Cloud analytics has become a popular buzzword in the business world, but what is cloud analytics? The term “cloud” is used to describe anything that is delivered over the internet. In the context of analytics, this means software and data that are hosted by a third party and accessed through a web browser or mobile app. The benefits of cloud analytics include increased agility, scalability, and cost savings. With cloud-based solutions, businesses can get up and running quickly without any upfront investment in hardware or software. The scalability of cloud-based solutions also means that businesses can grow or shrink their operations as needed without having to worry about capacity constraints. And finally, because the provider hosts the software and manages all of the infrastructure required to run it, businesses can enjoy significant cost savings.
Cloud analytics is a new and upcoming field that is different from traditional analytics in a few key ways. Keep reading to learn more about how cloud analytics differs from traditional analytics and why it is becoming the preferred choice for many businesses.
Remote Servers
One big difference between traditional analytics and cloud analytics is that traditional analytics is typically done on-premises, which means that the data is stored on servers within the organization’s network. Cloud analytics, on the other hand, is done using remote servers. This means that the data is not stored on servers within the organization’s network. Cloud analytics is a great option for organizations that want to take advantage of the latest technologies without having to invest in the infrastructure themselves. It is also a good option for organizations that want to reduce their carbon footprint because it reduces the amount of data that needs to be stored on-premises.
No Software or Hardware Installation
Traditional analytics requires software and hardware installation while cloud analytics does not. With cloud analytics, all you need is a computer with internet access to start analyzing your data. Cloud analytics also makes it easy to share and collaborate with others, as all of your data is stored in the cloud. This means that you can access your data from any computer or device with internet access.
User Friendly
Traditional analytics gives you control over the data and process, but this often requires more IT knowledge and familiarity with the technical aspects. You also need to train a team of employees to use the traditional tools. With cloud analytics, the software does all of the work for you, meaning even nonexperts can get the insights they need with ease, which makes it the more user-friendly option of the two. Cloud analytics is also a user-friendly way to share your data with others inside and outside your company. You can share your data in real time or you can store it and share it later. And you can share it in a variety of formats, including charts, graphs, and tables.
Accessibility
Traditional analytics can be expensive and time-consuming and can limit the accessibility of data analytics to only those employees who are physically located at the business premises. Cloud analytics allows you to store your data in the cloud and access it from anywhere at any time. This makes it easy for you to collect data from a variety of sources, both internal and external to your company. And because the data is stored in the cloud, you can access it from any device, including your computer, phone, or tablet. Whether you’re at home or in line at the grocery store, you can stay on top of your data analytics.
Data Governance
Traditional analytics solutions are installed on-premises, which means that they are managed and accessed locally. This makes it difficult for users to access and share data, which can lead to data governance issues. For this reason, cloud analytics is a much better way to improve your data governance. With this type of analytics, you can easily keep track of your data and make sure that it is always up to date. Cloud analytics can improve your data quality and ensure that you are always getting the most out of your data.
Scalability
With traditional analytics, you are limited by the power of your computer and the amount of data you can fit onto it. This can be a major issue for organizations that are dealing with large data sets. The cloud is able to provide more scalability because it is a distributed system. This means that the power of the cloud is not limited by a single computer. Instead, the power of the cloud is spread out among many different computers, which makes for a more efficient way to handle large data sets. You can also add more users or data as your business grows, which is a major advantage for businesses that are expanding rapidly. And because the software is hosted in the cloud, you don’t have to worry about upgrading your hardware or software as your needs change.
Cost Savings
Another advantage of cloud analytics is that it’s often more affordable than traditional analytics. With traditional analytics, you need to purchase and maintain your own software and hardware, which can be expensive. Cloud analytics, on the other hand, is typically a subscription service, so you only pay for what you use.
Security
With traditional analytics, data is stored on-premises in the organization’s data center. This means that the organization is responsible for managing and securing the data, which can be difficult and exhausting to keep up with. With cloud analytics, the data is stored in the cloud, which means that the organization does not have to worry about managing and securing the data. A cloud provider will use all of the latest security and encryption technology to protect the company’s data, so there is never any concern about unauthorized users accessing important assets.
The future of cloud analytics is bright. More and more organizations are moving their analytics workloads to the cloud, and providers are continuing to invest in new features and enhancements. In particular, we can expect to see more innovation in the area of machine learning and artificial intelligence, which will enable businesses to get even more value from their data.
