Data is one of the most valuable assets an operation can acquire for powering continual improvement, but not all data is created equal.
So, how can you ensure your data is fit for the future? Data contextualisation. By defining a standard format for your data, you can empower diverse processes with understandable and actionable data.
When collecting all the information from your operations, there is more than likely data from diverse sources stored in discordant formats. From here, sorting through and adding context in retrospect is an intensive process that may need repeating for each use case. So, what is the answer?
Right from the source
The work of providing context can take place at the edge instead, close to your assets and automated to drastically reduce workload. By doing this, it’s possible to standardise the data format, enabling smoother and more intelligible data for a wealth of applications.
Even if you wish to wait to engage in complex data analysis, the value of having understandable and meaningful data, rather than strings of numbers and codes, aids operators in extracting actionable information and insights.
Combined with different platforms, much greater flexibility and functionality are unlocked when using a dataset with commonality rather than one with disparity.
So, how is this work carried out at the edge? The answer is HighByte’s Intelligence Hub.
“The Intelligence Hub enables manufacturers to securely connect, model, condition, and flow valuable industrial data to and from IT systems without writing or maintaining code.”
By staging an instance close to your assets, the system processes your data to add context before it passes through to your broader data structures.
Standardised Operational Data
The gulf between the worlds of operational technology and information technology grows ever smaller. By making operational data more accessible and understandable, you can further bridge the gap and reduce system integration times, while rapidly leveraging contextualised data.
So, what does configuring HighByte’s Intelligence Hub look like?
As previously mentioned, the instances are staged at the edge, close to your physical assets, to receive raw data and relay data with added context. The real work happens in establishing what contextualisation looks like for your operation. Our team collaborates with stakeholders to understand the common things about your data sources and understand precisely how to maximise the value of your data, now and for the future.
Next is understanding how various assets across different version numbers and OEMs structure data. Our team will then map raw data to the desired standard format with reference data for specifics such as asset make, model, recipe codes etc.
Once your data is formatted in the most effective way for your use cases, the information then flows to your historian, a data lake, or any other innovative platform to the benefit of being entirely prepared for your digital transformation programme.
You can see this article with more on data ops on our Ideas Hub. Contact our friendly and experienced team today to learn more!