Alteryx Customer Reviews 2024

What is Alteryx?

Alteryx provides a single workflow for data blending, analytics, and reporting. This workflow allows the seamless blending of internal, third party and cloud-based data, and simple analysis using 60+ prebuilt tools for spatial and predictive analytics. With Alteryx Machine Learning’s automated insight generation, you’ll quickly uncover hidden signals and key relationships in your data.

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Awards & Recognition

Alteryx won the following awards in the Data Preparation for Analytics category

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Alteryx Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Alteryx.

86 Likeliness to Recommend

97 Plan to Renew

81 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+91 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Alteryx?

2% Negative

3% Neutral

95% Positive

Pros

Performance Enhancing
Enables Productivity
Respectful
Reliable

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Machine Learning Platforms

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Alteryx Reviews

Silvia B.

Role: Finance
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2024

Powerful data analytic software

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

Its comprehensive and analytical features make it stand out at the top among its similar products. Its user-friendly interface makes it feasible for both beginners and experts for preparing without demanding any coding skills. Its analytical tools like spatial and predictive, helps to deal with complex analysis through a single source.

What is your favorite aspect of this product?

Alteryx's drag-and-drop interface is my favorite thing in it. It helps in simplifying the complex data for its users. This also helps my organization in analysis of data and in building complex workflow without demanding any high coding skills. This thing also mitigates the time-consuming data wrangling process. Its data blending capabilities allow the users to connect with data sources, thus enhancing the quality of work.

What do you dislike most about this product?

Although it is working amazingly for all my work sets. However, one thing that I have noticed is that when dealing with highly complex data sets, it slows down and takes a little longer than usual to streamline the workflow. This thing needs to be improved. Besides these, it is a great platform for the preparation of data and its analysis.

What recommendations would you give to someone considering this product?

To have the best working experience with Alteryx, I would recommend to take in view all the needs and evaluate all the required solutions of your organizations and then align its features according to them.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Mariana G.

Role: Information Technology
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2024

Develop and analyze data quickly and effectively

Likeliness to Recommend

9 /10

What differentiates Alteryx from other similar products?

Its focus on ease of use and the ability to combine data from multiple sources quickly and easily is what sets it apart. To prepare and analyze data without programming experience, Alterix offers an intuitive, drag-and-drop visual interface.

What is your favorite aspect of this product?

I like it for its wide range of advanced analytical features, which allow you to discover valuable insights and make informed decisions. In addition, Alterix's data visualization options are highly customizable and provide the opportunity to present your findings in an attractive and clear manner.

What do you dislike most about this product?

If I need to use all the advanced features of the platform, I am concerned about the cost of using Alterix.

What recommendations would you give to someone considering this product?

With its wide range of advanced analytical features, which enable you to discover valuable information and gain meaningful insights from data, I highly recommend it. This makes it easier for companies to make informed decisions based on accurate data.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Praveen Kumar V.

Role: Operations
Industry: Banking
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2024

Fantastic product for large data management

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

The processing power is unmatched

What is your favorite aspect of this product?

the customization is data processing logics

What do you dislike most about this product?

custom reporting and dashboard functionality was limited at the time of use

What recommendations would you give to someone considering this product?

highly recommend using for both pre and post processing of large data sets and not just reconciliations

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Cons

Leverages Incumbent Status

How We Deliver

Alteryx

What is Alteryx?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

Alteryx Ratings

86 Likeliness to Recommend

97 Plan to Renew

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Alteryx?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Also Featured in...

Data Quality

Machine Learning Platforms

Alteryx Reviews

Silvia B.

Powerful data analytic software

Likeliness to Recommend

Pros

Mariana G.

Develop and analyze data quickly and effectively

Likeliness to Recommend

Pros

Praveen Kumar V.

Fantastic product for large data management

Likeliness to Recommend

Pros

Cons

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Informatica Data Integration & Engineering

Title

Feature Ratings

Data Cleansing

Data Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Profiling

Data Packaging

Data Enrichment

Self Service and Ad Hoc Capabilities

Data Access

Data Modelling Tools

Cataloging

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Quality of Features

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Vendor Support

Informatica Data Integration & Engineering 