1 Predictive Analytics Software Suite Predict What Will Happen Next In the face of a complex business environment, the key to success for organizations today is their ability to effectively leverage their vast customer and business data stores to formulate effective strategies and predict business outcomes. Focused on accelerating revenues, increasing profitability, optimizing operations and managing risk, organizations require proven data mining and predictive analytical tools to uncover opportunities and avoid or mitigate risk. The agility to answer complex questions quickly enables optimal and well-calibrated business decisions. Data Mining and Predictive Analytics Software Angoss provides leading data mining and predictive analytics software and industry solutions to many of the world's foremost financial services, telecom, information communication and technology, retail and life sciences organizations. Angoss' software empowers companies to grow revenues, improve sales productivity and marketing efficacy while reducing risk and operational costs. It helps companies discover valuable insight and intelligence from their data while providing clear and detailed recommendations on the best and most profitable opportunities to pursue to improve sales, marketing and risk performance. Companies are now able to create actionable, predictive rules that drive continuous business performance improvements by discovering the patterns in customer and business data, predicting the impacts of alternative business strategies and acting on these insights. KnowledgeSEEKER and KnowledgeSTUDIO with the standard StrategyBUILDER module, combined with big data capabilities, comprise an optimal combination of powerful and flexible analytical tools. ScorecardBUILDER is a robust, end-to-end, scorecard building product which enables credit risk analysts to build and deploy precise, industrycompliant scorecards faster by automating timeconsuming, manual steps and workflow. KnowledgeREADER is an integrated customer intelligence application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management by building upon the data mining and predictive analytics capabilities in KnowledgeSEEKER. KnowledgeEXCELERATOR is a visual data discovery and prediction tool for business analysts and knowledge workers who commonly use Microsoft Excel. These users can quickly import large data sets directly from Excel or any database to segment, classify and visualize their data and uncover the predictive power of their data. Sales and Marketing Customer Segmentation & Profiling Campaign Optimization Lead & Opportunity Scoring Customer Acquisition CRM Analytics Response Modeling Next Offer / Best Offer Customer Retention Risk Management Credit Scoring Credit Scorecards Compliance Fraud and Abuse Detection Collections and Delinquency Origination Revenue and Loss Forecasting Operational Risk Revenue and Loss Forecasting
2 Angoss predictive analytics software is used by marketing and credit risk professionals at leading global corporations including 9 of the top 15 global financial institutions. Companies that compete with analytics are looking for advanced analytical technologies that accelerate decision making and identify profitable opportunities they can act on. Angoss is committed to democratizing the use of advanced analytics with products designed to enable both knowledge workers and data analysts to rapidly solve their most pressing business problems. Predictive Analytics in Action Business users, quantitative experts, data analysts and statisticians alike are able to rapidly generate predictive insights to support decision making at all levels of the organization. By employing analytics, these users help to optimize sales, marketing and risk management operations to create significant business value across critical business areas. Marketing and Customer Analytics Angoss analytics are fundamental to the development and execution of marketing, customer relationship management (CRM) and loyalty programs for many global organizations. Angoss provides flexible, easy to use and economical tools for performing propensity modeling applied to customer lifetime value for: Customer segmentation and targeting Customer acquisition Cross-sell and upsell Churn and loyalty analysis Next best offer, product recommendation Customer lifetime value Collections and Debt Recovery Collections departments around the world have come to rely on the strength of Angoss' analytics, which help to optimize collections processes by identifying clients likely to pay back, estimating amounts to be recovered and evaluating debt portfolios. We use Angoss daily for developing strategies to identify fraud trends and mitigate impacts to the customer experience. This has been extremely helpful in building strategies quickly, as fraud trends change daily. Fraud Abuse and Detection - Top 5 US Bank Insurance companies, government agencies, online merchants, and credit card issuers commonly use Angoss' analytics to develop models that score transactions for the likelihood of fraud and money laundering avoiding significant financial losses. Other Applications Analytics from Angoss are used in a wide variety of industries for various applications including: human resources (such as employee turnover, promotions, and loyalty); channel analytics; tax compliance; medical research; and customer lifetime value analysis. Credit Risk Scoring Financial services institutions, lending organizations and credit departments use Angoss analytics in the development of credit scorecards to screen and monitor customers throughout their credit life cycle.
