RTM Pro by AppliedIT
Minitab
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Tableau
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Anania
ScienceSoft Consulting
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Google BigQuery
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Rakam
RTM Pro is a “database” software analysis platform developed specifically for problem solving in the manufacturing environment.
Navigate through large amounts of data to identify trends, correlations, key indicators, and root cause. Optimize bottlenecks in your manufacturing processes, improve the productivity of your assembly lines by reducing unplanned machine downtime, and increase quality. Create predictive models to anticipate future problems and discover non-random trends and much more!
RTM Pro is designed for all types of users without a degree in data science or statistics, implementing an easy-to-use interface and tools with advanced analytics capabilities powered by the power of Artificial Intelligence.
Do you need to easily and quickly improve the performance of your factory? RTM Pro allows you to get a complete view of your factory in real time, from production to maintenance and quality. Predict and prevent problems before they affect your production and optimize the use of your resources to reduce costs.
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RTM Pro by AppliedIT's answer
Quality Engineers, Project Managers, Operations Manager, Data Analysts, Data Scientists in the manufacturing industry.
RTM Pro by AppliedIT's answer
AIRBUS, Continental, Eberspächer, Handtmann, Lindner, Vitesco...
Based on our record, Google BigQuery seems to be more popular. It has been mentiond 35 times since March 2021. 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: 12 months ago
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