Alteryx One

In my organization, I am creating workflows in Alteryx , so I am using this tool for creating the workflows as my organization is using this.

We usually use Alteryx  for big workflows; our data is stored in different tables, and we combine those tables into one tool to create a workflow and generate one output, such as a daily report that we format and apply conditional formatting to before generating the report. With this report, we can also create dashboards, and Alteryx allows us to create TWBX and Excel files, making it a very useful tool for complex data processing through simple drag and drop.

What I appreciate the most about Alteryx is that while we could also create similar workflows in Tableau, every change in Tableau requires deployment from a different team, but with Alteryx, everything is dependent on us, allowing us to create manually and send files without impacting outputs whenever changes are made. The speed is also very good, especially when processing large datasets.

The benefits I have seen from using Alteryx include processing data much faster than previous methods, which took too long in Excel or other formats; Alteryx dramatically improves speed and accuracy, with many features that make data transportation easier, making it a standout tool for us.

I think Alteryx could be improved by providing features to directly send files to SharePoint , since in our large organization, much data is stored there, but currently, Alteryx does not support this capability.

The price is quite high, which is why there is a limitation on licenses, and not everyone has the right to use it, so if they could decrease the price, more people could use it easily.

I have been working with Alteryx for more than four years.

Regarding stability and reliability, Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10, as low specifications will hinder usage.

The scalability of Alteryx is good.

I utilize manuals and guidance provided by Alteryx; however, I have not read them fully as I learned from seniors, but they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.

Before using Alteryx, I used Excel and another tool called Quest for creating reports, which took more than one or two hours to generate just one report, but now with Alteryx, it takes just five minutes.

The initial setup process involved our organization purchasing Alteryx, providing us with a license key that we use to run Alteryx. The key is for one year and needs to be renewed annually, and we only need to enter the key along with our name to activate it. We also create a connection with ODBC for setup between Alteryx and SQL.

I found the initial setup straightforward without any challenges, requiring just the activation key to get it working.

I participated in the initial setup and deployment of Alteryx.

I am not aware of the pricing and licensing specifics of Alteryx, but I know it is very expensive.

I did not evaluate other options or vendors before choosing Alteryx.

I believe Alteryx is a strong solution because it is easy to understand and use, allowing us to teach anyone; the speed is another excellent feature since my organization handles complex and massive datasets, so using Alteryx has proven to be one of the best options available for processing big data effectively. I would rate this solution an eight out of ten.

My main use case for Alteryx  is to automate quite a few ETL workloads, and Alteryx  provides a great platform in bringing those data integration aspects. We have been using Alteryx as a self-service data and self-usability data integration tool as well.

A quick specific example of an ETL workload I automated with Alteryx is the recent automation of the PDX and patient care systems data coming out from some legacy ecosystems that are built in-house through Alteryx. This was a modernization aspect wherein we created a brand new ETL workplace and workflow, which got rid of Informatica and then brought Alteryx in that place in order to modernize the entire framework.

My main use case with Alteryx also includes working on another area where we are trying to bring in quite a few telemetry information as well. This has been a core centralization tool. The data we are bringing is from a diversified set of applications and sources, which includes several cloud sources such as Azure , as well as on-premise sources such as Salesforce  and the information that we are getting from ServiceNow  and SAP as well.

The positive impact Alteryx has had on our organization includes our ability to automate quite a few complex ETL or data integrations, reducing coding by around 75 to 80 percent. By utilizing the features of Alteryx, we have eliminated very complex and lengthy codes previously needed for data transformations. Now, using Alteryx's built-in features, we achieve this seamlessly, and getting additional features such as built-in AI and spatial analytics has been particularly helpful in automating many workflows that we previously managed manually.

The impact on my team after switching to Alteryx includes significant time savings and an improvement in ROI. After implementing Alteryx, we calculate our ROI to be more than 25 to 30 percent. From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars, which is a significant benefit from implementing Alteryx.

The best features Alteryx offers include quite a lot of areas. Typically, some of these core areas include the drag-and-drop data preparations that we are getting here. We also get the Generative AI and LLM integrations. Automated reporting is another area where it provides built-in dynamic dashboards which can be created for generating insights. Being from an analytics background, I benefit from the spatial and advanced analytical features provided by Alteryx, which perform location-based mapping, logistic optimizations, and predictive and machine learning algorithms. I find seamless data blending, which easily combines disparate data sets from spreadsheets, clouds, various applications, and APIs as well.

From a Generative AI perspective, we are using it for quite a few documentation purposes related to the data. We have also integrated quite a few of this prompt engineering in order to define the workflows. From an organizational perspective, we heavily rely on OpenAI. The integration that Alteryx provides securely connects to OpenAI, where we are running our massive data sets along with PDX and patient care systems integrations. From a data preparations point of view, using the drag-and-drop features, we utilized over 50 automated tools to clean and transform the structured data without complex scripting, which got rid of quite a few messy scripts.

Alteryx integrates very well with other tools and platforms in our environment such as ServiceNow , SAP, and Salesforce . We have a large number of applications defined using those platforms, and we haven't experienced major issues integrating them with Alteryx. There are built-in APIs and connectors provided by Alteryx that facilitate seamless connections, and we rarely see production outages, maintaining an SLA of more than 99.999 percent. The integrations don't require much time and are very seamless.

One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements.

Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data.

The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me.

We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.

Alteryx is a tool I started using back in 2014, so it has been quite a few years now. It has been more than 10 to 12 years.

We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.

Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data.

Customer support from Alteryx has been amazing. I would rate it a perfect 10 out of 10.

We were using Informatica before adopting Alteryx.

The switch from Informatica to Alteryx was primarily based on usability, cost, and features. We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.

The ease of learning and adopting Alteryx by my team has been quite friendly. Alteryx provides various resources including its own library and documents. It relies more on tools than on coding, making it pretty much easy for my team to learn and implement simultaneously. Learning has been a very positive experience so far.

The ease of learning and adopting Alteryx by my team has been quite friendly. Alteryx provides various resources including its own library and documents. It relies more on tools than on coding, making it pretty much easy for my team to learn and implement simultaneously. Learning has been a very positive experience so far.

The impact on my team after switching to Alteryx includes significant time savings and an improvement in ROI. After implementing Alteryx, we calculate our ROI to be more than 25 to 30 percent. From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars, which is a significant benefit from implementing Alteryx.

From a pricing perspective, Alteryx is quite price-effective compared to other ETL tools we've used. We began with a starter edition and have now moved to an enterprise edition. We have add-ons that provide advanced capabilities such as server deployment and specialized integrations. Currently, we're working on an enterprise contract and liaising with the enterprise sales team, also evaluating various use cases with cost-saving factors in mind. We now hold about 30 user licenses as we transitioned into the enterprise edition.

The switch from Informatica to Alteryx was primarily based on usability, cost, and features. We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.

Prior to choosing Alteryx, we evaluated other options such as DataStage, Databricks , Integrate.io, Pentaho , and Talend, but ultimately selected Alteryx from that pool of tools.

For those looking into using Alteryx, I advise that if you want to automate and bring in AI-powered data integration workflows, Alteryx can be a good product. It supports a wide range of easily integrated data sets and offers built-in custom APIs for legacy applications. From a pricing perspective, it is very cost-effective, especially for designing workflows from scratch using built-in tools. This makes large-scale data transformations much more manageable.

Alteryx is doing an amazing job of providing world-class integration tools and enhancing digital features on AI-powered workflows. I would like to see further improvisations in future releases and platform upgrades that Alteryx is regularly undertaking. I would rate this review a 9 out of 10.