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How AI Decision-Making is Improving Enterprise Outcomes
Once a workflow is built, users want to share, secure, schedule, and monitor the assets that have been built. Alteryx Server allows users to publish their workflows to a central location where the workflows can be stored, shared, and controlled in a safe and “enterprise-grade” solution.
Challenge
- The IT infrastructure of MyWhoosh where the Alteryx Server platform was hosted was in an on-premise datacenter which was designed to be scalable and robust with multi node physical clusters including the server, storage and network components. However, most of the physical hardware was quite old and not equipped with the latest generation of physical servers.
- Frequent hardware crashes and portal downtime kept troubling the availability of the Alteryx Server application. Assigning a touch hand support person to power on the hardware that was down seemed quite impossible due the restrictions during covid period. Hence, MyWhoosh wanted to look for another viable solution.
- Though the hardware setup at MyWhoosh was well equipped to meet the occasional spikes in the traffic, it was observed that over a course of 6-month time, most of the IT infra was underutilized than predicted. It was realized that spending huge amount of money on an old hardware plus software maintenance, license costs, internet bandwidth, datacenter cooling and maintenance, touch support personnel and electricity costs – were keeping the business operations challenging.
- There was an attempt by MyWhoosh to select a cost-effective solution that can host Alteryx Server application servers, web servers and archival data. This way IT infra can be re-provisioned to host sensitive data on-premise and the rest on the cloud, thereby reducing the overall physical hardware costs spent on a yearly basis.
Why AWS
- MyWhoosh decided to migrate Alteryx Server, database servers and archival data to AWS.
- The Alteryx Server’s AWS architecture includes Amazon Elastic Compute Cloud (Amazon EC2), that provides complete control of its computing resources, updates to tables in Amazon Relational Database Service (Amazon RDS) and AWS Elastic Load Balancer was used to distribute the traffic to the underlying EC2 instances based on the load.
Benefits
- MyWhoosh uses AWS services to provision infrastructure and deploy the Alteryx Server platform to other departments within it. In addition, the Alteryx Server resources that are no longer required to be run all the time are made to auto shutdown thus saving cost. MyWhoosh reported a 30% cost reduction after implementation of AWS for the Alteryx Server platform.
- The implementation of Alteryx Server on AWS made MyWhoosh confident in the security of its data, and its accreditation team is enthusiastic about the monitoring and auditing capabilities provided by AWS tools. With the implementation of IAM roles, MyWhoosh IT team was able to isolate systems and tightly control user accesses. These capabilities were harder to achieve within the existing infra but were available out of the box with AWS
- By adopting AWS to host the Alteryx Server platform, MyWhoosh has been able to innovate and experiment to a degree previously impossible. For example, MyWhoosh compared the performance and cost-effectiveness of three different cloud solutions. Without moving to the AWS, the costs associated with running an outdated on-premise hardware would have creeped up and the alternative way of upgrading the existing on-prem infrastructure to the latest hardware models and then hosting the Alteryx Server application on top of it would have taken months.
About Alteryx Server
Alteryx Server gives organizations the ability to access, manipulate, analyze, and output data. The Alteryx Designer product allows people to build workflows that step through complex processes logically. Some workflows are performed once to answer a question; some are performed many times to automate processes like reconciliations. Other workflows are built to refresh complex dashboards built with Alteryx, Power BI, or other platforms

In the evening, we had a wild-theme based gala party, and all got dressed up in sync with the theme, ‘Just Go Wild’. It was fun to watch everyone from the Manager to the employees dressed up in the same theme. We had an exhilarating DJ party manned by Darryl Gaulbert which made us all shake a leg to the tune. We danced and roared to the music. It was indeed wild!
The following day after breakfast, we met our founder Indumon Das, who had a chat with us regarding the journey of Beinex and his vision. It inspired us all to have a dream and pursue it fearlessly. Some of us accessed the infinity pool late afternoon and had great fun swimming and playing pool ball.
It was a blissful evening based on an ethnic wear theme. We competed for the best ethnic outfit of the evening. The different hues and styles made the evening stunning. Everyone flaunted the traditional wear in style. We had a musical evening with a live barbeque and a sumptuous dinner.
Finally, the day of leaving Munnar dawned; March 19. We all had breakfast in the morning and packed our backpacks. Most of us were pretty reluctant to leave Munnar as we were not ready to lose the bond we created together. Nonetheless, we vowed to stay connected. We boarded the buses around 10 AM and waved goodbye to Munnar.
When we reached Edapally in the evening, a surprise goody bag was waiting. It was an impressive and admirable gesture from our firm. Beinex has a culture of nurturing growth and spreading positivity, and employees’ comfort is the priority here.
Yes, we had a fantastic time together. After this retreat, our rejuvenated and motivated minds are ready to bounce back to work with enhanced spirit. We are looking forward to more team building sessions in the future to meet each other more often.
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This feature provides a complete picture of the data and how each data is connected.
Another use of Tableau Catalog is linear and impact analysis. This not only shows which assets will change but also who will be affected by it, which makes work easier for many and avoids wastage of time.
EXPLAIN DATA
Tableau 2019.3 is up with a new Al-driven feature called the “Explain Data”, which helps people go from the “what” of the data to the “how” of it. With explain data, we can get an explanation for each unexpected value in the data by just a single click. On selecting the desired data point, the ‘explain data’(lightbulb) icon appears.
For each value there might be a number of explanations. Each of these explanations are checked and only the most likely ones are provided as visualizations.
Now these visualizations can be used for further explorations.
TABLEAU SERVER MANAGEMENT ADD-ON
Organizations that run critical deployment of Tableau Server at a large scale, have mentioned concerns over manageability and scalability. They have been in search for tools that could organize the management process in an efficient way, which could save a lot of time. Tableau solved this problem by introducing the Tableau Server Management Add-on – a new feature designed to help organizations manage the deployment of Tableau Server. With this, they can quickly react to the changing needs of the business as well as save time by organizing the management process in the most efficient way. Tableau Server Management Add-on, which makes running the critical deployment of tableau at a large-scale server much simpler.
The server management add-on feature can help in optimising the performance of deployment by customizing which nodes process background jobs such as extract refreshes and subscriptions and isolating these workloads, to specific nodes. This makes it easier to scale deployments to the needs of their organization.
This feature has a few tools, including two for better reliability and scalability and one for content migration, all of which helps the organizations to govern their data effectively.
If you are interested in learning more about the latest Tableau release and use cases, please contact us at