KnowledgeSEEKER™
B R O C H U R E
POWERFUL SEGMENTATION,
STRATEGY DESIGN AND
VISUALIZATION SOFTWARE
Applying a predictive strategy to reach a desired business goal is one of the most important steps in the decision analysis process. Regardless of the data source - sales, marketing, customer, product or
financial – organizations are looking for ways to predict trends and find opportunities, identify customer needs, create offers that resonate with a particular audience and the list goes on. In order to generate revenue, stay competitive in the marketplace, and to increase customer satisfaction, companies are looking for predictive analytics applications that will easily capture relationships and identify patterns found within their data to pursue customer segments that are most likely to perform a particular action.
Widely known for its industry-leading, patented Decision Trees, its intuitive and interactive graphical user interface, and automated workflows,
KnowledgeSEEKER is a data mining and predictive analytics software tool helping data analysts and business users with data exploration and
segmentation, model and strategy development, evaluation, and deployment.
Most Effective Modeling
Application Designed to Address
Business Challenges
• Predictive analytics applications are complex and have a long learning curve • Many analytics applications require
statistical programming skills
• Expensive training and consulting is often required with predictive analytics
software
• Decision Trees used in most predictive analytics applications lack interactivity and rich graphical interface
• Analytics software products on the market are expensive and do not provide value for money spent
• Traditional BI and reporting tools cannot provide predictive insights to improve business decisions
• Most predictive models are not easy to explain to business stakeholders • Lack of integration and model
deployment options for data exchange and exporting models to other
environments
• Lack of streamlined way to use model predictions for building strategies in a single application results in lower productivity
KnowledgeSEEKER™
B R O C H U R E
KnowledgeSEEKER’s fundamental data mining and predictive analytics capabilities such as data
preparation, profiling, visualization, Decision Tree analysis, strategy design and deployment, will take the user through an analytics journey that answers questions such as “What is likely to happen” and “What should I do?”
KnowledgeSEEKER is unique in its universality and efficiency. It is generally used by customers across a multitude of industries and departments such as credit risk, fraud, marketing, sales, and CRM analytics.
The easy-to-use application with an automated canvas for building, displaying, refreshing and reusing analytic workflows, drastically increases data mining efficiency by more than 40%.
KnowledgeSEEKER Features
• Easy-to-Use GUI with a powerful
automated workflow canvas enables the creation of workflows in minutes
• Best-in-Class Decision Trees for segmentation analysis and modeling • Ensemble Trees built with Bagging,
Boosting, and Random Forest algorithms
• Unique Strategy Trees for prescriptive analytics
• Segment Viewer for the identification of candidate predictive attributes
• Data Preparation and Profiling for easy extraction, manipulation and
transformation of data for modeling • Model Analyzer featuring versatile model
evaluation and comparison, metrics, and charts
• Model Deployment via scoring, code generation, for easy integration with other platforms
• Range of deployment options
including on-premise licensed software, cloud-hosted software, and fully
KnowledgeSEEKER™
B R O C H U R E
KnowledgeSEEKER
Differentiators
• The easy-to-use graphical user interface is rated
to be one of the best in its category by industry analysts and users. Fast and easy to learn, it is a point-and-click, workflow and wizard-driven interface that also supports batch processing.
• Best-in-Class Decision Trees outperfom the
competition, allow automatic and manual growth, and visually display results for easy interpretation. (See Decision Tree differentiators pg.3 & 4)
• Ensemble Trees allow you to create multiple trees
in one go and combine them in a single ensemble tree model using the Random Forest, Bagging, and Boosting algorithms. Ensemble models can perform better and are less prone to overfit than individual models.
Features Continued
• Advanced visual analytics available via Tableau integration
• Optional In-Database analytics for direct data mining within a database
• Optional real-time scoring engine for timely decision making
• Integration with R and Python programming languages
Angoss Decision Tree
Differentiators
• Complete and versatile toolset for building & exploring segments, discovering variable relationships, variable reduction, and predictive modeling
• Powerful set of algorithms and
techniques for tasks of any complexity - Enhanced versions of the best
original Decision Tree methodologies CART, CHAID, C4.5
KnowledgeSEEKER™
B R O C H U R E
• Unique Strategy Trees are the first of its kind for building and deploying prescriptive strategies. Users are able to combine customer segments, scores, business rules and calculations, and apply user-defined treatments and actions in order to support decisioning and the development of business strategies, actions and optimization.
