What is in Store for Data Quality Management?

Data has never been more important than it is now. The demand for it has also never been higher. It’s thus vital for us to take a more in-depth look at what we can expect to happen in the world of data quality management. 
With that in mind, we wanted to give you the most prominent trends and expectations on data for 2020 and beyond. Let’s take a look at what exactly is in store for data quality management:

The Next Big Thing Is DevOps

DevOps is a set of collaborative data management practices that focuses on improving integration, communication, and automation of data between consumers and managers of data in a company. 

Engineers are still at the beginning of wholly embracing DevOps, but according to most experts, it is the next big thing in data quality management. It is quickly becoming a trend that influences major strategic enterprise decisions.

The most important thing you need to know about DevOps is that it has a significant potential to improve data quality and customer experience by a large margin. It can thus also affect your company’s ROI, which is the main reason why executives are becoming more interested in DevOps. 

It is still too early to give any accurate predictions, but DevOps is most likely going to be an essential part of data quality management in the near future. 

Data in Real-Time

It is quickly becoming apparent to industry experts that the sheer amount of data that exists today will make many practices obsolete. The problem lies in the fact that the amount of data keeps increasing, and each organization has to handle more and more of it as time passes. 

All of that means that you need to start reacting faster to extract the value from that massive influx of data. That’s why traditional batch processing, where data is moved from system to system on a schedule, is quickly becoming a process of the past. Companies are starting to turn to event-driven solutions in order to handle the massive influx of data.

Elimination of Poor Data

Data quality has been crucial for a while, but many organizations largely ignored this fact. However, once revenues were at risk, most organizations started prioritizing data management. 

Now, with the ever-increasing speed and rising scale of data and many complex compliance regulations, companies are beginning to prioritize data much earlier. They are eliminating the chance that poor quality data will ever appear, and you need to do the same because once data quality problems ensue, it can already be too late. 

Automation Is Here

In the end, what is really in store for data quality management is automation. It is quickly becoming the top focus of organizations in 2020 and beyond.

If you’re interested in ensuring your organization is on track with data quality management, you need to consider data quality systems like the ones RunnerEDQ possesses.
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