3 The Business Value of Angoss Analytics Software Angoss predictive analytics software delivers significant value at three tiers of corporate decision-making including strategic, tactical and operational by providing the right tools, to the right people, to optimize business performance. Strategic Value Segment-based, data-driven marketing, risk and collection analytics generate millions of dollars in incremental revenues, cost reduction and loss mitigation. Tactical Value Efficient and intuitive workflows generate faster time-to-results for data discovery, strategy development, validation and deployment. Operational Value Rapid learning curve, as well as easy and efficient software installation, results in low-cost, fast and actionable data insight. The Angoss Advantages Recognized by leading technology analyst firms Forrester, Gartner and Hurwitz & Associates as a leader in customer analytics, predictive analytics and data mining, Angoss delivers market-leading predictive analytics software with rich functionality, ease-of-use and seamless integration into existing processes and technologies. What differentiates Angoss is its broad user acceptance, commitment to open standards, rapid deployment, flexibility, ease of use and affordability with advanced analytical capabilities. Whether it's comprehensive modeling, best-inclass patented Decision Trees, strategy design or automatic code generation, Angoss is recognized worldwide for offering an advanced analytics workbench catering to a wide community of users and skill sets including the business analyst. Business Manager Benefits Rapid learning and faster time to actionable results Flexible, lower cost of resourcing Optimizes every stage of the credit and customer life cycle: acquisition/origination, development, retention and collections From all the vendors we evaluated over a period of five months, Angoss was demonstrably superior in addressing our needs. - Capital Card Services Analyst Benefits Rapid learning curve with highly intuitive and wizard-driven interface Enhanced visualization and efficient workflows Innovative segmentation and strategy design Fast report generation and export to MS Office Non-programming skills environment Combines multiple, advanced predictive analytics and modeling techniques Export to other analytics environments: SQL Server; SAS; SPSS and more IT Benefits Easy and fast installation and configuration Low support requirements Integration with existing analytics and database environments High privacy and security standards: SSL encryption and secure license system Flexible licensing Free installation support No server down-time during installation
4 Building an Analytics Foundation Offered in desktop, client-server and in-database configurations, KnowledgeSEEKER, KnowledgeREADER, KnowledgeSTUDIO and ScorecardBUILDER provide world-class capabilities for data profiling and visualization, Decision Tree analysis, predictive modeling, and scoring and strategy building. Angoss' predictive analytics software suite is distinctly easy to use, agile and visual making predictive analytics uniquely accessible to quantitative/data analysts and business analysts alike. Fast to deploy, rapid to learn and a flexible, easy to use and wizard-driven interface bring advanced analytics to the business user. Decision Trees, models and strategies can be easily deployed into your organization with automatic code generation eliminating the need to write code. Angoss models can be automatically converted into a wide range of the most common code formats, including: SQL, SAS, SPSS, XML, PMML, and Java. Hadoop Integration Hadoop can be used with KnowledgeSTUDIO for data import and as a deployment platform for models created in KnowledgeSTUDIO. Hive, a data warehouse system for Hadoop, facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. By using the MapR Hive ODBC Driver, data can be imported into KnowledgeSTUDIO through its ODBC import functionality. Once the data has been imported into KnowledgeSTUDIO, it can be analyzed and used to create predictive models. After models are created, analysts can quickly generate model scoring code in the Java language that can be used in any Hadoop Map/Reduce job to leverage the Cloud Hadoop clusters for efficient use of resources and scoring of massive datasets.
