Alteryx; Intelligent and Versatile Data Analytics and Preparation Software, but Escalated Prices
What do you like best about the product?
Alteryx is remarkably significant in matters data preparation, concrete analysis, and blending without demanding high tech skills
The platform ensure both business users and analyst gets the data on time, and with effortlessly
Alteryx works with brilliant tools like Power BI, Tableau, among others to create solid visualization
The inclusion of machine learning algorithms makes the process of data preparation and prediction smoother and easier
What do you dislike about the product?
Alteryx has not reduced the licensing fees, which put off many prospective customers
Large databases brings a significant challenge, where Alteryx developers loading issues
What problems is the product solving and how is that benefiting you?
Alteryx plays a solid operational role of cleaning, preparing and joining data to make a solid library
The program understands the importance of automation, where it ensures no manual tasks of filling data into spreadsheets
The complex process of prediction is professionally defined and addressed by Alteryx
All problems that revolves around data are comprehensively addressed
Alteryx; Fundamentally Efficient in Data Preparation and Executing Analytics
What do you like best about the product?
Alteryx makes data workflow easy to manage and access without having much technical knowledge
Repetitive data reporting or preparation has been efficiently supported by Alteryx
The program has magnificent connectors with multiple cloud apps and databases
The data cleansing process is brilliant and automated
Simplistic predictions and analysis is fully executed by the app
What do you dislike about the product?
Beginners find Alteryx not too familiar with its operations, creating a detailed learning plan
Some advanced features demands scripting, whete Python R code s required
What problems is the product solving and how is that benefiting you?
Alteryx helps us reduce stress of manual data preparation, transformation, or even data cleansing
The comprehensive part of consolidating data is fully functional and successful through the support of Alteryx
The program supports companies to run simplified analytics, with extra data processing capabilities
All processes that relates with data and they are repetitive are fully supported by Alteryx
Amplifying and Improving Data Preparation Processes, with Focused Analytics
What do you like best about the product?
Alteryx is authentic and intelligent in data blending and preparation, and this ensure advanced analytics is done easily
The program has enabled swift statistical, predictive snd spatial analysis under a single application
Alteryx is time focused, where automation creates speed and efficiency
Complex workflow gets the permanent parameters that guides on automation
What do you dislike about the product?
Alteryx price is way high, discouraging many subscribers or investors
The visualization capabilities from Alteryx are less assertive and versatile
What problems is the product solving and how is that benefiting you?
All data relating errors like threats, vulnerabilities and an unauthorized access are fully covered
The speed of data transmission, consolidation and compliance os fast, and the analytical reports are useful in matters decisions
Alteryx is an east application that helps us allow analytics from separate and multiple sources
We unlock all the insights and decisions using Alteryx
Alteryx; The Productive Data Management System for Proper Analytics and Preparation
What do you like best about the product?
Alteryx offers a robust service for data collection, merging and cleaning with security clarity
The app has prediction models that are articulate and deep, dealing with spatial analysis
We schedule data related events or workflow using Alteryx, and this brings organization and operations acceleration
The app is usable by people with low or no coding experience
What do you dislike about the product?
Alteryx helps us handle or clean messy data to structured and reliable datasets, but licensing part is extremely high
The app is so basic on visualization, which is vital in addressing data issues
What problems is the product solving and how is that benefiting you?
We use Alteryx as a platform that helps in creating a reliable dataset that we can analyze and report
The analytical cycle is professionally conducted by this app and the turnaround time is significantly reduced
We work with non technical team to handle data tasks including blending, preparation and cleaning
All predictions are fast tracked by Alteryx
Have faced collaboration and integration challenges despite simplified workflows for non-coders
What is our primary use case?
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.
What is most valuable?
I have been pretty satisfied with Alteryx's data blending feature as it is quite easy to use as a non-code platform. One of its benefits is that it's a drag-and-drop system. Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
The way Alteryx's automation capabilities have contributed to my organization's workflow efficiency depends very much on the project we work on.
What needs improvement?
A potential drawback is that tracking changes and using Git with Alteryx is not very easy. If there are multiple analysts working on a specific file, whereas with code you can easily see where changes are, Alteryx being a soft code platform makes it quite hard to track changes through Git.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API. These might be features that already exist and I'm not fully familiar with, but the API integration is currently a bit clunky.
The disadvantages that made me think about switching from Alteryx include the version control and collaboration issues previously mentioned. In addition to that, the cost is a factor, so we're looking at solutions that are free to implement. Finally, we are looking at how we can better integrate within our own software solutions, which are all Python-based.
For how long have I used the solution?
I have been working with Alteryx for two years.
What do I think about the stability of the solution?
In terms of performance, it depends on the size of the workflow that you're dealing with. It can be pretty slow on PC, but it depends.
