{"id":548081,"date":"2024-11-15T10:43:40","date_gmt":"2024-11-15T18:43:40","guid":{"rendered":"https:\/\/www.genesys.com\/?post_type=blog&#038;p=548081"},"modified":"2024-11-14T15:43:37","modified_gmt":"2024-11-14T23:43:37","slug":"unlock-the-value-of-contact-centre-speech-and-text-analytics-software","status":"publish","type":"blog","link":"https:\/\/www.genesys.com\/en-sg\/blog\/post\/unlock-the-value-of-contact-centre-speech-and-text-analytics-software","title":{"rendered":"Unlock the Value of Contact Centre Speech and Text Analytics Software"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]Speech and text analytics have given businesses visibility into customer interactions and agent performance for many years. Now, these capabilities are indispensable for organisations that want to improve the customer experience (CX) across all channels of engagement, including bots. Rapid advancements in artificial intelligence (AI) are going to further the benefits of speech and text analytics.<\/p>\n<p>A Genesys study, \u201c<a href=\"https:\/\/www.genesys.com\/en-sg\/resources\/customer-experience-in-the-age-of-ai?ost_tool=blog&amp;ost_campaign=ft-blog\" target=\"_blank\" rel=\"noopener\">Customer experience in the age of AI<\/a>,\u201d revealed that 70% of CX leaders surveyed identify AI as crucial to their operations in the next two to three years. With AI-powered advancements, speech and text analytics have become essential tools for enhancing efficiency, driving personalised customer experiences and enabling real-time decision-making.<\/p>\n<h2>AI\u2019s Vital Role in Speech and Text Analytics<\/h2>\n<p>Speech and text analytics software processes and analyses large datasets to extract valuable insights from customer interactions, such as recorded calls, bot interactions, email and chat transcripts. These tools harness AI\u2019s capabilities to <a href=\"https:\/\/www.genesys.com\/en-sg\/blog\/post\/connect-the-dots-in-your-data-with-customer-journey-analytics\" target=\"_blank\" rel=\"noopener\">analyse customer sentiment<\/a> and agent empathy, identify trends, and pinpoint areas for improvement that enable better decision-making.<\/p>\n<p>At its core, speech and text analytics software empowers organisations by surfacing data that provides a clearer understanding of customer satisfaction, frustration points and roadblocks they\u2019ve hit while trying to get service. It is the foundation of conversational intelligence. Armed with this knowledge, businesses can drive targeted improvements that enhance both customer and employee experiences, at scale.<\/p>\n<h2>Key Components of Speech and Text Analytics<\/h2>\n<p>Modern speech and text analytics software uses AI-driven algorithms that process both voice and digital interactions \u2014 and provide transcriptions in real time.<\/p>\n<p><strong>Key components include:<\/strong><\/p>\n<ul>\n<li>Speech recognition technology: Converts spoken language into text for analysis.<\/li>\n<li>Natural language processing (NLP): Understands the context and meaning behind customer conversations.<\/li>\n<li>Sentiment and empathy analysis: Identifies the agent and customer emotions of interactions.<\/li>\n<li>Actionable insights: Used to improve knowledge that fuels recommendations during current customer interactions.<\/li>\n<\/ul>\n<p>These capabilities are essential for delivering a seamless, efficient and personalised customer experience.<\/p>\n<h2>Major Benefits of Implementing Speech and Text Analytics<\/h2>\n<p>Speech and text analytics offers valuable insights into customer engagement. These enable you to target specific employee and service improvements.<\/p>\n<h4>Improve Customer Service and Satisfaction<\/h4>\n<p>You can uncover specific areas where your products or services might be falling short. For example, if numerous interactions reveal that customers don\u2019t understand recent pricing changes, businesses can proactively address the issue by creating new knowledge articles. These knowledge articles can then power various use cases, such as website self-service, virtual agent conversations, agent training or real-time assistance with agent copilot.<\/p>\n<p>Using <a href=\"https:\/\/help.genesys.cloud\/articles\/topic-miner-overview\/\" target=\"_blank\" rel=\"noopener\">topic miner<\/a> functionality, you can analyse voice and digital transcripts and discover new topics or recurring phrases. This is done at an aggregate level \u2014 allowing you quick insight into topics that matter across your entire contact centre. This functionality can be used to provide more visibility into gaps and issues that need to be addressed.