• Segment Viewer can be used as a qualitative
assessment tool to identify candidate
predictor variables for use in modeling. It displays the distribution charts of the independent variables segmented by the categories of the dependent (target) variable. This allows for easy
identification of variables with markedly different distributions across the target categories.
• Visual Analytics via 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.
• Workflow automation allows the user to
construct data mining process flows - from data extraction and preparation to model evaluation and deployment – using an intuitive
drag-and-drop interface. Entire workflows and individual nodes can be easily re-run on updated or refreshed data inputs.
Angoss Decision Tree
Differentiators Continued
• Exceptional flexibility of the
segmentation process and better user control
- Trees can be grown manually by creating splits with custom settings or ‘auto-grown’ using segmentation algorithms, or a combination of both • A highly intuitive interface that is easy to
learn and use
- Exceptionally easy navigation with pan, zoom, variable search
capabilities, collapsing/expanding branches, numbering and tagging of nodes
- No need to write code, no programming skills required
- Multiple profiles of trees that can be docked for side-by-side viewing • Ease of validation and deployment
- Trees can be exported for
deployment in other analytical and database environments using
KnowledgeSEEKER™
B R O C H U R E
• Automatic SAS code generation for the entire
project workflow or any of its stages.
• Accurate and stable analytical algorithms and
techniques used are industry-proven methods having undergone many years of testing and validation.
• Easy integration into other analytical
environments enables data import and export to/from Text, Microsoft Excel, SAS, SPSS, R, Hadoop, and databases via ODBC. Automatic code generation for Angoss models can be deployed in other rules engines and
environments. Code types include SQL, SAS, SPSS, Java, PMML, XML, and structured English code.
KnowledgeSEEKER is the most effective and easy-to-use tool designed to help advanced quantitative analysts and business analysts to explore and segment data, develop and deploy models and strategies in varied business and application areas.
... KnowledgeSEEKER is a scalable application that grows with your organizational needs and provides users with the flexibility for added functionality such as:
• Improve collaboration between users and
languages of R and Python, all within a single environment. To enhance the user
experience, the programming languages can be directly embedded in the Angoss workflows. • In-Database analytics for direct data mining on
data stored in a database as opposed to working on a copy of the data.
• Real-time scoring engine delivers intelligent, real-time scores or recommendations to operational systems during customer
interactions to support timely decision making and speed-to-action.
• Advanced data preparation, statistical, and modeling functionality in the language of SAS via KnowledgeCORE™ integration. Users can write programs in the language of SAS and use custom programs and pre-built functional nodes within Angoss analytic workflows.
• Model management capability via
KnowledgeMANAGER™ for modelers looking to store, compare, monitor and score models to ensure that only the best models are put into production.
• Optimization capability via
InsightOPTIMIZER™, enables organizations to optimize their sophisticated predictive
KnowledgeSEEKER™
B R O C H U R E
About Angoss
Angoss is a global leader in delivering predictive analytics to businesses looking to improve performance across risk, marketing and sales. With a suite of big data analytics software solutions and consulting services, Angoss delivers powerful approaches that provide you with a competitive advantage by turning your
information into actionable business decisions.
Many of the world’s leading organizations in financial services, insurance, retail and high tech rely on Angoss to grow revenue, increase sales productivity and improve marketing effectiveness while reducing risk and cost. Headquartered in Toronto, Canada, with offices in the United States, United Kingdom and Singapore, Angoss serves customers in over 30 countries worldwide. For more information, visit www.angoss.com.
Corporate Headquarters 111 George Street, Suite 200 Toronto, Ontario M5A 2N4 Canada
Tel: 416-593-1122
European Headquarters Enigma House
30b Alan Turing Road The Surrey Research Park Guildford, Surrey
