So, you are in the market for conversational analytics software.
Ideal, because in this article we have our compilation list for our top picks, and we compare the features and pricing for you.
If you just want the best choice, we’ve added that right at the top of the article as this was what is most requested by our customers. So, that’ll be the “can’t go wrong” option.
Otherwise, feel free to explore all the options we’ve reviewed on the market to find something that might fit you a little better.
Enjoy the list!
The Best Conversational Analytics Software Specifically
Conversational Analytics focuses on monitoring and analyzing customer call records to improve future interactions and lead conversion. A Conversational Analytics software that offers automatic speech recognition, transcription, language processing and tone analysis will be the perfect fit for this category. Have a look at the products below to choose the best Conversational Analytics software:
Verint surfaces meaningful insights across voice and text channels to improve customer experiences and lower costs. It combines speech, text, and desktop analytics to empower your business. By extracting insights from structured and unstructured customer interactions, Verint gives you all the prerequisites to understand clients and support your workforce.
Here are some exclusive features of Verint:
Speech Analytics: Verint's speech analytics solution provides unrivalled transcription and comprehension accuracy. It enables you; to accurately process voice with complete speaker-separated transcription for customer interactions. Moreover, Verint's speech analysis offers AI-driven conversational themes, visual maps and sentiment analysis.
Text Analytics: Verint provides a comprehensive view of customer interactions across channels by using two different purpose-built engines to process speech and text. It enables you to offer channel-specific conversational analytics like chat duration, overtalk and idle time.
Process Analytics: Verint's desktop and process analytics give you the context to fully understand which interactions need improvement and what actions must be taken to drive those improvements. Process analytics are necessary for supercharging your derived insights with context.
Application Visualizer: Verint Application Visualizer gives contact centre managers objective, real-time data on application usage to manage agents, provide feedback and increase the capacity and productivity of on-site and work-from-home employees. With Application Visualizer, you can see the best practices of top-performing employees.
Cloud Platform: Verint is a cloud platform connectable to other data analysis solutions for better insights. With Verint's interaction context, you can improve and automate quality management. Additionally, it enables you to leverage data for multi-modal, omnichannel interaction management.
Verint does not offer any pricing information on its official website, as it offers personalized subscription plans. You can fill out the customer engagement transformation form to get in touch with Verint's sales team.
SAP Analytics Cloud brings together analytics and planning to help you derive unique insights. You can accelerate deployments with pre-packaged best practices for your industry. SAP allows you to simulate any scenario and generate plans from predictions. It drives agile business decisions, helping you scale faster.
Here are some exclusive features of SAP:
Analytics and BI: SAP's intuitive self-service analytics helps you explore data across the organization and deliver insights at the decision point. You can use self-service data modelling to set KPIs and hierarchies while automating data. Additionally, SAP offers interactive visualizations to discover insights and inspire audiences.
Enterprise Planning: SAP drives better business outcomes by creating and linking your financial and operational plans. You can use predictive planning to anticipate business needs and stay agile with forecasting and machine learning. Moreover, SAP allows you to modify versions of the planning model for data-driven budgeting.
Composable Analytics: SAP allows you to tailor analytics and planning applications to meet unique business requirements. You can increase application developer productivity with reusable widgets and flexible APIs. SAP enables users to easily customize and compose analytics applications.
Prebuilt Business Content: SAP offers prebuilt best-practice content packages for businesses to quickly help them get started with data analytics. You can leverage end-to-end tailored packages to work with recommended SAP data sources. Additionally, it helps you realize results quickly by accessing documentation of KPIs.
ESG Reporting and Sustainability: SAP helps you deliver environmental, social, and economic impact with actionable insights and accurate reporting. You can deliver automated and auditable ESG reporting by analyzing your business data. SAP allows you to drive targeted action for sustainability performance.
SAP offers 2 Pricing options for its data analytics platform.
The "Business Intelligence" plan is priced at $36/user/month and offers automation, actionable insights and augmented analytics.
The "Planning" plan has an on-demand pricing quote and offers integrated planning, forecast automation and scenario modelling.
Knime is used worldwide to solve complex problems around human resources, diversity and talent-related data for the company. Knime helps you productionize data science and implement the strategies faster for better impact. With Knime, you can gain valuable hidden insights by merging or transforming different data sets.
Here are some exclusive features of Knime:
Workflow Builder: Knime lets you create visual workflows for data analytics using its drag-and-drop graphical interface. You can model each step of data analysis, control the flow and ensure your work is current. Knime's workflow builder helps you automate data merging and collection so you can focus on analysis and reporting.
Data Shaping: With Knime, you can derive statistics, including mean, quantiles and standard deviations. You can also clean data through normalization, value handling or conversion. Knime helps you detect out-of-range values with its anomaly detection algorithms. Additionally, Knime lets you extract and select features to prepare your data sets.
Machine Learning and AI: Knime allows you to build machine learning models for classification, regression or clustering. You can optimize the model performance with hyperparameter optimization, bagging or building complex ensembles. Moreover, Knime enables you to validate models by applying performance metrics.
Data Insights: With Knime, you can visualize your data in classic or advanced charts. It displays the summary statistics in the Knime table and lets you filter out irrelevant entries. Additionally, you can store processed data or analytics results and export reports to share them with stakeholders.
