Mr. Jim Desrosiers President of Data Acuity explains how to go about establish a Unified Visualization of a manufacturing process using Catania Oils as a case study.

Video Transcript

[0:00] Video presenter

In this module of manufacturing data analytics, we will focus on unified visualization. Catania Oil Vice President of Operations Dan Brackett explains

[0:21] Dan Brackett Catania Oil Vice President of Operations

Once we started using ICONICS and collecting data, maximizing OEE just really opened up the opportunities for us to use the system for other things. We're able to collect information out at our rail yard, from our trucks in the yard, from our fork trucks, and our production lines. Not only are we looking at efficiency, but we're also looking at data transfer between departments concerning items and concerning output.

[0:52] Jim Desrosiers President and Founder of Data Acuity

Like most projects, our initial discussions with Catania Oils centered around a single specific challenge. In this case, for accurate and real time knowledge of production counts. We typically recommend putting the initial challenge aside to sketch out a long term, three to five year vision of data consumption, ultimately leading to the knowledge and wisdom we will gain from information coming out of the automation system. After considering that longer term visualization of data and information, it is important to then turn back to the single well defined and manageable project that we started with and then get started on that one initial piece. If we take this approach, we can build a modular, flexible, adaptable data architecture, which allows us to create one step at a time a unified visualization. This is what Catania Oils now has throughout their entire organization. It has proven to be a manageable, maintainable, and cost effective approach to automation data.