We’ve now made it all the way to Part 4 of our deep dive into acronyms! Today, it’s me, Julia, who has the honor of writing this blog post. I’ll be in the marketing department alongside Mirjam for the next 10 weeks, so this probably won’t be my last post here! Right now, though, I think you guys know more about the different abbreviations than I do, but I’m excited to learn more alongside you!
In Part 3, we wrote about PIM and PCM—read the post here!
Abbreviation No. 1: DG
Data Governance
Whether it’s everyday life or work, it’s no secret that planning is essential. But the fact that we also need to plan how we use our data may come as a surprise to some of us.
But that is actually what data governance is all about: ensuring that all data within the organization is accurate, usable, compliant, and secure.
Think about it this way: your organization has a lot of data, and this data can be used to improve your business. But the question is, do you trust it? Data governance is about ensuring that you can rely on the available data so that you, in turn, can confidently make decisions.
Thanks to data governance, you can:
- Ensure that data complies with laws, regulations, and policies—such as the GDPR and the entire Cookie Act
- Make sure that no unauthorized persons have access to the data
- Rest assured that the available data is accurate
- A prerequisite for working in a data-driven way
The points mentioned above should be a top priority for all organizations today, as it is clear that data governance makes work much more efficient. Furthermore, there is a correlation between the success of data governance and a company’s overall success.
What is the current situation at your company? Do you have a handle on the quality of your data? If not, now is the time to address this, because it has been shown that when a company begins to define its data governance, it is actually building a core competency!
Abbreviation No. 2: DT
Digital Twin
“The digital twin lets us understand the present and predict the future”—that sounds almost a bit spiritual to me, but that’s not really the case here!
A digital twin is an important tool that helps engineers and operators understand how products perform their tasks, as well as how they will function in the future.
A digital twin is a real-world object that has a copy of itself in a “computer environment.” A digital twin can be anything from a vehicle or machine to a house, tunnel, or even an entire city. Using sensors, the real-world object can report data to its digital twin. In this way, the digital twin allows you to test how the real-world object will react to various stimuli, and you can immediately see the impact of any changes. You also gain insights into how to optimize the real-world object. This approach is highly cost-effective and also very beneficial for the environment.
Digital twins help us to:
- Troubleshoot equipment located far away
- Managing complexity and interconnections within systems-of-systems
- Build a digital backbone and integrate different systems
- Visualize products being used by real users in real time
The greater the precision achieved through the use of measurement values, information, and parameters—combined with shorter intervals between measurements—the more complete the twin will be.
To try to put ourselves in a real-world scenario: since an engineer’s primary task is to design and test products, it is also important to keep the entire product lifecycle in mind. Whether it involves cars or household items, they have a responsibility to ensure that the product they design is fit for purpose, can withstand wear and tear, and is well-suited to the environment in which it will be used. If the task were to test a new braking system for passenger cars, one could perform a computer simulation (the digital twin) to gain an understanding of how the system would function in real-world scenarios. It goes without saying that this is advantageous not only because it is faster but also because it is much cheaper than having to build cars to test this. The digital twin truly streamlines the work.
And that's not all—the digital twin even lets you know when it's time for maintenance!
AtSQL Systems, we are helping to lay the groundwork for the digital twin; we will return to how we are doing this and what it means from our perspective at a later date.
Do you work with data governance or digital twins? Or are you curious to learn more? Email us at nyfiken@sqlsystems.se. Follow us on LinkedIn and Facebook to stay up to date!
