Data Management: The key to production data analysis
With evolving technology and the rise of the internet of things, manufacturing is becoming a connected process. This has made gathering production data easier than ever but making data management all the more necessary. It is often expected that manufacturers can gather, store, and then use data from nearly any process in their facility to improve production. Consequently requiring suppliers to sufficiently manage any and all data collected.
Data is growing at a rate of 39% per year… based on a study of 86% of Fortune 500 companies. It found that enterprises are left in a position where they have to deal with the result of this exponential increase of all types of data, and work out how to store and manage it effectively.
According to AEM, an upcoming trend in 2019 is the rise of data utilization. Companies will need to not only efficiently store information but “consider how best to go about using it to gain insights into their business and make actionable and informed decisions…” As such, production data analysis an has become an invaluable asset to improve manufacturing processes.
Data management allows “an organization to gain control of its data resources.” It is the key to successful production analysis since it acts as the bridge between manufacturing and business analytics. While consisting of many concepts, two stand out: metadata and data storage. While seemingly simple, they are vitally important aspects of this process.
A well-developed Data Management program within an organization has the ability to positively effect change around the administration and use of data assets across all levels, departments, and lines of business.
Metadata
To effectively utilize manufacturing data, understanding the Metadata is essential. “The simplest definition of Metadata is ‘data in context,’…It’s both the business and technical context around data.” This requires collecting production information and knowing how it will or can impact a business. For this to be successful, “Understanding the meaning of each term, each metric, each field in a database…” is vital. Even if all the information is defined, often the sheer amount of production information can result in “analysis paralysis or ending up with so much data that’s hard to imagine knowing what to do with it.” Which is why data storage is also so critical to this process.
Data Storage
How data will be used is related to where and what data should be stored. For example, if critical production data needs to be accessed or a regular basis for reports should it be stored on a live production server? Unless production requires it, no. Not only could the excess data potentially slow down a server, but running a report during live manufacturing can hinder production times. If data is successfully stored based on how it will be used, it creates an organized system for the vast amount of production information being gathered. Consequently making it easier to access for future analysis.
While only two parts of a larger system, metadata and data storage highlight how integral data management is to the future of modern manufacturing. In order to continue adapting to new industry trends, companies need to have a firm understanding of their production performance. Without a “well-developed” data management program, this is not possible.
Insequence Data Management and System Assessment
The Insequence Data Management Module copies databases in near real time, to a secondary server. This process does not interrupt live production and can be used to clear critical space off from main servers. As mentioned previously, this is a part of setting up an organization system to better handle the massive amounts of information gathered throughout production.
Additionally, Insequence also offers a system assessment and optimization service. This service reviews numerous aspects of a system, including system and database maintenance, providing a detailed report on their findings including suggestions for improvements.
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