KnowledgeREADER is an industry-first application that brings a new age of integrated customer intelligence by combining visual text discovery and sentiment analysis with the power of predictive analytics
Easy-to-use, detailed and visual document extraction and analysis
Enrich your text discovery process with robust text mining functionality that provides you with access to Natural Language Processing (NLP), sentiment analysis, text discovery dashboard, association discovery maps, document exploration/sentiment markup, classification, and entity and theme extraction.
Interpret human language in the most meaningful way
Best-in-class Natural Language Processing provides you with the most meaningful data insights by breaking down pieces of text into grammatical elements to interpret the vagueness of customer speech.
Take sentiment analysis to the next level and get more granular with your insights!
Comparison analysis enables users to compare sentiment to detect similarities and differences in sentiment distribution across datasets, data sources or text analysis conducted at different points in time. This enables you to identify important changes within the data and isolate areas to target for reducing costs or increasing revenues.
Improve the exploratory power of your models with text analysis – for greater ROI
Users can merge unstructured and structured data to perform data mining and predictive analytics within a single application. The results of text analytics can now also be used to build predictive strategies around customer acquisition and retention, cross sell and upsell, next-best-offer, claims fraud reduction, customer service routing, warranty analysis and more.
Don’t lose your customer in translation
Native language packs greatly enhance the accuracy of sentiment analysis and catch many nuances that are usually lost in translation. KnowledgeREADER offers multi-language support for English, French, Spanish, Portuguese, German, Chinese (Mandarin), Korean, Italian, Dutch, Japanese, Malay and Singlish languages.
Get the inside scoop on what your customers are saying about your brand and why
Ever wonder how your brand is perceived in the market by your customers? Trend analysis provides insight into how and why customer sentiment changes over time by tracking sentiment across the most important entities, themes, topics and sentiment phrases discussed by your customers.
Improve interaction with your customers
Association analysis, via a visual map, allows users to uniquely discover how terms are used in relation to each other in order to identify the context surrounding trending themes and topics. Users can easily determine what topics are often mentioned with a negative or positive sentiment to identify the next steps and enhance customer interaction.
- Visual Text Discovery Dashboard
- Sentiment Analysis and Sentiment Categorization
- Extraction of Topics, Themes, Entities, and Sentiment-bearing phrases
- Comparison Analysis
- Trend Analysis
- Syntax Matrix technology
- Association Discovery
- Document Summarization and Sentiment Markup
- Automated creation of a dataset for predictive modeling and association analysis based on text analysis results
- Best-in-class Natural Language Processing (NLP), Sentiment Analysis, Classification, and Entity and Theme Extraction
- Predictive analytics allows you to perform data mining and predictive analysis on merged text and structured data
- Angoss best-in-class Decision Trees and patent-pending Strategy Trees to design and deploy predictive strategies
- Text acquisition using the In-Database connector or data import drivers (from text, Excel, SAS, SPSS, and R data files, and databases)
- Multiple language support for English, French, Spanish, Portuguese, German, Chinese (Mandarin), Korean, Italian, Dutch, Japanese, Malay and Singlish languages
Optional Products for Added Functionality
Effectively communicate your advanced analytic results with decision makers.
Angoss native charts, graphs, and reports make every stage of the data mining process easily interpretable. The integration of Tableau visual analytics further enhances Angoss’ visualization capability by providing users with access to Tableau dashboards directly from within the Angoss workflows.
No need to export data to other environments.
In-database analytics takes predictive modeling and analysis to the next level by providing an efficient and cost-effective way for organizations to enhance their data exploration capabilities through an optimized analytical processing environment—within the database—to accelerate decision making and identify opportunities they can act on.
ADVANCED DATA PREPARATION
Reduce data prep time by more than 40%.
Drastically reduce data prep time and coding time with KnowledgeCORE™, an advanced data mining and predictive analytics software that enables you to:
- Write and execute programs in the language of SAS, R and SQL
- Reduce coding time with pre-built code functions
- Run all analytics tasks in a single application – no need to export to other environments
- Create charts and plots using the language of SAS
KnowledgeCORE’s data prep, statistical, advanced modeling functionality can be seamlessly integrated with Angoss’ KnowledgeSEEKER and KnowledgeSTUDIO.
Program in multiple languages in a single environment.
For improved collaboration between users and departments, Angoss enables programming in the languages of R and Python, directly from within the software. To enhance the user experience, the programming languages can be directly embedded in the Angoss workflows.
Automate the decisioning process and improve business agility and speed-to-action.
Real-time scoring delivers intelligent, real-time scores or recommendations to operational systems during customer interactions to support timely decision making. By automating the decisioning process and reducing deployment time, companies improve productivity, business agility, and performance.
Put your best models forward – faster!
Automate and streamline the management of your Angoss models with KnowledgeMANAGER™, a secure, compliant, organized and easily accessible framework for model:
The user-friendly, web-based interface facilitates easy access to all models stored in the model repository. Visual monitoring and alerts enables users to measure the accuracy and performance of models ensuring that only the best models are used for production.