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.
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.
Alteryx's main use case is its no-code capability, allowing me to build complex data pipelines using a drag-and-drop interface. If I can draw a flowchart, I can use Alteryx, which provides massive time-saving. Tasks that take a week in SQL or manual Excel work can often be automated in Alteryx. I primarily use Alteryx for data preparation, cleansing, and transformation. For example, I use it for removing duplicates, handling missing values, formatting data and numbers, and joining multiple datasets in my daily work. Regarding my main use case for Alteryx, I am using it primarily for time-saving.
I have used Alteryx Designer to perform predictive analytics that helps in predicting the selling of products, particularly in banking and financial areas.
Software Developer at a comms service provider with 10,001+ employees
Real User
May 17, 2024
We use Alteryx Designer to construct workflows, encompassing data extraction from various platforms such as SQL Server and in-database sources. Subsequently, we automate these workflows and push the filtered data to Tableau for dashboard creation. This process forms our daily routine, streamlining tasks efficiently.
My main use for Alteryx Designer is automating routine daily tasks by creating predefined workflows that run on databases. I use it primarily for data preparation, blending, and simplifying complex tasks into streamlined processes.
Software Engineer at a computer software company with 10,001+ employees
Vendor
Top 10
Nov 10, 2023
We use the solution for file loading and occasional API integration. While I have experience working with APIs, there are specific use cases that I still need to implement. My projects have involved some data cleansing, although it hasn't been complex.
Analytics Strategy Consultant at a tech services company with 51-200 employees
Consultant
Sep 18, 2023
We use Alteryx Designer to enable business users to automate their workflows so they don't have to spend time in Excel doing things like pivot tables, VLOOKUPS, or HLOOKUPS. Instead, they can spend more time on analysis than being a spreadsheet slinger.
Principal Consultant at a financial services firm with 10,001+ employees
Real User
Dec 9, 2022
I use Alteryx Designer as an ETL for extracting data, transforming it in my flow, cleaning it up, joining it with other data sources, and then applying it to my business logic, which envisages a Tableau dashboard.
We use Alteryx Designer to build data integration. Alteryx allows you to connect to multiple data sources. It also connects with some tools natively to capture metadata.
We have a client who is manually processing Excel files. They want to do some integrations and calculate values in their spreadsheets, and they're working with multiple steps and complex formulas. We migrate everything into Alteryx, which our client can use to change values, eliminating the manual steps that they were doing on Excel. That was the last job I did, but it wasn't data preparation. It was more like an ETL thing.
Solutions Engineer at a computer software company with 201-500 employees
Real User
May 28, 2021
We have multiple clients and multiple use cases - for every type of domain, be it finance, marketing, any domain. I cannot be very specific about them, however, there are plenty of use cases for different sectors.
Analytics Manager at a tech services company with 51-200 employees
Real User
Dec 11, 2020
As a consultancy, we sell projects on Alteryx. I've done projects based on data integration, data preparation, and also we have a data science project that we are working on as well.
We have a few customers who use this solution. They already have this solution in their company. They ask us to help them in creating different flows for different solutions and preparing different kinds of data. We only give support to these customers. We are using the latest version.
Alteryx is the agentic analytics and automation company helping organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business—analysts and operations teams—Alteryx helps organizations put data and AI to work by connecting data, applying governed business logic, and automating data-intensive processes.
At the center of this approach is Alteryx One, a platform designed to work across an organization’s existing data and technology...
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.
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.
My current use case is using Alteryx for ETL, extraction, transformation and loading.
Alteryx's main use case is its no-code capability, allowing me to build complex data pipelines using a drag-and-drop interface. If I can draw a flowchart, I can use Alteryx, which provides massive time-saving. Tasks that take a week in SQL or manual Excel work can often be automated in Alteryx. I primarily use Alteryx for data preparation, cleansing, and transformation. For example, I use it for removing duplicates, handling missing values, formatting data and numbers, and joining multiple datasets in my daily work. Regarding my main use case for Alteryx, I am using it primarily for time-saving.
I have been using Alteryx myself and it has also been used more broadly by my company. Approximately, about 30 people are using Alteryx in my company.
I use Alteryx for smart analytics because it provides insights into what is happening with the data and determines possible reasons for changes.
I have used Alteryx Designer to perform predictive analytics that helps in predicting the selling of products, particularly in banking and financial areas.
We use the solution for our ETL process, which involves moving data between source and reporting servers.
We use Alteryx Designer to construct workflows, encompassing data extraction from various platforms such as SQL Server and in-database sources. Subsequently, we automate these workflows and push the filtered data to Tableau for dashboard creation. This process forms our daily routine, streamlining tasks efficiently.
I use it for data preparation, mainly cleaning raw data.
My main use for Alteryx Designer is automating routine daily tasks by creating predefined workflows that run on databases. I use it primarily for data preparation, blending, and simplifying complex tasks into streamlined processes.
We use Alteryx Designer primarily for ETL processes for dashboard creation, throughput analysis, and integration with SmartOps.
We use the solution for file loading and occasional API integration. While I have experience working with APIs, there are specific use cases that I still need to implement. My projects have involved some data cleansing, although it hasn't been complex.
I use Alteryx Designer to create ETL and data transformation flows.
I use Alteryx to transform Excel tables into XML format.
We use Alteryx Designer to enable business users to automate their workflows so they don't have to spend time in Excel doing things like pivot tables, VLOOKUPS, or HLOOKUPS. Instead, they can spend more time on analysis than being a spreadsheet slinger.
I use Alteryx Designer for multi-data prep, aggregation, and transformation.
We use Alteryx Designer for data manipulation.
I use Alteryx Designer mostly for ETL data integration.
I use Alteryx Designer as an ETL for extracting data, transforming it in my flow, cleaning it up, joining it with other data sources, and then applying it to my business logic, which envisages a Tableau dashboard.
It is used for data warehousing building.
We use Alteryx Designer to build data integration. Alteryx allows you to connect to multiple data sources. It also connects with some tools natively to capture metadata.
I use Alteryx Designer to do training and project for a consultative firm.
I mainly use Alteryx Designer for automation purposes.
I am using Alteryx Designer mainly for machine learning and random product design.
We have a client who is manually processing Excel files. They want to do some integrations and calculate values in their spreadsheets, and they're working with multiple steps and complex formulas. We migrate everything into Alteryx, which our client can use to change values, eliminating the manual steps that they were doing on Excel. That was the last job I did, but it wasn't data preparation. It was more like an ETL thing.
We have multiple clients and multiple use cases - for every type of domain, be it finance, marketing, any domain. I cannot be very specific about them, however, there are plenty of use cases for different sectors.
This product is used for reporting and designing workflow processes.
As a consultancy, we sell projects on Alteryx. I've done projects based on data integration, data preparation, and also we have a data science project that we are working on as well.
We have a few customers who use this solution. They already have this solution in their company. They ask us to help them in creating different flows for different solutions and preparing different kinds of data. We only give support to these customers. We are using the latest version.