[\/vc_column_text][vc_row_inner css=&#8221;.vc_custom_1730841873873{margin-top: 2.0em !important;border-bottom-width: 2.0em !important;}&#8221;][vc_column_inner width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;546240&#8243; css=&#8221;.vc_custom_1730824097573{margin-right: 1.5em !important;}&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h5>Genesys Cloud AI: Improve Service Efficiency and Personalisation<\/h5>\n<p>[\/vc_column_text]<div class=\"btn-container  \"><a role=\"button\"  class=\"btn btn-primary\" href=\"https:\/\/www.genesys.com\/en-sg\/resources\/why-companies-choose-genesys-cloud-for-ai-and-automation?ost_tool=blog&ost_campaign=ft-blog\" target=\"_blank\" rel=\"\">Read the eBook<\/a><\/div>[\/vc_column_inner][\/vc_row_inner][vc_column_text css=&#8221;.vc_custom_1730911958637{margin-top: 2.5em !important;}&#8221;]<\/p>\n<h4>Enhance Contact Centre Efficiency<\/h4>\n<p>By identifying patterns and trends in customer interactions, analytics enables you to streamline workflows, reduce call handling times and improve first-contact resolution rates. You can also use these insights to create targeted training programs for agents, ensuring that they\u2019re equipped to handle common issues more effectively.<\/p>\n<p>With the ability to analyse both real-time and historical data, you can make better informed decisions that boost operational efficiency. For instance, AI-driven recommendations can guide agents during live interactions, improving their performance and delivering a more personalised customer experience. Understanding agent skill gaps can also impact performance through training and coaching to improve service and AI routing decisions.<\/p>\n<h4>Extend Customer Insights Outside of the Contact Centre<\/h4>\n<p>Back-office data analysts, business analysts, supervisors and administrators can also use speech and text analytics to take action in their lines of business for quality management and assurance and to improve operations.<\/p>\n<p>For example, if a trend emerges showing that customers are frequently confused about a particular product feature, your support teams can refine marketing campaigns or improve product design.<\/p>\n<h2>Deliver Results with Speech and Text Analytics Contact Centre Software<\/h2>\n<p>When selecting contact centre voice analytics software, choose a solution that supports advanced features capable of changing business outcomes.<\/p>\n<h4>Agent Empathy<\/h4>\n<p>Conversational analytics should go beyond just customer sentiment to also understand, detect, measure and score agent empathy across interactions. Empathy models should be trained to look at both sides of the conversation and gauge whether an agent is able to consider the context of the discussion with a customer and formulate a response that communicates an understanding of the customer\u2019s concerns or questions. And models should continuously train and refine the analytics as data continues to come in.<\/p>\n<p>With customer sentiment and agent empathy together, organisations are empowered to operationalise empathy and upskill emotional intelligence across their contact centre for stronger customer engagements.<\/p>\n<h4>Near-real-time analytics<\/h4>\n<p>This allows businesses to analyse conversations and take fast action. You can uncover insights before they escalate and even quickly adjust your strategy. Supervisors gain a deeper level of responsiveness. For example, if a compliance issue surfaces, you can correct it and quickly update the data used by human agents and virtual agents, and agent copilots \u2013 so that all subsequent interactions follow rules and regulations.<\/p>\n<p>All your customer-facing agents \u2014 whether human or digital \u2014 become better at their jobs as they\u2019re continually and automatically optimised when new speech and text analytics and insights become available.<\/p>\n<h4>Reporting at Granular and Trending Levels<\/h4>\n<p>Granular reports give you detailed insights into individual agent performance, such as compliance adherence and sentiment. This includes how customers are feeling with that agent, the agent\u2019s response and behaviour during the interaction, and whether the problem was resolved. You can use these details to evaluate new agents or to understand how seasoned agents handle tough customer calls \u2014 so new agents can replicate that successful approach.<\/p>\n<p>Other features let you pinpoint behaviour around a specific topic and track improvements over time to see who is driving conversion on this one topic, or what a specific agent is doing. And are they continuing to improve? You should be able to track that data in real time from a performance standpoint across the contact centre, or across queues.<\/p>\n<p>But the big picture is just as important: Let\u2019s say that many customers are telling you they don&#8217;t understand a new rate calculation. You can\u2019t see that looking at only one agent\u2019s interactions and the topics that agent is handling. Supervisors and admins need to see it across all your agents to spot trends.<\/p>\n<p>Trending level data might also reveal anomalies, such as compliance breaks. And trend topics can be reported on for one agent only, for all agents, any specific queue or all the queues. They highlight broader patterns, including emerging opportunities for growth.