{"id":12647,"date":"2023-01-13T10:11:20","date_gmt":"2023-01-13T10:11:20","guid":{"rendered":"https:\/\/www.tyrrellanalytics.com\/?page_id=12647"},"modified":"2023-02-10T17:46:26","modified_gmt":"2023-02-10T17:46:26","slug":"history-presentation-of-analytic-data","status":"publish","type":"page","link":"https:\/\/www.tyrrellanalytics.com\/history-presentation-of-analytic-data\/","title":{"rendered":"History Presentation of Analytic Data"},"content":{"rendered":"\n
History Presentation of Analytic Data<\/strong> Simaxx provides a powerful way to utilize big data relating to your business premises’ performance and suitability. When it comes to managing statistics, the Simaxx platform<\/a> database can be an invaluable tool for managing, analysing and comparing stored data while assisting in the development of practical solutions to emerging problems. Data Analysis for Business Intelligence<\/strong> Data analysis is a vital part of business intelligence and has been a part of building management since the people of Ancient Egypt transcribed information onto a clay tablet and lasted throughout the Tabulating machine era. After Larry Page and Sergey Brin invented the modern search engine. Data analysis has changed along with the data scientists that manage it, and in the modern day, data science is far more than just clay tablets and basic observations. Simaxx presents a huge range of big data that your company has gathered, providing an extensive list of ways to use that existing data for a variety of purposes. From predictive models to data-driven decision-making, Simaxx is able to process a huge amount of data, as well as open up ways to compare new data to historical data from past analyses. This focus on information-driven solutions is a core part of why Simaxx has seen use in so many different companies and is a major strength of the platform. Acting as an alternative to other data warehouses, Simaxx provides the tools to format unstructured data into a usable data collection. This structured data can then be used for many forms of statistical analysis, predictive analytics, or countless other business intelligence projects that rely on raw data input from multiple sources. Any company using Simaxx can get quick accessibility to a range of important data or keep up constant monitoring and analysis of important risk factors and areas of concern. Simaxx can be tied into a variety of platforms, allowing you to retrieve data from a range of sources. As a building management database, the platform is perfect for helping a company process big data about their property or offices, opening up new options for data analytics that can reveal important insights about the property itself. With Simaxx, a company can record metrics like: Historical Big Data<\/strong> Big data is a major part of many computing technology fields, from machine learning to pinpointing sales trends. Simaxx is suited to handling large datasets about your business and premises, facilitating data analysis that ties to major business decisions. The data warehouse Simaxx provides can hold historically accumulated data from countless past data mining and gathering efforts, enabling easier comparisons with data collected in the long term. Being able to analyse data with this much flexibility gives Simaxx an advantage over other data warehouse technologies. As a cloud data warehouse itself, Simaxx can be used to test hypotheses and discover patterns in historical information without requiring a costly computational process. Data analytics are quick, easy, and can be performed using any computer that can use the platform.<\/p>\n\n\n\n Simaxx’s Historian feature can allow easy use of both the long-term and brief history of data you have gathered in the past. Such data can be used for deeper data analysis, whether that means building pyramids and graphs as visual representations or putting together a final report of raw comparisons between each piece of data. Data Mining and Gathering<\/strong> Like other data warehouses, a major part of Simaxx’s role is to collect data for further use. Simaxx is meant to be a versatile platform for taking care of all data analysis work a business property may require, focusing on storing and analyzing data to achieve a useful or practical solution to an immediate problem. Focused primarily on building management and property maintenance, Simaxx can be used to analyse data from a range of different sources, including: Is there a need for trending historic data for analysis?<\/strong> Data analysis is important, especially when it comes to building performance and employee comfort. Data analytics make a big difference in understanding your property and knowing how to evaluate any potential flaws it may have, whether those are small problems like not having stable air quality or large issues like high-performance temperature control systems failing to work correctly.<\/p>\n\n\n\n Choosing to analyze data from past work can be vital to finding solutions to existing problems. Simaxx offers a way to produce relational databases that can draw on years of recorded data, allowing for full data analysis work when used in the long term. This kind of relational database ensures that all stored information can go through the same analysis process and that each data set is fully comparable with each other collection of data as needed. The more data a building manager can have access to, the better. Development of practical solutions does not have to require a data scientist – just allowed users that are able to take the data within Simaxx and perform an easy analysis, breaking down the raw information into patterns and trends that might reveal important details about your business property and premises. How graphs can be used to understand building performance<\/strong> Building performance concerns things that influence how comfortable and productive employees can be, as well as the overall suitability of the building for the kind of workspace you need. Producing graphs through Simaxx’s built-in graph tools can be an effective way to break down specific statistics to a high degree of accuracy (even if that means using a decimal system for even more precision). Beyond that, graphs serve as a useful visual representation of a problem and\/or a developed proposal to solve it. Building performance is a complex field that focuses on a range of different data sets, and that means that visual distinction makes a big difference. Being able to present information in a clear visual medium enables an easier understanding of what the concerns or proposals actually are. Not only that, but a well-made graph can show the rate of a problem intensifying, the projected time required to resolve an issue or even direct comparisons between different pieces of monitored data.
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n\n
<\/li>\n<\/ul>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n\n
<\/li>\n<\/ul>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n