Emotional Footprint Awards 2022
Machine Learning
SoftwareReviews names MathWorks Matlab, Databricks Lakehouse Platform, and Dataiku as Machine Learning Emotional Footprint Award Winners.
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Machine Learning
Emotional Footprint Awards
SoftwareReviews Emotional Footprint Awards evaluate and rank products based on emotional response ratings from IT and business professionals. Using our Emotional Footprint methodology, we aggregate emotional footprint scores across 26 dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
Emotional Footprint Awards are proudly founded in 100% user review data and are free of traditional “magical” components such as market presence and analyst opinion, which are opaque in nature and may be influenced by vendor pressure, financial or otherwise.
Read The In-Depth Report
See how each vendor stacks up across each of the 26 dimensions and our thorough evaluation of vendor capabilities, product features, and overall satisfaction.
30+ pages
Measuring Emotional Footprint
Emotional Footprint is scored using our “Net Emotional Footprint” Index. This index tracks responses across 26 dimensions of emotional footprint that span 5 categories: Purchasing, Service Experience, Product Impact, Vendor Strategy, and Conflict Resolution. Then, the following calculation is done across this index:
% of Positive Reviews - % of Negative Reviews
For clarity, the total percentage of positive, neutral, and negative ratings is shown for each vendor as well.
Emotional Footprint Leaders
MathWorks
MathWorks Matlab
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming.
9.2
CX Score
CX
Score
+97
Net Emotional Footprint
Net Emotional
Footprint
87
Value Index
VALUE INDEX
Databricks
Databricks Lakehouse Platform
The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.
8.7
CX Score
CX
Score
+92
Net Emotional Footprint
Net Emotional
Footprint
81
Value Index
VALUE INDEX
Dataiku
Dataiku
Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way.
8.5
CX Score
CX
Score
+92
Net Emotional Footprint
Net Emotional
Footprint
78
Value Index
VALUE INDEX
Other Evaluated Vendors
KNIME
KNIME Analytics Platform
At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. One enterprise-grade software platform, two complementary tools. Open source KNIME Analytics Platform for creating data science and commercial KNIME Server for productionizing data science.
8.3
CX Score
CX
Score
+84
Net Emotional Footprint
Net Emotional
Footprint
81
Value Index
VALUE INDEX
Google Cloud Vertex AI
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
8.3
CX Score
CX
Score
+86
Net Emotional Footprint
Net Emotional
Footprint
79
Value Index
VALUE INDEX
RapidMiner
RapidMiner
Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model operations.
8.2
CX Score
CX
Score
+82
Net Emotional Footprint
Net Emotional
Footprint
82
Value Index
VALUE INDEX
DataRobot, Inc.
DataRobot AI Cloud
The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.
8.1
CX Score
CX
Score
+80
Net Emotional Footprint
Net Emotional
Footprint
82
Value Index
VALUE INDEX
Alteryx, Inc.
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.
8.1
CX Score
CX
Score
+81
Net Emotional Footprint
Net Emotional
Footprint
80
Value Index
VALUE INDEX
Amazon.com
AWS Machine Learning
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
7.5
CX Score
CX
Score
+70
Net Emotional Footprint
Net Emotional
Footprint
79
Value Index
VALUE INDEX
Altair Engineering, Inc.
Altair Data Analytics & AI
Altair Data Analytics enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.
6.6
CX Score
CX
Score
+62
Net Emotional Footprint
Net Emotional
Footprint
70
Value Index
VALUE INDEX
For the full list of vendors in this space, click here.
