Powerful, Market-Leading Decision Trees for Data Driven Decisions
Widely known for its industry leading, patented Decision Trees and its graphical wizard-driven interface, KnowledgeSEEKER is a data mining and predictive analytics software tool helping data analysts and business users with data exploration, development and deployment of predictive models. It allows users to quickly develop insights to advance their business objectives-unlocking actionable knowledge from their data assets.
Angoss Decision Trees
Angoss Software is highly recognized for its patented, market-leading Decision Trees – which are at the core of KnowledgeSEEKER and provide an intuitive interface for building and exploring segments, discovering relationships between variables, performing variable reduction and much more.
With an easy to use point-and-click interface, Angoss Decision Trees can be grown manually by creating custom splits or automatically using segmentation algorithms, or using a combination of both methods. This visual, real-time exploration aided by many usability features such as pan and zoom, variable search, and copying and pasting splits saves time for significant productivity and efficiency gains.
Angoss Strategy Trees
Unique, patent pending Angoss Strategy Trees are the first of their kind for building and deploying predictive strategies. Strategy Trees combine the usability of Angoss industry-leading Decision Trees with an intuitive, visual and collaborative approach for strategy design, authoring and validation workflow. Strategy Trees combine customer segments, scores, business rules, and calculations – applying user-defined treatments and actions to support decisioning and the development of business strategies, actions & optimization.
Strategy Trees allow users to analyze an unlimited number of key performance indicators (KPIs) within a single graphical tree view – eliminating the need to create multiple trees and compare segments against them. As a result the user gets a holistic view of all strategic options at a glance and greater control over planning next actions.
KnowledgeSEEKER provides users with a powerful automated canvas for building, displaying, refreshing, and reusing analytic workflows. The user friendly visual canvas enables the creation of a workflow in minutes with a few simple drag and drop steps – eliminating the need to write code, increasing efficiency.
Workflow process nodes are simply dragged onto the canvas where they can be connected to form a workflow and run individually or in batch sequentially with the ability to add new data or refresh with the click of a button. The workflow provides instant visual documentation of analytical tasks.
Data Preparation and Profiling
Highly intuitive and easy to use wizards help business users and quantitative analysts save time and obtain the knowledge needed. KnowledgeSEEKER includes data preparation capabilities that allow users to easily extract, manipulate and transform data to prepare it for modeling. Import and connect multiple data sources: join, append, aggregate, remove duplicates and more, for any dataset with data preparation wizards and tools including the Weight of Evidence Optimizer, in order to increase productivity and efficiency and eliminate the need to write code.
KnowledgeSEEKER enables the efficient analysis of thousands of candidate predictors for easy selection of the most predictive variables. Visual exploration of variables with the Characteristic Analysis wizard, Angoss Decision Trees, and various charts and tables, along with various Measures of Predictive Power quickly provide accurate assessments to support variable reduction. After importing and preparing data, a broad range of reports, charts, graphs and views allow users to quickly gain an understanding of their data. Visualization of data is driven by a powerful, easy to use graphical interface.
KnowledgeSEEKER Model Analyzer provides an extensive set of model validation and comparison features as well as model deployment tools. Model performance can be evaluated and compared using lift and cumulative lift charts, relative operating characteristic curves and other charts. All models can be validated against a validation partition or a new dataset. Cumulative Lift and Lift Reports can be created in order to provide a summary of these comparisons. This allows users to provide management with estimated response rates and lift for each individual model.
Models developed in KnowledgeSEEKER can be deployed via scoring, code generation, real-time scoring, or easy integration with other platforms. Models can be deployed directly within the application or automatically translated to SAS, SQL, and PMML code for deployment in other analytics environments or databases. Hadoop can also be used as a deployment platform for models created in KnowledgeSEEKER.
Angoss’ 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. Real-time scoring capabilities are available for the entire Angoss Software Suite.
In-Database Analytics performs data mining and predictive analytics directly on data stored in a database as opposed to working on a copy of the data. Data transformations and scoring and validation for Decision Trees and Strategy Trees are all enabled from within the database. Angoss enables complete analytics workflow within the database—from model development to deployment. Angoss’ In-Database Analytics driver supports Teradata®, Microsoft® SQL Server, Oracle® and Netezza™ databases, with native open database connectivity (ODBC) drivers required for each of these databases. In-database analytics capabilities are available for the entire Angoss Software Suite.
Angoss offers a range of deployment options including on-premise licensed software, Cloud-hosted software for small teams, short-term or project based initiatives, as well as fully managed analytical solutions for organizations with complex requirements that lack analytics staff. Angoss software deployment options are flexible — making predictive analytics accessible and easy to use for all business analytics users and use cases.