Defining SAS (Statistical Analysis System)
As a software for data analytics, SAS boasts a strong combination of packages designed for data management, analysis, and predictive modeling. It is your priority if your task is to facilitate a healthy decision, in the meantime, helping with the successful processing of datasets and getting useful insights.
Always keep its fundamental points in your mind, such as predicting, data mining, and machine learning. It is a good tool with the help of which data manipulation and reporting can be easily carried out. The tasks in these fields seem easily handled when SAS is your assistant. It is widely used in big corporations and famous organizations where decision-making should be data-driven, ensuring business intelligence built on advanced analytics. It has high popularity because of its easy-navigating and interactive dashboard, the details are straightforward therefore it is a preferable option not only for technical but also for non-technical users. Organizations working in the sectors of education, finance and healthcare are very home to SAS, and its productivity has already been proved.
Main features:
- Up-to-date predictive and statistical analytics
- Smoothly integrated Artificial intelligence and machine learning
- Data management and transformation capabilities
- Advanced reporting tools and an interactive interface
SAS has its typical cases of use; in addition, it is typical to certain industries as manufacturing, the public sector, finance, healthcare and etc.
Advantages & Disadvantages of SAS
Advantages
- It is a high-level tool for handling big datasets, implementing complex data analysis tasks.
- It can be the very basis of statistical analysis on which a thriving business can be built.
- It provides flexibility to businesses with its technique of customization.
- It offers comprehensive data security and compliance control for various industries.
Disadvantages
- For its installation, maintenance, or upgrading, it can require well-experienced and qualified personnel.
- It requires intensive and strong resources from dedicated IT personnel 24/7 for unimpeded ongoing maintenance.
- Its scalability can be limited since for enlarging extra infrastructure and high costs may be required.
Defining SaaS (Software as a Service)
Short for Software-as-a-Service, SaaS is a program delivery model. Its application is hosted by a vendor team and applied over the PC internet. This model has a good chance of eliminating the absolute necessity for some hardware requirements and, costs of infrastructure. It is more or less deprived of IT complexities in management, and when the business size is classified, it offers easy tactics of economic scalability.
SaaS is frequently found alongside subscriptions with access that is flexible and ready for different conditions without much effort. Its platforms ensure availability to applications from any device with the simple help of web browsers. Access to applications is over the internet without installing and maintaining them. It is notable here that updating, performance, and security depend on the provider.
Since it is hosted online, it is often called web-based software. Others call it on-demand software, taking into account that it is possible to use it whenever you find the necessity to use it and stop it when you have finished.
It is worth mentioning that with the help of SaaS, you will never face difficult-to-deal software setups. Also, it is a great means to handle the situations regarding hardware management. The accessibility of SaaS is special, and customers really like the opportunity of SaaS not buying, installing, or updating any software or hardware. To have access to the SaaS, only an internet connection is necessary.
Key features of SaaS:
- Cloud-Based Access
- Subscription Model
- Automatic Updates
- Remote Accessibility
- User Management
- Access Control
- APIs and Integrations
- Usage Analytics & Reporting
- It can be very easily scaled up
To understand deeply what SaaS is, you can explore famous SaaS company examples that will help you differentiate them from other companies.
Choosing Between SAS and SaaS
Let’s suppose you have an apple and you need to cut it up into slices. Sure, you need a knife here, not a spoon, a fork, or something else. So, you need only one thing to cut it. This is the case when the business owner knows what to do and which tool to choose depending on the purpose. The story with SAS and SaaS is, however, the other way round. They are two different tools, designed for non-identical purposes; in other words, the knife is one of them, and the fork – the second.
Thus, before preferring one of them over the other, analyzing each of them and going deep into their peculiarities is a must.
SAS solution providers and SaaS solution providers
SAS solution examples with their domains
SAS Institute – sas.com
Deloitte – deloitte.com
Cognizant – cognizant.com
SaaS solution examples with their domains
Salesforce – salesforce.com
HubSpot – hubspot.com
Zoom – zoom.com
I hope these examples will help you differentiate the terms between SaaS and SAS.