Execution Scaling: Knime allows you to build workflow prototypes so you can explore various analysis approaches. You can inspect and save intermediate results to ensure the efficient discovery of new solutions. Moreover, Knime lets you exercise the power of in-database processing on Apache Spark.
Knime offers an on-demand pricing quote for its subscription plans. You can click "Pricing" and tap "Contact us". Next, fill out the required form, and Knime's sales team will contact you.
With PowerBI, you can quickly connect to data and prepare, remodel or visualize it. PowerBI mainly works on business intelligence and helps you create amazing data experiences. You can get the most out of your big data investments by connecting your data sources and sharing insights across the organization.
Here are some exclusive features of PowerBI:
Unify Self-service and Enterprise analytics: PowerBI meets both self-service and enterprise data analytics requirements. You can access powerful semantic models, an application lifecycle management toolkit, open connectivity framework and pixel-perfect paginated reports. PowerBI is a flexible platform that serves all business industries.
Industry-leading AI: With PowerBI, you can take advantage of the latest advances in Microsoft AI to build machine learning models. It helps you swiftly find insights from structured or unstructured data. PowerBI has the best-in-market AI capabilities and amplifies your business decisions through quality data insights.
Improved Publishing Efficiency: PowerBI allows you to quickly identify differences and move content from development and testing to production with confidence. Additionally, it ensures your datasets are ready for analysis by preparing them beforehand. PowerBI provides unrivalled publishing efficiency.
Analytics Streaming: PowerBI provides you access to real-time analytics from factory sensors or social media sources. It helps you anticipate negative sentiments around your business or uncover hidden trends so you can make timely business decisions to improve your brand image.
Actionable Insights: PowerBI connects with the Microsoft business ecosystem to help you turn your data into a competitive edge. With PowerBI, you can connect, combine and analyze your entire data estate. Additionally, PowerBI offers unparalleled Excel interoperation by connecting excel data models and reports to its dashboard.
PowerBI offers 2 Pricing options for its business intelligence and analytics platform.
The "Pro" plan is priced at $9.99/user/month and offers live dashboards, self-service analytics and insight sharing.
The "Premium" plan is priced at $20 /user/month and offers all available features of PowerBI.
SAS drives confident decisions, maximum value and faster outcomes. With its fully integrated, open-source, cloud-native technology platform, you can predict how to pivot seamlessly and amplify your progress. Moreover, SAS is familiar with practically every business industry and delivers tailored products for each sector.
Here are some exclusive features of SAS:
Advanced analytics: SAS offers data mining within its platform to help you simplify preparation and interact intuitively using dynamic charts. SAS uses composite AI to help you push the boundaries of innovation and solve problems. With SAS, you can easily predict future trends based on your data sets.
Data Management: SAS' data management technology empowers every process within your organization. It's a crucial part of the SAS platform. SAS helps in transforming analytics programs into big opportunities by deriving insights constantly and unleashing the full potential of your data.
Decisioning: Effective decisioning is crucial for every business to scale swiftly. However, most business decisions are data-driven. SAS prepares your data, so every received insight is actually valuable. It helps you make transparent and explainable decisions to build long-term trust. With SAS Reality-tested AI, you can simulate different scenarios.
Risk Management: SAS recently acquired Kamakura Corporation, a leading risk management software provider for the banking sector. SAS has proven methodologies to help you establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands.
Marketing: SAS reimagines your marketing campaigns with its trusted analytics and powerful decisioning. Adaptive planning, journey activation and a real-time decision engine allow you to create appealing, moments-based customer experiences that boost profitability and brand loyalty.
SAS is available for free on the Azure marketplace. However, you have to incur infrastructure costs.
Why use Analytics Software at all?
Most of the business data like; videos, customer chats, or IoT network input is complex and unstructured. This data is a goldmine for your business, but only when you can use it. Modern data analytics systems that are powered with AI, machine learning and advanced database technologies can help you comprehend and analyze big data.
You can use the insights from data analytics software to make confident and faster decisions. Instead of being buried under an Everest of big data, intelligent technologies like data analytics platforms help you take that mountain and break it down into manageable, organized blocks.
Why should you use Conversational Analytics Software?
Conversational Analytics seeks to break down every call transcript you have going through your call centres. It then gives you the opportunity to identify quantitative and qualitative variables throughout a given call. Conversational Analytics enables you to understand the key variables and factors driving performance.
By incorporating Conversational Analytics, you can combine sales and business acumen with a data-driven culture to create a long-term solution where all stakeholders involved can succeed.
Having all the calls that go through your call centres and the ability to analyze them deeply can greatly benefit your business. You can understand customer concerns and convert more leads by rerouting them.
Additionally, Conversational Analytics simplifies the process of analyzing calls and chats for data-driven insights. You can go through years of call records within minutes by utilizing the power of AI, big data and machine learning.
Conversational Analytics software enables your sales representative and call centre executives to know customer behaviour from past interactions.
Best Conversational Analytics Software, A Summary
Conversational Analytics software is a great tool to empower your call centre and employees by analyzing past phone calls and customer interactions. It helps you uncover behavioural patterns and make strategic business decisions that are beneficial long term.
Verint offers a quality Conversational Analytics platform with sentiment analysis and AI-driven conversational themes. It is our suggested pick for the best Conversational Analytics software. Visit the website to get started.