1. Flexible pricing
SaaS — or Software as a Service — platforms provide various pricing levels (tiers) that allow you to move up or down based on a number of factors. This allows the flexibility to start at one place and move to another as your business grows or retracts. Traditionally, enterprise platforms are fixed at an annual set price, where customers would be locked in for a given time, giving no flexibility to the ever-changing environment. With a SaaS platform, you don’t need to worry about making decisions in your business that may affect your tools downstream.
2. Automate data stack
Instead of owning, maintaining and supporting the essential data stack components of collection, management, and visualization, SaaS analytics platforms package up all of the heavy lifting to get data from point A to point A-ctionable :
- Data collection from best-in-class platforms
- Automated data preparation for report-ready use
- Data storage, maintenance and security
- Cloud-based and accessible everywhere
- Industry-best metrics
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Today, analytics is one of the most critical pieces to effectively running a business. The rate in which you can continuously understand your customer data proves how successful your company can be. Companies are constantly pivoting and competition is ever-increasing, there’s not enough time to build complicated analytical frameworks from scratch. Instead, companies are looking for modern, out-of-box solutions to give them a head-start and an opportunity to scale as fast as their growth. These solutions need to be built in today’s modern data stack with the ability to tap into the flow of data and provide outputs as easy as flipping a switch.
3. Prebuilt dashboards
The most critical stage of the analytics process is the output. It’s the ability for users to be able to use, interact and make decisions on data. Traditional enterprise visualization platforms like Tableau, Looker and Domo provide the environment for hosting dashboards, but still require the development resources and skills to actually build and publish. SaaS analytics platforms — like Glew.io, Rubix3.io, and Polar Analytics — where data is properly configured into prebuilt visualizations, focus on instantly standardizing metrics into configurable charts and graphs. Now, customers can focus on dynamically filtering views based on preference and gain powerful insights from the start. They spend less time focusing on building, operating, and maintaining and more time on analysis.
Summary
Direct-to-consumer, subscription and e-commerce companies are experiencing high-growth and continuous customer engagement. With that, comes a sizable amount of data. This data can be extremely valuable to the company in ways of knowing what customers to acquire, how to spend marketing dollars, and what products or services to focus on. By leveraging a SaaS analytics platform, companies can focus more on executing activities that drive performance and less time developing and maintaining technology. Removing the time, cost and complexity and getting all the functions needed to action on their data. With Rubix3.io, you can instantly integrate your most important data platforms into an all-in-one platform with prebuilt dashboards, instant KPIs, emailed reports and data exports. Get started today at rubix3.io and begin harnessing the power of your data.
