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2018-03-06T16:25:00Z

What is your primary use case for Alteryx?


How do you or your organization use this solution?

Please share with us so that your peers can learn from your experiences.

Thank you!

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3333 Answers

author avatar
Top 20Real User

I believe we are using the new version. I use the solution for development and certain financial projections, such as making a business plan. I employ the solution for the amalgamation of big data. . I also use the solution for certain analytics deployment, such as that found in the commercial arena, for ascertaining the projections of sales.

2021-12-20T23:22:00Z
author avatar
Reseller

I'm a reseller, so I have plenty of use cases. I don't have my own use cases. I actually solve problems for other customers. We have a few use cases with Alteryx - one for supply chain and one for finance as a whole. There is a very large amount of use cases for finance.

2021-12-15T04:40:00Z
author avatar
Real User

We have very similar use cases with Alyterx, Knime, and Trifecta. We are taking the data from disparate systems and transforming and making the data available for further visualization.

2021-12-10T21:20:00Z
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Top 20MSP

Most of my use cases have been around just helping customers out, specifically in the financial sector. Within our company, I've been automating the reports, project reports, and using it mostly for the automation of weekly reports in our company.

2021-11-16T17:54:34Z
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Real User

I use Alteryx for integration, data integration, and advanced analytics with several companies.

2021-10-16T11:04:53Z
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Real User

This is a data science solution, more like an ETL tool where you have data that you want to convert or transform. I'm a solutions architect and support the platform. The application is being maintained by a different team. We are customers of Alteryx.

2021-07-31T19:27:46Z
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Top 20Real User

I use this solution for KPIs and trending.

2021-06-18T20:02:17Z
author avatar
Top 20Real User

The solution is primarily used for data preparation, data cleansing, and, in some cases, predictive analytics. That said, the major use is in the preparation of data.

2021-05-12T12:27:12Z
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Top 5LeaderboardReal User

We were analyzing data trying to find anomalies with the servers and things that were going wrong. Normally in what we do, it can be a very manual process looking for that kind of stuff. Therefore, using this product, I created a workflow that went out and looked across all devices for problems that are happening, and managed to cut down the number of issues that were being created daily.

2021-04-23T21:33:18Z
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Top 20Real User

We have several Alteryx certified analysts on our team, and we serve customers who want Alteryx. We don't use it in our company.

2021-03-26T14:52:38Z
author avatar
Real User

We primarily use the solution for automation, data cleansing, QA, some data science and machine learning software for the company.

2021-01-31T06:52:35Z
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Top 20Real User

We primarily use the solution for data processing and ETL.

2021-01-26T18:51:55Z
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Top 5LeaderboardReal User

I am the head of investigation on-site, I use the solution every day for merging and other management of records. I also export data to individuals that need the information we store, such as facilitators.

2021-01-14T06:30:15Z
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Real User

Alteryx is one of our primary tools in our company and we use it mainly for future analytics. We are primarily trying to determine what the past has looked like and then apply predictive analytics.

2021-01-06T21:49:34Z
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Top 10Real User

We use Alteryx for aggregating different Excel data and doing general analytics. Within our company, there are five employees using Alteryx.

2020-11-17T12:28:07Z
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Top 20Real User

We primarily use the solution for all machine learning projects, including perspective molding. We're using it for our marketing efforts.

2020-10-22T14:39:51Z
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Real User

Our primary use case is for ML related and deep learning related things like data cleaning and and then later we work on machine learning. I'm a business analyst and we are customers of Alteryx.

2020-09-23T06:09:54Z
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Top 20Real User

We are mainly using Alteryx for data preparation and processing data. We are also monitoring for some of our customers, in product analysis, regressions or customer segmentations, and column correlations analysis.

2020-09-06T08:04:26Z
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Top 20Consultant

We're using the solution primarily to clean up some of our customer CRM data and to integrate it with some of our Salesforce requirements.

2020-07-05T09:38:02Z
author avatar
Top 20Real User

We primarily use the solution for ETL purposes and also for a lot of our modeling and scheduling.

2020-06-30T08:17:33Z
author avatar
Top 20Real User

We are using this solution mostly for ETL purposes, and we have just started using advanced analytics, demand forecasting, and some supply chain optimization tasks.

2020-06-25T10:49:21Z
author avatar
Top 20Real User

We have many use cases for this solution. For example, we used it for data prep and blending as well as machine learning. We built customer 360, have used it for labor optimization, and demand forecasting.

2020-02-25T00:28:00Z
author avatar
Real User

We primarily use the solution for basic data analysis and forecasting.

2019-12-26T09:22:00Z
author avatar
Real User

Our clients buy the product license and then ask us to configure and set it up for them. We also provide training on product use and act as troubleshooters if customers have problems. The company has a 15-member team that provides training and consulting on multiple technologies. We have clients who are from tax, audit, and automation. They also use Automation Anywhere and Robotic Process Automation Application. There are three primary use cases for this product. Firstly, we have a case study that involved lot of buy and sell transactions in Dubai (real estate). We wanted to create a model that takes up all the data sets that are frequently upgraded, and then be able to extract a ballpark transaction value based on multiple parameters. A big task was to sanitize the data including how to handle incomplete data sets. Secondly, it is used to automate reconciliation of tax related system entries. For example, or for tax reconciliation such as a client in India where there is something similar to VAT called GST, a requirement to reconcile different transactions and make sure both party's accounting books match. Finally, there is a case where you have your own accounting software such as SAP and it has to talk to another software application, which is not SAP compatible so we use Alteryx.

2019-12-23T07:05:00Z
author avatar
MSP

The team uses Alteryx for many things because they code various algorithms to create different dashboards. These are used as solutions for various things from sales to customer experience to whatever else the customer needs. So there are many areas where the team is using the product. There is not one, but as of now, there are some 30 different use cases that we have.

2019-12-23T07:05:00Z
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Consultant

My company uses Alteryx differently for each of our clients' individual cases.

2019-12-23T07:05:00Z
author avatar
Real User

I am using the product for making machine learning models for particular uses that we have to focus on analytics.

2019-12-22T06:32:00Z
author avatar
Real User

We use this solution for self-service data preparation from data warehouses and data marts.

2019-10-30T05:04:00Z
author avatar
Real User

Data blending and complex data manipulation and augmentation.

2019-03-08T22:55:00Z
author avatar
Real User

ETL.

2019-02-13T06:39:00Z
author avatar
Real User

It collects data and manipulation and some Geo-spacial mapping.

2018-10-08T17:34:00Z
author avatar
User

I implemented Alteryx for a logistics company. It helps clean messy data and provides spatial analysis.

2018-08-22T13:48:00Z
author avatar
Top 5LeaderboardReal User

* Data acquisition, accessing all types of data services no matter the format or vendor. It is connected. * Data blending and descriptive, creating consolidated data sets, such as joints, unions, summarize, and all basic and advanced data manipulation tasks. * Advanced analytics, like predictive and prescriptive analysis, which are very good tools. * Preparation It involves reading multiple data sources, in different formats, reshaping and blending them together to answer business questions. We generate models for predictions and optimization.

2018-03-06T16:25:00Z
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