KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE

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1 POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE Most Effective Modeling Application Designed to Address Business Challenges 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. Angoss offers the best tool for decision trees that we have seen Forrester Research 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 1

2 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 managed solutions for organizations with complex requirements 2

3 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) 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 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. - Enhanced versions of the best original Decision Tree methodologies CART, CHAID, C4.5 - Fine tuning of parameters and attributes for extensive algorithm control 3

4 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 automatic code generation, including SQL, SAS, SPSS, PMML, and Java code 4

5 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 departments, with the integration of the 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 models, subject to business constraints and rules, in order to minimize loss and maximize profits. 5

6 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 Corporate Headquarters 111 George Street, Suite 200 Toronto, Ontario M5A 2N4 Canada Tel: European Headquarters Enigma House 30b Alan Turing Road The Surrey Research Park Guildford, Surrey United Kingdom, GU2 7AA Tel: +44 (0)

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