5 KnowledgeSEEKER Widely used for customer, marketing and risk analytics, KnowledgeSEEKER is a powerful data mining solution which offers data preparation, profiling, data visualization, Decision Tree, Strategy Tree and model performance evaluation capabilities. Business and expert users alike are empowered to perform segmentation and classification analysis, determine relationships among business data variables, and build strategies. In-database analytics allows calculations to be performed from within the data warehouse, which significantly optimizes efficiency and performance. Data import is made simpler through the use of shortcut menu-driven options and wizards. File preview and field transformation features allow users to preview the data being imported, choose the column layout, determine the titles, fields, precision and more. KnowledgeSEEKER handles very large data sets required for analyses. All data sources are supported including files and databases through import drivers for Hadoop, R, SAS, SPSS, Text and Excel files as well as ODBC. Advanced users can manually input SQL expressions to calculate new columns, while others can use wizards for the automatic generation of most commonly used expressions: Binning of discrete and continuous variables Logarithmic transformations Optimal binning using Weight of Evidence aided by decision tree interface Substitution of missing values Calculation of weights for balanced samples Generation of dummy variables Data Preparation KnowledgeSEEKER offers advanced, automated data preparation capabilities with sampling options. Data preparation capabilities allow users to easily extract, manipulate and transform data to prepare it for modeling. Data preparation wizards increase productivity and efficiency and eliminate the need to write code. Dataset-level and row-level manipulations can be performed using the Data menu wizards to join, append, and aggregate datasets and remove duplicate records. Users can quickly and conveniently perform data transformations by creating new derived fields containing high value information from existing baseline data without moving back to the data sources.
6 Advanced Visualization for Data Profiling KnowledgeSEEKER has an extensive array of tools for data exploration and visualization, and generates graphs and charts that are easily understood and can be exported into Microsoft Office applications. When potentially thousands of variables are involved, data profiling charts and reports can provide an excellent starting point for further analysis. Modelers use KnowledgeSEEKER to accelerate model creation. Advanced users can use the segmentation and analysis capabilities to select the most predictive variables for their modeling tasks, and quickly perform coarse classing of variables, with optimal cut-off points for score models, and discovery of key sub-populations that branch into separate predictive models. Overview Report provides univariate statistics such as min/max, mean, standard deviation, sum, variance, number of missing values, etc. Univariate and multivariate distributions are visualized by Dataset Chart, Segment Viewer, and Cross Tabs charts Correlation View shows the degree of linear association between pairs of variables Graphs and charts are easily managed using the Chart Library to save and organize your data exploration and prediction results Best-in-Class Decision Trees KnowledgeSEEKER delivers market-leading innovation through interactive and intuitive Decision Trees. Marketing, sales and risk analysts and business users alike use Decision Trees to understand the causal relationships and key drivers of outcomes in their business data. Using a point-and-click interface, 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. As predictive models, Decision Trees can be validated and scored and their performance can be assessed and compared using lift, cumulative lift, ROC, bias, error, and other model evaluation charts. 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. Moreover, users are able to keep track of all analytical activities conducted for a project using the Process Map. This serves as a point of reference allowing users and stakeholders to keep a record of the workflow applied to each project.
7 KnowledgeSTUDIO KnowledgeSTUDIO builds upon the capabilities provided in KnowledgeSEEKER as an advanced data mining and predictive analytics solution for all phases of model development and the deployment cycle in a high-performance visual environment that provides data analysts with a powerful and scalable data mining and predictive analytics solution. Users can add all of the text analysis capabilities in KnowledgeREADER as an optional add-on. Predictive Modeling and Unsupervised Learning KnowledgeSTUDIO provides comprehensive and advanced data mining and predictive analytics capabilities. It offers Decision Trees, linear and logistic regression, neural networks, cluster analysis, Market Basket Analysis and principal component analysis. Wizard-driven interfaces help users of all levels build effective models, while fine-tuning of model parameters is available for advanced users. Market Basket Analysis Extending support for marketing and sales analytics, KnowledgeSTUDIO includes Market Basket Analysis - which can be used to build strategies for product promotions, placement and cross sell. Aside from discovering association rules, Market Basket Analysis helps you visualize the degree of attraction or repellence between items, view charts representing item associations, rank association rules and apply them to new data to produce recommendations. Automatic generation of SQL code for association rules makes it possible to easily deploy them within database environments. Model Validation and Deployment KnowledgeSTUDIO provides a comprehensive set of capabilities for the assessment and validation of predictive models with an integrated set of scoring and deployment tools. Scorecards Reducing the expense of third-party consultants, or the reliance on generic industry scores, KnowledgeSTUDIO puts the power of scorecard creation in the hands of your staff. Whether for credit risk or for businesses looking to apply the scorecard principles in non-credit risk domains, KnowledgeSTUDIO offers the capabilities to create predictive scorecards that span all customer business processes from acquisition through to collection. Users can apply Reject Inference methods to improve the quality of their credit application scorecards. This reduces selection bias and increases the business value and accuracy of the models by identifying new, low risk customers among previously rejected applicants. Intuitive sampling and validation features include: wizard-driven partitioning and hold-out options; lift, cumulative lift, KS and ROC charts; goodness of fit statistics and profit curves; bias, accuracy and error charts; and scatter plots.
