TOP TOOLS FOR DATA ANALYSIS DRIVERS
TOP TOOLS FOR DATA ANALYSIS SOFTWARE

Rapid Miner: An excellent open-source predictive analysis system written in Java.

TOP TOOLS FOR DATA ANALYSIS SOFTWARE

Some of the leading data mining software tools available on the market today include: Confirmatory Data Analysis (CDA: This involves using all of the collected data to try and determine whether suspected correlations are true.Exploratory Data Analysis (EDA): This involves searching for patterns in data in order to identify new trends or learn new information.The applications that can perform data mining statistical analysis are highly specialized and often need to be customized to the application or situation at hand. One of the most powerful new data analysis techniques is something called data mining.ĭata mining focuses on using statistical modeling to pull patterns and trends out of a large volume of data in order to predict future trends. Thankfully there are excellent open-source options available if that’s where you need to start. The option you decide to go with really depends on the investment you or your organization wants to make. It’s power comes from the ability to output reports in many different formats like printed documents, PDFs, and web-based reports. JasperReports: This is another open-source reporting solution.The tool includes automated report generation and can automatically email those to anyone. Whatagraph: Popular among marketing agencies because it’s easy to produce easy-to-understand reports.Connectivity with many different data sources is available. Tableau: A popular data visualization platform used across many different industries.Metabase: An open-source (free) solution that touts itself as letting people in your organization “ask questions and learn from data”.The leading data visualization tools today include: In fact, there’s a growing market for just these types of tools. PowerBI isn’t the only app with the ability to manipulate and visualize data in this way.

It provides the ability to gain insights that were never before possible before tools that let you visualize data from many sources. This is the magic of modern data analysis. The ability to combine information from various data sources lets you find correlations that wouldn’t have been possible before. You can then slice and dice the data across various pie and bar charts, line graphs, tables, and more. PowerBI is a powerful visualization tool offered by Microsoft that lets you bring in data from many different data sources. The most popular tool for collecting, analyzing, and visualizing business data is Microsoft PowerBI. Choosing the right data collection and analytics solution for your manufacturing facility really depends on the controllers you use, how you want to store the data, and how much you are willing to spend. Nearly all of these software providers include data analysis tools to go along with their data historian solution.

Iconics: A smaller player in the data historian marketplace, the makers of Iconics promise to provide “high-speed archiving” so the stored data resolution matches what originally occurred on the machine.

Aveva: Formerly known as Wonderware, the AVEVA Historian promises to provide “open access” to machine data like process data, alarms, events, and more.

Factorytalk: Long time automation leader Rockwell Automation produced their own data historian called Factorytalk to help their customers collect data from machine processors.

TOP TOOLS FOR DATA ANALYSIS DRIVERS

OSIsoft: This company has been around for decades, and includes “integrators” or drivers that can get data out of almost any kind of processor, sensor, or database.

The data historian leaders in this area include: There are many vendors that have written software to get data out of those controllers and into a data historian or a database. Getting data out of those PLCs involves software that runs on a server on the same network as those PLCs. These devices not only run the equipment according to how they’re programmed, but they also collect and gather data from that equipment. In most cases, manufacturing equipment is automated by the use of a programmable logic controller (PLC). If you think about a typical manufacturing facility, every single machine on the shop floor collects dozens to hundred of data points that include: The difficulty when it comes to gathering data from manufacturing processes is that usually there’s just so much of it.

Gathering data from all of these different systems throughout your organization lets you build connections between information that may never have been possible before.

Predicting future sales or market demands.

Top tools for data analysis