Running the platform on the cloud opens up even more benefits.
It’s predicted that 50 percent of the business intelligence (BI) and analytics software market will be deployed on the cloud by 2023. If you’re still running Tableau via on-premises infrastructure, you should consider the benefits of moving it to the cloud. While Tableau on Amazon Web Services (AWS) may look and feel the same, performance, features, and overall usability are on an entirely different level.
The three biggest benefits to Tableau on AWS:
What quickly becomes evident using Tableau on AWS is the increased flexibility. You can grow or shrink Tableau in minutes, as needed. Add users or scale up or down for an event or season, or any other variable, by adding worker nodes, eliminating the challenges of a fixed on-premises implementation.
Tableau users on AWS have no hardware to maintain, no data center to keep open 24/7, and no need for a round-the-clock workforce to hold it all together. With AWS, you can pay as you go—and only while Tableau is in use.
Running Tableau from AWS data centers, you benefit from a network architected to protect your information, identities, applications, and devices with automated security tasks. And AWS can help you meet core security and compliance requirements.
But that’s not all there is to love.
Tableau-on-AWS users away are blown away by the predictive power opened up to them by artificial intelligence (AI) and machine learning (ML). Future-based scenario modeling can now deliver unprecedented—and remarkably accurate—business insights into what might happen and when.
Scenario modeling has become a valuable tool in an unprecedented time like the COVID-19 pandemic. In many instances, companies rely on the institutional memory of people who have been with the business a long time (and could leave at any time). But even these seen-it-all veterans never saw anything like 2020. So companies once hesitant to pay attention to an AI/ML engine are looking around for answers about what the post-pandemic future holds. And AI has its hand up.
For instance, retail stores in Asia re-opened ahead of those in North America. In a recent project using Tableau on AWS, Slalom helped implement an AI/ML engine that defined criteria like square footage, opening hours, foot traffic, etc. around a brand’s stores in Japan. It then created cohorts of store matches in the U.S. based on metrics from Japan such as basket size, conversion, and total sales. The engine kicked out recommendations for specific U.S. stores for opening hours, number of employees, and other crucial considerations. The engine has been 96 percent accurate in predicting sales.
Beyond lift and shift: change management
Many of these Tableau-on-AWS advantages are downright futuristic. But it can still be a challenge to bring everyone in the organization along. What exactly does the workforce need to be aware of—and potentially change—to get the most out of the platform over the long term?
That's where Slalom's Navigator comes in. As an AWS ISV Workload Migration Partner, we have created a methodology that simplifies migrations of Tableau Server workloads to AWS by using Modern Cloud Analytics (MCA). MCA is not one-size-fits-all. Slalom analyzes each customer’s unique situation and where they are in their transformation journey. So, in addition to making sure the platform tech specs are in order, Slalom also helps with people, process, and insights—taking a holistic approach to make sure the features and services available on Tableau on AWS are fully realized, quickly adopted, and save money.
That people part is key. One thing that becomes clear with Tableau on AWS is that it’s more user friendly than historical, on-premises solutions. Because there is more autonomy for end users, more can be taken on by other teams. With automation, they can move away from core engineering to other parts of the business. This creates a more collaborative and better working relationship across all teams. In the end, that’s what a successful Tableau-to-AWS migration looks like: more satisfied users getting the most out of Tableau, while maximizing the value of data and analytics investments. There’s already a lot to love about Tableau, and by migrating data to AWS, you’ll be able to harness comprehensive business information at scale.