as collaborators, so please feel free to use the below links to help us out building the best analytics tool for WordPress.
Burst Statistics's answer:
Every WordPress user with the desire to gather essential site statistics, while still respecting international privacy legislation like the GDPR and CCPA.
Burst Statistics's answer:
Gathered data is stored on your server, Burst Statistics (or anyone else) has no access to your data. Furthermore, Burst is developed by privacy-specialists and respects international privacy legislation.
Burst Statistics's answer:
Burst Statistics is developed by the developers of Complianz GDPR/CCPA Cookie Consent, as an alternative for Google Analytics and other tools that are not built with privacy in mind. Data about your website and visitors should be yours, and not accessible by anyone else.
Burst Statistics's answer:
WordPress, PHP, JavaScript, React.
Burst Statistics's answer:
Cookiedatabase.org
Burst Statistics's answer:
Based on our record, Google BigQuery seems to be a lot more popular than Burst Statistics. While we know about 35 links to Google BigQuery, we've tracked only 1 mention of Burst Statistics. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago
Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago
Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 10 months ago
You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
Statify: free and extremely simple - https://statify.pluginkollektiv.org/documentation/ Burst: free, well-coded and absolutely best-in-class - https://burst-statistics.com/. Source: over 1 year ago
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