Creating a Vision for Data Integration Modernization
Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance. It is perhaps no surprise then, that the value of all the world’s data is projected to reach$280 billion by 2025.
As the value of digital commodities has risen, so too has the sophistication of cyber-criminal attacks. For this reason, it is now more important than ever for businesses to be scaling up their digital transformation. You must know what vulnerabilities lie in the data structure of your organization if you are to protect it adequately.
For this process to run smoothly, businesses must get to grips with the realm of data integration. Essentially: how can you transition from legacy data systems to modern ones?
Data integration modernization can be a tricky process, especially when dealing with vast amounts of datasets and formats. Feeling overwhelmed by all this information? Well, this article is for you. Today we will be talking about what data integration is, how companies can do it effectively, and what tricks you should be using to modernize the process.
Data modernization is a broad concept, but you can think of it this way: it is all about making data work for your company in the most efficient way possible.
How you choose to achieve this is up to you and the needs of your company. Many people associate the term ‘data modernization’ with simply moving datasets to a unified platform on the cloud. However, as we will explain later, there is more than one way of going about this.
Modern data solutions allow companies to scale without limitations and draw analytical insights from their processes. For example, you may want to implement a productivity tool to determine who your key players are and when they are most active. This data could be collected via aUCaaS platform. Later, you may choose to integrate it into a UEBA cybersecurity solution.
To retain a competitive advantage, businesses must always be looking for ways to modernize their data infrastructure and processes. This will help processes run with greater efficiency, maximizing company productivity and minimizing unnecessary expenses.
Therefore, you can think of data integration modernization as future-proofing your business for a competitive digital world.
While this might sound great on paper, implementing these solutions may seem like a mountain to climb! However, you are not alone. Here are some of the biggest hurdles facing organizations in the realm of data integration:
Every day, your company likely produces an unfathomable amount of data. Keeping up with this torrent and storing it in the correct location for analysis can be a tricky task. For instance, you don’t want to be storing all of your data on company premises, only to find out you are one hard drive away from running out of space!
For this reason, you must have adequate storage facilities that are secure from humans and the elements. The alternative is to search for a cloud-based, third-party service that will store it for you.
As your organization expands and brings in new processes, so too will the variety of data you are collecting. For instance, staff training tools may have important analytical value for understanding the challenges facing your employees.
