Enterprise data management has expanded quite a bit in the past few years, and it continues to stand out as one of the most versatile industries. With that being said, there are multiple trends emerging in this industry, so here you have a list with some of the most important ones.
Machine Learning And AI
The great thing about cloud data management is that with help from AI and machine learning, data processing and management become a lot easier. AI helps bring in automation and proper optimization, which in turn helps businesses immensely. Data is processed faster and with amazing results, and the return on investment is second to none.
Multi-Cloud Data Strategies
Cloud data management is preferred by a lot of businesses, and multi-cloud, as well as hybrid systems, are continually expanding.
Multi-cloud is great because it provides diversification. And solutions like private cloud storage are ideal when it comes to safeguarding any assets properly.
As enterprises step up their migration to the cloud, they are increasingly implementing a multi-cloud strategy. 94% of enterprises have a multi-cloud strategy and 86% have a hybrid cloud strategy, according to research.
Blockchain Support
Blockchain technology is very helpful because it brings in a lot of enterprise data management benefits. For starters, you have audit trails and asset tracking.
At the same time, it helps maintain very secure transaction records. That helps quite a bit, and it conveys the best results and experience. It’s one of the systems that offer you detailed benefits and results, and the quality as a whole is among some of the best.
Augmented Data Analytics
Augmented enterprise data management has the potential to not only reduce manual data management but tasks that can be performed quicker and with much better results. This translates into more detailed, dependable solutions that can help your business grow and expand.
According to Gartner, new business systems will adopt continuous intelligence that uses real-time context data to improve their decisions.
Research says, by the end of 2022, augmented data management could reduce manual data management tasks by 45%.
Data Fabric
Recently, a lot of people in EDM or enterprise data management started integrated data fabrics into the mix. This is a good idea because it helps manage data sharing, integration, and governance. Everything is shared via a comprehensive architecture, which in turn conveys incredible benefits and a very good value for money.
Data fabric reduces the time for integration design by 35%, deployment by 35%, and maintenance by 70% because the technology designs draw on the ability to use/reuse and combine different data integration styles.
By implementing data fabric, enterprise become more agile enabling greater access and self-service, more cost-efficient by 38%, gaining faster insights, gaining a better understanding of the data, enables informed and accurate decisions by 33%.
Data Security
Data security is crucial when it comes to enterprise data management services, for a variety of reasons. It’s imperative to ensure that there’s no data loss since this can be catastrophic for a business. On top of that, having a great security infrastructure can help alleviate concerns, while pushing the limits and experience to the next level.
As you can see, enterprise data management continues to expand, and it has some powerful, incredible trends that make it even better. Following these trends and staying up to date with them not only helps us better understand where enterprise data management is going, but it helps pave the path for some new, better solutions in the future. If you want to achieve great results in the enterprise data management world, then it’s a very good idea to start implementing these ideas soon. Not only will they convey better results, but you will find it easier to tackle topics like enterprise or cloud data management in the future.