Ronan Analytics | Businesses

Ronan Analytics

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10.01.2022 During July and August 2019 more than 52,000 mine and quarry workers attended 1,197 Safety Reset sessions - to refocus on what it means to be a safe industry, free of fatality and serious harm. A confidential online survey was conducted to capture feedback on the reset sessions and industry safety culture more broadly. The independent analysis of the survey data that was conducted by Ronan Analytics is now available. Queensland safety reset survey analysis and key findings re...port 2019 https://www.dnrme.qld.gov.au//safety-reset-survey-results- The findings are generally consistent with those of the more formal reviews and highlight a desire for improvement in 3 areas: 1. safety leadership 2. workforce practices 3. training and procedures.

01.01.2022 QUALIFY uses machine learning techniques to automatically analyze and report the themes and sentiment hidden within your unstructured data. There is no need to do any pre-work to get your files ready for QUALIFY, simply use them as is. QUALIFY has been built specifically for non-technical people, delivering the power of machine learning directly to you in just a few mouse clicks. In fact, QUALIFY is so easy to use anyone can learn to use it in just a few minutes. QUALIFY can read through hundreds of files per day so that you don't have to! It works on Adobe PDF, Microsoft Word (doc and docx), plain text (txt), comma separated (csv) and web page (html) files. Contact us for more info on how QUALIFY can help with automating your unstructured data.

01.01.2022 The efficient flow of data from one location to the other from a SaaS application to a data warehouse, for example is one of the most critical operations in today’s data-driven enterprise. After all, useful analysis cannot begin until the data becomes available. Data flow can be precarious, because there are so many things that can go wrong during the transportation from one system to another: data can become corrupted, it can hit bottlenecks, or data sources may conflict and/or generate duplicates. As the complexity of the requirements grows and the number of data sources multiplies, these problems increase in scale and impact. Building data pipelines that ensure robust data is our passion.