Healthcare AI

Advanced Applications for Sensory Analysis and Text Analysis

Emotional analysis and natural language processing can create opportunities to improve customer self-esteem, reduce employee profits, create better products, and much more. The most common applications for natural language processing fall into three broad categories: Social Media Monitoring, Customer Experience Management and Voice of Customer, and People Analytics and Voice of Employee

Community Monitoring (SMM)

Understand social data as never before.

Social media is the gold of consumer news and opinion data. But social posts are full of complex abbreviations, acronyms, and icons. Many public statistics forums cannot deal with that inconsistency. Excess volume is also a problem. Some social media monitoring tools strive to measure. At the same time, data analysts spend significant hours analyzing mountains of public data manually.

 

Lexalytics uses native language analysis (NLP) and machine learning to convert mountains of hashtags, slang, and grammar into orderly data and useful information. Data analysts upload, analyze and analyze social media data mountains on our platform to understand conversations around products, products, people and services. Technology companies incorporate our NLP APIs into their public listening product to bring better understanding to their customers

Demographics and employee voice

Reduce profits, improve employee engagement, and increase productivity.

The number of employees is very high. Companies strive to improve employee engagement and ethics. At the same time, unhappy employees create a bad impression on customers. The result? $ 62 billion in losses for US businesses each year. To change the situation, data-driven HR organizations use a wide range of People Analytics systems. McKinsey & Co finds that People Analytics can improve employment efficiency by 80%, increase productivity by 25%, and reduce attractiveness by 50%.

 

Within the framework of the People Analytics, Voice of Employee programs gather, analyze and interpret employee feedback in order to unlock features that reduce employee interaction and trust. Lexalytics provides a Voice of Employee analytics platform for analyzing, analyzing, and understanding the text-based employee response in all its variants.

Voice of Customer (VoC) & Customer Experience Management

Turn mountains of random customer feedback into useful data.

A good customer experience can add revenue of 4-8%, maximum 6-14x lifespan up to 55% of maximum storage. At that point, gaining a new customer costs 5-8x more than the last one. Customer Experience Management and Customer voice systems bring together product management, customer support, and engineering teams to understand customer needs, improve customer satisfaction and deliver better products. But building an effective VoC system is not an easy task. Think about the volume of data out there: hundreds of customer surveys, thousands of reviews, millions of comments on social media. Manual analysis is slow and expensive.

 

Voice of Customer tools such as the Lexalytics Intelligence Platform use natural language analysis and sensory analysis to convert customer feedback into structured data and usable scales that are scalable. We help you understand how people perceive and interact with your products, products, and services, so you can make better decisions and recommendations throughout your company.

Obeying the Law

Solve compliance issues involving complex documentation.

Health, pharmaceutical and financial companies face heavy legal obligations. Financial firms, for example, provide 10-15% of their employees and spend $ 270 billion in compliance every year. These companies are flocking to spare time savings and cost savings.

 

However, traditional data analysis techniques cannot manage regulatory, legal and medical documents. Off-the-shelf tools do not have the support technology to analyze the composition and content of these files. As a result, they may leave important data behind or ignore the important context in which compliance experts rely.

 

Lealyalytics can identify, extract and understand all of this data. Our professional services team uses native language processing, fragmented data classification, and machine learning / AI to build standard applications that solve specific customer compliance challenges. By working in a Proof of Concept on stage, we deliver results faster, lower cost and less risk.

Robotic Automation Process

Solve comprehensive and comprehensive usage cases that include text data in all its forms.

Vendors for Robotic Process Automation (RPA) must meet the growing customer needs for larger, more flexible RPA integration and deeper mathematical integration. However, many firms have lagged behind in supporting cases of using advanced analysis text. Some have strong text numbers but are powerless with “cases of informal documentation” that include PDFs. And some have trouble inserting text statistics and native language processing components into their larger area.

 

Lexalytics helps you solve these problems with simple solutions to integrate stable, flexible, and completely customized text calculations. Install our tools on your RPA platform to quickly deal with cases of using analytics, deliver better analytics capabilities and differentiate your offerings in the rapidly changing RPA marketplace.

We also provide NLP solutions for data extraction in documents with a small structure, which is useful for compliance and review of legal documents. Don’t see your NLP application here? We can probably customize our tools to suit your needs. Contact us to see how we can help

 

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