Challenges to Data-as-a-Service
Data-as-a-Service, also known as DaaS, is one of the many available as-a-Service offerings available on the market today. It’s a method of provisioning and then distributing information to customers and consumers over a given network. In most cases, that network is the internet. DaaS uses cloud-based connectivity to facilitate many of its data transactions, enhancing both speed and mobility for enterprises.
While DaaS is widely known for its ability to improve the accessibility of business-critical datasets and information, it isn’t without its own unique set of challenges. From ongoing concerns about data management and data governance to security and privacy pitfalls, it’s important to know the applications and limitations of DaaS.
Being that DaaS is a cloud-based technique, there are always concerns surrounding data accessibility. While the goal of Data-as-a-Service is to improve consumer accessibility, it’s important to ensure that the consumer is the only one gaining enhanced access. As cybersecurity continues to impact the vast majority of technology, any enterprise or organization must utilize secure data management services that don’t allow for breaches, attacks, or infiltration. In many cases, the data parsed by a DaaS platform is sensitive in nature. If vendor security isn’t well-implemented or maintained, key data points may be unprotected. It’s important to be able to capably verify these vulnerabilities before they become a recurring problem.
In most instances, this is a conversation you need to have directly with the DaaS vendor. If applicable, request white papers and case studies with concrete examples that solidify the efficacy of the vendor’s data security protocols. Whenever possible, do a live demo so you can get a feel for any new platform and understand the suite of security tools that back it. Your DaaS selection must give you insights into your data delivery methods and performances without compromising your reputation or integrity.
It’s difficult to ensure connectivity between your organization’s data profiles and a DaaS platform or solution in many cases. As a result, you must find the right-fit applications for your unique enterprise needs. Otherwise, you run the risk of negatively impacting platform integrations. At its core, data governance relates to the management of data availability, integrity, and usability. It is also interconnected with data security in many ways as well. When you’re applying effective data governance levels through software, you’re doing your best to ensure that none of your data is compromised. This helps guarantee that your data is both consistent and trustworthy, even if you’re working at scale.
When you’re moving sensitive data into a cloud infrastructure, you may need to take additional compliance steps to ensure that your organization remains up to code. Of course, this doesn’t mean that you can’t host data in the cloud or that you can’t rely on cloud integration and management. It simply means that you’re going to have to follow some more precise data compliance protocols to ensure that all of your organizational information meets developing quality standards. In some cases, you may need to host your Data-as-a-Service modules on cloud servers based in specific countries. This will vary based on your location, organizational models, and your defined use cases.
In some cases, DaaS may limit the number of tools you have at your disposal. For example, you may be restricted to tools that your DaaS platform hosts itself. In other instances, you may be limited to tools that meet defined compatibility requirements. These are things to discuss ahead of time with your DaaS vendor.
While DaaS has a fair amount of challenges, it’s still one of the best techniques for ensuring a robust data flow. Enterprises and organizations across the world can leverage DaaS for stronger data management.