Alteryx Platform

We currently use Alteryx to process incoming leads efficiently. What would have taken hours now takes minutes! A lot of the tedious steps that we used to do was problematic because it was prone to human errors. Now with the tool in place, it's just a matter of connecting the right files with the right Alteryx jobs.

Instances where Alteryx Platform is well suited are were team members are doing tedious tasks in manipulating data (think of repetitive tasks for account, analysts, or even dev departments). Also useful when aggregating large datasets from different sources like Salesforce or Snowflake. This is not ideal for anything that doesn't involve data or when data isn't presented in a suitable format such as PDFs.

Alteryx Platform is the go-to data management software for organizations that seek to maximize data management productivity without resorting to coding in R or Python. The ideal is to manage data by the data owners, not by coders who have knowledge of code but no knowledge of the organizational processes that generate data and transactions. Alteryx Platform is the best, current generation alternative for data management by the data owners.

best suited to data management without coders. Not well suited to data management with a team of Python or R coders who have no knowledge of the underlying data or applications. Alteryx Platform enables data owners to get down and dirty with data management, without needing to know how to code.

We use Alteryx Platform in a number of areas in my organization from data prep and blending for analysis to some use cases around geospatial targeting for customers and business we do.

I think overall Alteryx Platform is a great utility tool that can be used to increase worker's efficiency and making a greater impact with data because there are so many sources. I would highly recommend this tool because it allows the common business user to complete tasks that data scientists do that require coding and deeper technical knowledge can.

we use Alteryx as an ETL in early stage data science product. The main product use case of this is to automate or Excel file transformations easily as well as to run data science functions like time, analysis, and regression in smaller models before building proper models for them. The scope is still limited for it, and it being used periodically by the team, but is highly useful for them.

Alteryx is well suited for smaller scale organisations or for large scale organisations where the team is not very technically advanced but are evolved at a lot of data processing, data, science, and data boarding workforce. It is not suited for high scale data as a lot of processing is done on your own PC, which might not be able to run billions of rows if you’re working with that large of data set.

In my organization, we use Alteryx to solve many different business challenges. I’ve used to build reports for SOX testing, to support internal audit projects with analytics (for faster and more accurate testing), I’ve used it to retrieve data from SAP easily, and many more. Alteryx is really a very versatile tool and has a user friendly interface, which makes our work a lot easier. What I also like about Alteryx is how you can user the server the store your workflows, schedule time for it to run automatically, all those details are really important for me because they make my daily work routine much more efficient.

I would 100% recommend Alteryx to a friend, for me its friendly interface is the best, it has all the tools I need without the headache that programming is. It can be used for simple or complex analysis, so honestly, I don’t see a scenario where it wouldn’t suit. I’ve used Alteryx to make simple things I could do in Excel, for example, but it was less complex and faster to do in Alteryx, so why not? Its a very versatile tool.

We use Alteryx to automate repetitive analytical tasks. it saves the logic so we do not have to re-create it each time

it is good for complex analysis. However, it’s overly complicated in certain areas, such as importing multiple files or creating reports. in my opinion, the product could be simplified for usability. If I’m going to spend that much time learning, I might as well learn SQL

We use Alteryx Designer Cloud to do any file formatting, combining data, sending out large batch emails, and reading and summarizing large data sets. File formatting includes changing data types, rearranging data, and other similar formatting. Large batch emails is being done for things like customer invoices. Summarizing large data sets is on sets of 1,000 all the way to 200,000 lines of data. Combining data is done on both like and unlikr datasets.

Alteryx Designer Cloud is wonderful on running through large data sets and comes in handy for any repetitive monthly process. 1 place where we noticed it is not so handy is performing a reconciliation because there's no 1 to 1 match tool available. It allows duplication of lines which works really well when trying to map a file by joining a data file and mapping file but not well at all when it duplicates lines of a GL and allows them to match multiple times.

It is widely used in handling big data tables and creating automation using big data which allowed us to save $100k+ yearly and we use it to simulate supply chain finance accruals for P&L using multiple big data sets. We also use it to create data files to load in AWS Redshift & Snowflake.

It is very well suited to handling big data calculations example I have data with 250 columns and 12M+ rows and use 10-12 small medium data sets to run calculations which is very easily done. One can use it to carry out automation meaning one can set up a workflow for a repetitive task and then using a schedule the report will be automatically generated.

I use Alteryx as an ETL tool, for quick analysis, building data models for further reporting, and using it to automate different data processes for my stakeholders. By using Alteryx, I can be quick and nimble, creating prototypes before our tech teams can get the project into their sprint plans.

Alteryx is well suited for projects where you are combining multiple sources of disparate data sources and then need to publish that into a different format on a regular basis. It is good with small/medium data sets, but not Big Data.

We use Alteryx for all our data wrangling needs because it is intuitive, fast, and accessible to non-coders. Alteryx Designer is used on nearly all our projects, preparing and analyzing data for school districts and local governments.

Alteryx Designer is an essential data wrangling tool to our team of GIS analysts and demographers. Establishment of workflows allows for consistent and efficient data preparation and analysis without the need for coding proficiency.