Businesses and IT leaders can use data center modernization to consume and interpret data so they can predict market shifts and improve business outcomes. Obtaining actionable insights from company data gives an organization a competitive edge. With a CentricsIT data center consolidation plan, organizations can use data modernization to provide end-users with optimal data experiences. These include meaningful, actionable insights, API-driven application interfaces, and the ability to adjust to the real-time needs of a changing business environment. We have compiled a list of four key aspects concerning data modernization that highlight its importance in business success.
Data center migration is a significant undertaking that necessitates meticulous planning and execution. While there are several steps businesses can take to make technology migration as painless as possible, the process becomes more challenging when they try to reproduce their on-premises settings rather than embracing the benefits offered by their collocation provider.
Exploring data modernization alternatives early in the planning phase can assist IT managers in identifying new methods to expand their infrastructure while increasing network performance and efficiency. When moving to a carrier-neutral data center, for example, companies may decide that some data assets should be stored on different cloud platforms while others should remain on high-density servers within the facility. This makes the transition run smoothly because less effort is spent working out how to integrate inefficient systems into the data center.
Heightens Access Control
One of the essential criteria in deciding who has access to data is by knowing where it is stored. Since the applications accessing the data may not have uniform security authorizations, it can be difficult to oversee how that data is utilized once it’s dispersed across various network systems. This also means that IT administrators won’t know that sensitive data is stored in an environment with inadequate security.
Ensure that private assets and sensitive data are subject to strict controls. This helps prevent unauthorized access and should be a top priority in any data modernization endeavor. Data can be stored in a variety of locations, including cloud environments that use a zero-trust network architecture, rather than just on local servers. IT administrators should rethink how information is accessible and who should be allowed to do so by migrating technology from an antiquated on-premises solution to a well-connected data center environment.
IT infrastructure is typically viewed as something that has already been paid for, and organizations are unwilling to invest in new technology. Unfortunately, inefficient power and cooling, as well as low uptime reliability could be costing them up to 55 percent more than an alternative solution. Migrating that infrastructure to a collocation environment could result in significant cost savings, but it also presents an opportunity to implement an even more cost-effective solution. IT administrators can dramatically reduce operational costs by prioritizing data modernization and moving some data to cloud environments rather than retaining it on infrastructural facilities. Data modernization may significantly minimize unneeded server sprawl, lowering costs and allowing IT departments to focus on innovation rather than maintenance.
For an organization to consume any data, it should be able to have the right applications to access it. When you cannot easily share data across a network and between different systems, then it will take your systems longer to analyze as well as process information. As a result, employees are frequently required to physically transfer data between systems, posing a variety of security risks as well as the possibility of data duplication or loss. In such instances, organizations can either replace their systems or shift them into a more flexible environment. As such, data center migration makes it possible for IT managers to set up a flexible framework that allows them to maximize the potential of the available data.
Overall, by effectively modernizing data, businesses can improve the speed with which new services and products are delivered. This also allows organizations to easily adapt to the ever-evolving business requirements. This, in turn, helps an organization stay competitive.