8 Models developed in KnowledgeSTUDIO 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 KnowledgeSTUDIO via Java code generation. StrategyBUILDER As a standard module in KnowledgeSEEKER and KnowledgeSTUDIO, StrategyBUILDER provides the capabilities to design, validate and deploy the necessary predictive and business rules to execute customer, marketing and risk strategies. Strategy Trees StrategyBUILDER provides a familiar tree structure to develop customer segments. For richer segmentation, Strategy Trees allow for the use of multiple target variables and provide more feedback and control with key performance metric calculations (KPIs) for each node or segment. Once segments are developed and KPIs calculated, the strategy development is completed by assigning treatments or actions to the appropriate segments based on business rules and how they relate to your KPIs. These treatments can be activities such as varying credit limits, collections strategy options, or marketing campaign options. Strategy Deployment Analysts can combine data mining models and customer scores with user-defined strategies and treatments to produce highly targeted lists in support of direct and database marketing, as well as credit and collections processes. Smarter lists contribute to increased revenues, reduced costs, and lower risk profiles by helping to improve customer account management, before and after delinquency, while proactively helping to detect and reduce incidents of fraud and abuse. Strategies can be deployed directly by generating treatment lists for target datasets, or by automatically converting strategy trees to SAS, SQL or SPSS program code to be run in an external analytics environment or database. Overall, the 18 month savings related to using KnowledgeSTUDIO in our collections area is $8 Million. Big Data Analytics - Global Financial Institution Angoss In-Database Analytics driver allows analysts to connect directly to a parallelized and optimized data warehouse to perform data preparation, data profiling, data visualization, decision tree analysis, and strategy development taking advantage of significant analytical performance improvements. The driver supports Teradata, Microsoft SQL Server, Oracle and Netezza databases. Both model creation and model execution are supported in the In-Database Analytics mode, which enables complete analytics workflow within the database - from data preparation to model development, to model deployment.
9 ScorecardBUILDER Angoss ScorecardBUILDER is a robust, end-toend, scorecard building product which enables credit risk analysts to build and deploy precise, industry-compliant scorecards faster by automating time-consuming, manual steps. ScorecardBUILDER provides analysts with the ability to create high quality credit scorecards as a seamless step in their analytics workflows. Predictive Power enables users to effortlessly sift through variables and in a matter of minutes select the most predictive variables. Remove selection bias to produce the most effective application scorecards Traditional application scorecards make it difficult for financial institutions to capture all good customers. Reject Inference improves the quality of application scorecards by correcting and minimizing the selection bias and preventing model overfit. This enables lending and credit organizations to maximize their business growth by optimizing the risks and rewards for individual lending decisions. Automate coarse classing with flexible WOE optimizer Develop scorecards more efficiently with automated workflow Strategy Deployment ScorecardBUILDER provides users with a powerful automated canvas for building, displaying, refreshing, and reusing scorecard development workflows. The user friendly visual canvas enables the creation of a scorecard workflow in minutes with a few simple drag and drop steps eliminating the need to write code, increasing efficiency. Select the most predictive variables for best scorecard performance ScorecardBUILDER provides users with a powerful automated canvas for building, displaying, refreshing, and reusing scorecard development workflows. ScorecardBUILDER enables the efficient analysis of thousands of candidate predictors for easy selection of the most predictive, influential variables. Visual exploration of variables with the Characteristic Analysis wizard, Angoss industryleading Decision Trees, and various charts and tables, allows users to see and understand relationships and behaviours. Various Measures of Coarse classing (binning) is necessary in order to aggregate data into stable and statistically significant ranges and develop meaningful target variable trends across these ranges. ScorecardBUILDER automates this traditionally tedious manual task, with a flexible and intelligent Weight of Evidence Optimizer (WOE) reducing time spent on this manual task by up to 50%. The flexible WOE Optimizer allows users to optimize all variables automatically with the click of a button, or by selecting individual variables of choice. The user-friendly interface displays a side by side view of a visual Decision Tree Editor, variable mapping table and line chart. Seamlessly develop customer strategies using scorecard results Develop, deploy and monitor customer strategies directly in ScorecardBUILDER with Angoss Strategy Trees (patent pending) an intuitive, visual and collaborative approach for building and deploying predictive strategies. Users are provided with the ability to combine scorecards with user-defined business rules and key performance indicators (KPIs) in order to produce highly targeted lists to which treatments such as credit limit, collections and marketing campaign activities can be applied.
