In 2019, the average salary was around $115,000 for a data architect.
If you’re interested in finding and keeping a job to make that salary, you might be wondering what key data architecture mistakes to avoid.
Thankfully, we compiled a list for you, so make sure you keep reading!
1. Unorganized Data
First, you should focus on organizing business data. Companies and their requirements get more complex, so if you don’t have it organized now, it’ll be difficult to do it in the future.
Even with automated data solutions, you’ll still have tons of data to go through and make a lot of mistakes. Ensure that your data is comprehensive and reflects the company and the volume as well.
2. No Structure
You should design a modern data architecture so that your company has some structure.
For example, many architects will treat a website without any structure, and this can make it hard to find links and other information. If there are no opportunities to present the information in a good structure, everyone is going to be lost.
When you have structure, you’ll be set up to succeed.
3. Low-Quality Data
While you’re organizing and structuring data, make sure that it’s high-quality data. Organizing it will show your abilities, but it won’t solve any of the business’s problems.
You should always go through the data to make sure it’s good, and if it is, then you can start organizing it. Don’t be a hoarder and get rid of any data that will never be useful.
4. Ignoring Data Governance
Data governance impacts the value of the data that goes around in the company.
It’s all about making sure that the right team has the right data. However, it also tasks everyone with some responsibility to make sure that the quality and security of the data are protected and secure.
5. Outdated Strategies
Every industry has gone through changes, and some of them may still be holding onto outdated data that is affecting the quality of the company.
You should change the business strategy to make sure that your data process will go smoothly. Make sure that it’s scalable for when the business keeps growing.
6. Being Too Rigid
Speaking of outdated technology and strategy, make sure that you focus on being adaptable. Make the best opportunity to be dynamic and instantly shift to new company goals or implement a new tool. Even if there is an adjustment in the culture, you’ll have to adjust.
The change may not always be linear, so if you can’t adjust in a different way, you’ll have wasted a lot of time and will have to start over.
Discover More Common Data Architecture Mistakes
These are only a few common data architecture mistakes that you should avoid, but there are many more to keep an eye out for.
We know that coming up with a data architecture strategy can be overwhelming, but we’re here to help you out.
If you enjoyed this article, explore our website to find even more information!