<\/p>\n<h4>Native Integration with Essential Tools<\/h4>\n<p>To maximise the value of contact centre speech analytics software, it\u2019s essential that the contact centre voice analysis software integrates seamlessly with other systems, including employee performance and workforce management tools. This ensures that insights gained from customer interactions are shared across your organisation, which enables more informed decision-making. Native integration also reduces risks by removing data transfer errors and inconsistencies between disparate platforms.<\/p>\n<p>With a unified view of each customer\u2019s interaction journey, you can more easily give them consistent, personalised experiences across all touchpoints. And as you learn from your analytics, you\u2019re learning about the words and phrases your customers use and search on.<\/p>\n<h4>Conversational Intelligence for Smarter Interactions<\/h4>\n<p>Conversational intelligence understands the context of what&#8217;s happening in a conversation and makes a real-time response based on that. It does so by combining real-time and post-interaction analytics to fuel real-time intelligence, extending your tools to become far more useful.<\/p>\n<p>The analytics on the back-end influences the AI so that it reads the context and understands the best response. It\u2019s a highly effective way to improve customer experiences as the results are delivered through bots, virtual agents and assistive tools, like <a href=\"https:\/\/www.genesys.com\/en-sg\/blog\/post\/genesys-cloud-agent-copilot-deep-dive\" target=\"_blank\" rel=\"noopener\">agent copilots<\/a>. These tools need their models trained with data you\u2019ve captured and analysed.<\/p>\n<p>Let\u2019s look at a simple and common use case. When a customer has an upcoming doctor\u2019s appointment, they might ask which documents to bring to the appointment. If that hasn\u2019t happened before, and you haven\u2019t collected that information and put it in the model, the system won\u2019t know to give customers the right list of documents for that appointment. Yet, with insights from speech and text analytics, you know that other customers have asked that question.<\/p>\n<p>Once that information is identified, you can feed it to the training model. So, the next time a customer asks which documents to bring, the model will surface that information to the agent. This proactive approach enhances the customer experience and reduces the volume of inbound interactions.<\/p>\n<h2>The Value of Natively Built Applications<\/h2>\n<p>Choosing natively built speech and text analytics solutions offers several advantages over third-party integrations. Some of the key benefits include:<\/p>\n<p><strong>Seamless integration:<\/strong> Natively built solutions are designed from the ground up to work seamlessly with other applications, such as agent copilots and virtual agents \u2014 reducing the need for customisation.<\/p>\n<p><strong>Clean data:<\/strong> With a unified data layer, businesses can eliminate the risk of data inconsistencies that often occur when transferring information between systems, including voice call recordings for interactions. Data used for analysis is accurate and reliable.<\/p>\n<p><strong>Reduced maintenance costs:<\/strong> A single, integrated solution reduces the costs associated with maintaining multiple systems. It simplifies the process of optimising and updating the analytics software, as there\u2019s no need to manage multiple versions across different platforms.<\/p>\n<p>&nbsp;<\/p>\n<h5 style=\"text-align: center;\"><em><strong>Look for AI solutions that are clearly designed with data protection in mind. \u00a0<\/strong><\/em><\/h5>\n<p>&nbsp;<\/p>\n<h2>Protecting Customer Data<\/h2>\n<p>As businesses adopt more advanced text and speech analytics tools, protecting customer data remains a top priority. Genesys has parameters in place to protect business and customer data as it\u2019s being analysed. This includes practices such as data masking of sensitive information like credit card numbers and birthdates during the analysis process.<\/p>\n<p>But data traverses many business systems and needs protection at every stage. That need drives our <a href=\"https:\/\/www.genesys.com\/en-sg\/definitions\/what-is-ethical-ai\" target=\"_blank\" rel=\"noopener\">AI ethics<\/a> approach and protocols. These automatically protect data used by all our products versus data protection designed only for speech and text analytics software.<\/p>\n<p>Genesys trains its embedded models with curated, trusted data across multiple industries, languages, use cases, dimensions and more. With stringent AI ethics guidelines, we incorporate privacy design principles during development. These guardrails protect the individual\u2019s right to privacy from the outset and we don\u2019t do add-ons after development.