MonkeyLearn
Overview
MonkeyLearn is a company that specializes in providing AI-powered text analytics solutions. Their platform is designed to help businesses uncover insights from unstructured data, such as customer feedback, social media comments, and survey responses, using natural language processing and machine learning technologies. The company aims to democratize text analytics by making it accessible and actionable for users across various industries.
Industry: Text Analytics
Ideal Customer Profiles: The ideal customers for MonkeyLearn's products and services are businesses and organizations across various industries that need to analyze large volumes of unstructured text data to gain insights into customer and employee experiences. This includes sectors like retail, financial services, healthcare, and technology, among others.
Website: monkeylearn.com
LinkedIn: http://linkedin.com/company/monkeylearn
Products
Text Analytics Platform
Medallia’s Text Analytics Platform is powered by Athena AI, which uses a combination of supervised, semi-supervised, and unsupervised machine learning techniques to provide comprehensive insights into unstructured data. It is designed to be intuitive for both data scientists and frontline employees, enabling easy root cause analysis and quick action.
Features
Omnichannel Text Analytics
Description: This feature allows users to analyze text data from multiple channels such as surveys, social media, and emails. It uses natural language understanding to identify trends and insights across different user roles.
Benefit: Users can gain a comprehensive view of customer and employee feedback, leading to more informed decision-making and improved experiences.
Real-time Analytics and Alerts
Description: The platform provides real-time analytics that can automatically alert users to emerging trends and opportunities. It supports workflow automation, such as prioritizing support tickets and automating agent scoring.
Benefit: This feature helps organizations respond quickly to changes and opportunities, improving efficiency and customer satisfaction.
Natural Language Understanding (NLU)
Description: The NLU feature analyzes text data to derive implicit meanings, themes, and sentiments. It supports multiple languages and dialects, making it suitable for global operations.
Benefit: Organizations can understand complex emotions and sentiments in customer feedback, leading to more empathetic and effective responses.
Customizable Topic Models
Description: Users can create their own topic models in a low- to no-code environment, or choose from hundreds of pre-built models tailored for various industries and use cases.
Benefit: This feature allows for tailored insights that are specific to the organization's needs, enhancing the relevance and accuracy of the analytics.
Customizable KPIs
Description: The platform allows users to create custom KPIs based on criteria important to their business, such as sentiment and effort scoring, to objectively measure experiences.
Benefit: Organizations can track and improve key performance metrics that are aligned with their strategic goals.
Athena AI
Athena AI is Medallia’s native AI that supports all of Medallia’s analytics with hundreds of models leveraging various machine learning techniques. It is designed to augment human workflows by prioritizing impactful work over repetitive tasks.
Features
Workflow Enhancement
Description: Athena AI enhances workflows by automating repetitive tasks and allowing users to focus on more impactful work. It supports quick root cause analysis and action-taking.
Benefit: Users can achieve goals faster and improve efficiency by focusing on high-value tasks.
Unsupervised Learning
Description: This feature uses unsupervised machine learning to identify trends and patterns in data that may not be immediately apparent, facilitating root cause analysis.
Benefit: Organizations can uncover hidden insights and address issues proactively, leading to better decision-making.
AI-Powered Alerts
Description: Athena provides AI-powered alerts that notify teams of opportunities for customer retention, employee recognition, or potential risks, based on data analysis.
Benefit: Teams can take timely actions to capitalize on opportunities or mitigate risks, enhancing customer and employee satisfaction.
Self-Improving Models
Description: Athena’s machine learning models continuously improve based on new data and feedback, ensuring accurate and up-to-date insights without extensive manual intervention.
Benefit: Organizations benefit from consistently accurate analytics with minimal maintenance effort.
No-Code Annotation Interface
Description: Users can annotate topics and sentiment through a no-code interface, allowing for easy customization and accuracy in analytics.
Benefit: This feature simplifies the process of tailoring analytics to specific business needs, improving the relevance of insights.
Testimonials
"Having Medallia to leverage insights from sophisticated text analytics, at scale, and in a very cost-effective way, has been a game changer for us."
Gabe Strano, Customer Insights Director at Noom Inc.
Source: Artificial Intelligence in Customer Experience | Medallia Athena
"Customers looking for a fast time to value with OOTB omnichannel data models and language models tuned for multiple industries and business domains should put Medallia at the top of their shortlist."
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