What do I think about the scalability of the solution?
I consider Alteryx as scalable.
How are customer service and support?
I haven't received any support from Alteryx, so I can't speak much about their technical support.
I didn't need to contact Alteryx support. I have found that the training resources online are okay. They could be improved with more examples of use cases, but they are fit for purpose.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Before Alteryx, I worked with either direct data transformations in Python or working through tools such as Power BI and the Power Query functions. In general, I think those tools perform similar functions even though there might be some differences. I generally had a better experience with those tools which come at a lower cost.
Which other solutions did I evaluate?
At the moment, we're looking at alternatives in general. We're looking at both Alteryx and the potential to move away from it, either just using in-house tools or any alternatives available that perform similar functions.
The potential options we are considering instead of Alteryx are not really well defined. We're still researching.
What other advice do I have?
I am generally satisfied with Alteryx.
I'm not the best person to discuss the pricing of Alteryx, as I'm not involved with that.
The tools I tried to integrate Alteryx with are in-house tools and solutions, where I faced problems.
Based on my experience, I would not recommend Alteryx to others. I would encourage developing internal capabilities over using Alteryx as a solution.
My thoughts on the ease of use, interface, and implementation process of Alteryx are that it's easy to use for non-coders, but for anyone who has ever coded before, it's really frustrating to use. There is a balance as it is very easy to use, but there is also no way of easily streamlining workflows or reviewing them.
I'm not sure whether it was bought from the AWS marketplace.
I can't think of any specific examples of benefits at the moment.
On a scale of 1-10, I rate Alteryx a 6.
Smart Platform for Data Prep and Workflow Automation
What do you like best about the product?
The best Part about Alteryx is how effortlessly it manages messy data. I can bring in information from multiple systems, clean and organize it, and get it ready for analysis without needing to write complex code. The drag-and-drop tools make building workflows quick, and automation ensures I don't waste time repeating the same steps. it alos it also integrates smoothly with tools like Excel, SQL and BI platforms, which makes it very flexible. Setting up was straightforward, and the documentation guided us well. Plus, their customer support team has been responsive and helpful whenever we needed assistance, which adds a lot of value to the overall experience.
Alteryx stands out for its Ease of Use, smooth implementation and seamless integration with other tools. With a wide number of features, strong customer support, and frequent use in our daily workflow, it delivers consistent value.
What do you dislike about the product?
The pricing is on the higher side for small teams or startups. Also, handling extremely large datasets sometimes impacts performance. Beginners may also take some time to fully explore advanced features.
What problems is the product solving and how is that benefiting you?
We use Alteryx to automate manual data process, reduce reporting time, and prepare data for analytics and machine learning. Earlier, data cleaning used to take hours, but with alteryx, it's reduced to minutes. it helps in faster decision making and provides more accuracy in reporting.
Enabled me to streamline complex data processes and deliver fast, transparent solutions.
What do you like best about the product?
Automates repetitive data tasks, boosts accuracy, and saves significant time for more strategic work
What do you dislike about the product?
cost, scalability, versioning, and advanced usability are the main pain points for developers.
What problems is the product solving and how is that benefiting you?
Alteryx automates manual data processes, integrates diverse data sources, cleans and prepares data efficiently, and accelerates analytics to solve time-consuming and complex business data challenges.
Alteryx for your personalizaton
What do you like best about the product?
Pulls data from spreadsheets, databases, cloud apps, APIs, and big data sources into one workflow which makes things easier for me.
What do you dislike about the product?
High licensing costs nad limited data visualixation scope
What problems is the product solving and how is that benefiting you?
Slow Analysis Turnaround andhigher data quality
Best about Alteryx
What do you like best about the product?
You don’t need to be a hardcore coder. You just drag tools onto the canvas and connect them like Lego blocks. It feels visual, intuitive, and way less intimidating than SQL or Python if you're just trying to get stuff done quickly.
What do you dislike about the product?
Alteryx is powerful, but it’s not all sunshine and clean data. Here's what I (and a lot of users quietly mumble about) don’t love
What problems is the product solving and how is that benefiting you?
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Powerful Analytics Tool with a User-Friendly Interface
What do you like best about the product?
Alteryx simplifies complex data tasks with a drag-and-drop interface that allows users to prepare, blend, and analyze data without writing code. Its wide range of connectors and pre-built tools saves time and makes it easy to handle everything from basic data cleaning to advanced analytics. The visual workflow design helps with transparency and collaboration across teams.
What do you dislike about the product?
Alteryx can be expensive, especially for smaller organizations or individual users. Some advanced features have a steep learning curve, and the documentation could be more beginner-friendly. Also, when working with very large datasets, performance can lag unless optimized carefully.
What problems is the product solving and how is that benefiting you?
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