<\/p>\n<h2>Take Advantage of Insights from Speech and Text Analytics<\/h2>\n<p>Speech and text analytics have evolved into the brain of contact centre operations, providing organisations with the insights they need to optimise performance, improve customer support and drive growth. From enhancing agent performance to fueling predictive analytics and enabling proactive customer service, it offers major benefits.<\/p>\n<p>&nbsp;<\/p>\n<h5 style=\"text-align: center;\"><em><strong>Speech and text analytics have evolved into the brain of contact centre operations.\u00a0\u00a0<\/strong><\/em><\/h5>\n<p>&nbsp;<\/p>\n<p>As businesses continue to rely on data to inform decision-making, the importance of natively built, we believe AI-driven speech and text analytics solutions will only grow. By investing in these tools, organisations can ensure that they\u2019re equipped to meet the evolving needs of their customers and stay ahead in an increasingly competitive market.<\/p>\n<p>Ultimately, speech and text analytics tools aren\u2019t just about understanding what customers are saying. Use the knowledge and insights to transform the way you do business, ensuring that every interaction is as effective and efficient as possible.<\/p>\n<p>Read the eBook, \u201c<a href=\"https:\/\/www.genesys.com\/en-sg\/resources\/why-companies-choose-genesys-cloud-for-ai-and-automation?ost_tool=blog&amp;ost_campaign=ft-blog\" target=\"_blank\" rel=\"noopener\">Why Companies Choose Genesys Cloud for AI and Automation<\/a>\u201d to learn how you can improve service efficiency and personalisation.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]Speech and text analytics have given businesses visibility into customer interactions and agent performance for many years. Now, these capabilities are indispensable for organisations that want to improve the customer experience (CX) across all channels of engagement, including bots. Rapid advancements in artificial intelligence (AI) are going to further the benefits of speech and [&hellip;]<\/p>\n","protected":false},"author":1130,"featured_media":546381,"template":"","tax_priority":[54],"tax_blogtype":[17756],"tax_blogcategory":[15928],"tax_contenttheme":[14902],"tax_bundle":[],"tax_contenttheme2":[18481],"tax_capability_sitewide":[16201,16229],"tax_products_programs":[16477,17548],"tax_buying_job":[16633],"tax_buyer_persona":[16887,16919],"tax_sector":[],"tax_segment":[17079,17104,17125],"class_list":["post-548081","blog","type-blog","status-publish","has-post-thumbnail","hentry","tax_priority-54","tax_blogtype-genesys-en-sg","tax_blogcategory-ai-and-machine-learning-en-sg","tax_contenttheme-improve-customer-experience-en-sg","tax_contenttheme2-level-up-your-technology-en-sg","tax_capability_sitewide-ai-and-automation-en-sg","tax_capability_sitewide-analytics-and-reporting-en-sg","tax_products_programs-genesys-ai-en-sg","tax_products_programs-genesys-cloud-cx-en-sg","tax_buying_job-job-1-problem-identification-en-sg","tax_buyer_persona-business-en-sg","tax_buyer_persona-technical-en-sg","tax_segment-enterprise-en-sg","tax_segment-midsized-en-sg","tax_segment-smb-en-sg","tax_content_type-blog-en-sg"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog\/548081","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/users\/1130"}],"version-history":[{"count":4,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog\/548081\/revisions"}],"predecessor-version":[{"id":548085,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/blog\/548081\/revisions\/548085"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/media\/546381"}],"wp:attachment":[{"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/media?parent=548081"}],"wp:term":[{"taxonomy":"tax_priority","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_priority?post=548081"},{"taxonomy":"tax_blogtype","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_blogtype?post=548081"},{"taxonomy":"tax_blogcategory","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_blogcategory?post=548081"},{"taxonomy":"tax_contenttheme","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_contenttheme?post=548081"},{"taxonomy":"tax_bundle","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_bundle?post=548081"},{"taxonomy":"tax_contenttheme2","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_contenttheme2?post=548081"},{"taxonomy":"tax_capability_sitewide","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_capability_sitewide?post=548081"},{"taxonomy":"tax_products_programs","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_products_programs?post=548081"},{"taxonomy":"tax_buying_job","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_buying_job?post=548081"},{"taxonomy":"tax_buyer_persona","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_buyer_persona?post=548081"},{"taxonomy":"tax_sector","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_sector?post=548081"},{"taxonomy":"tax_segment","embeddable":true,"href":"https:\/\/www.genesys.com\/en-sg\/wp-json\/wp\/v2\/tax_segment?post=548081"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}