10 KnowledgeREADER 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. It delivers unparalleled voice of the customer insights to support customer experience management. Unlike pure play text analytics and software as a service (SaaS) offerings, KnowledgeREADER breaks down silos to merge unstructured with structured data; and sentiment and text analysis with data mining and predictive analytics for integrated customer intelligence. Customer intelligence professionals and marketers can easily understand and model customer feedback without relying on data analysts. Advanced users can merge unstructured and structured data to perform data mining and predictive analytics with additional predictive variables for improved accuracy and exploratory power. KnowledgeREADER uniquely offers: Dashboard for sentiment and text analysis Comparison, trend and association analysis Document exploration with sentiment markup Entity, theme and topic extraction Categorization by query and concept topics Profiling, segmentation and predictive modeling using Decision Trees and Strategy Trees Data preparation tools to merge text analysis data sets with structured data Includes in-database analytics and supports data and file import from Database, Excel, CSV, HTML, Word, PDF and Outlook PST files Multiple language support Comparison Analysis KnowledgeREADER allows users to compare sentiment between text analysis data sets. This provides the ability to detect differences in sentiment between two different data sets, or data from the same source at different points in time. Trend Analysis Trend analysis allows users to track sentiment and important terms over a defined period of time. This provides the ability to detect changes in sentiment or customer interests on a daily, weekly, monthly or annual basis. Association Discovery KnowledgeREADER automatically generates a visual representation of the relationship among terms, allowing users to identify the context in which trending subjects are discussed. Document Exploration Document drill-down capabilities allow users to isolate a specific term and view a list of all the documents that contain that term. Sentiment markup highlights all terms of interest and color codes them based on sentiment. Predictive Analytics KnowledgeREADER builds upon the marketleading data mining, Decision Tree and predictive analytics capabilities provided in Angoss KnowledgeSEEKER. It includes Angoss best-inclass Decision Trees and patent-pending Strategy Trees to design and deploy predictive strategies.
11 KnowledgeEXCELERATOR Marketers, managers and business intelligence users are tasked with sifting through massive amounts of data for insights to improve revenue performance and make actionable decisions. KnowledgeEXCELERATOR is ideal for organizations wanting to empower line of business users with data mining and predictive analytics for making informed business decisions. It is a powerful, affordable visual data discovery and prediction tool for business users with minimal data mining and predictive analytics know-how who need to understand their business data and make informed business decisions. Visualize Your Data Illustrate your data discovery and prediction with interactive charts that you can customize, edit, organize and save for sharing and use in reporting and present to stakeholders for decision making. Discover Hidden Insights View the basic characteristics of your data, find interesting patterns, segments, and calculate summary statistics. After importing a spreadsheet or database file, you are guided through a series of questions and steps to visually understand, segment and summarize your business data Feature Highlights Predict Next Best Actions Identify the main variables of interest in your data and discover which variables can be used to predict outcomes. Angoss powerful data mining and predictive analytics engine powers the sophisticated and advanced data discovery and prediction. Import large data files directly from Excel or connect directly to any database through ODBC with one click. Step by step guided workflow for business users without data mining and predictive analytics working knowledge or expertise. Intuitive, simple and visual user interface that eliminates the need for programming skills. Uncover the predictive power of your data without specialized training or relying on data scientists. Angoss Decision Trees provide visual understanding of the relationships between data variables. Visual data discovery allows you to edit, save and organize charts, and manage saved charts in the Chart Library for reporting use.
12 About Angoss Software As a global leader in predictive analytics, Angoss helps businesses increase sales and profitability, and reduce risk. Angoss helps businesses discover valuable insight and intelligence from their data while providing clear and detailed recommendations on the best and most profitable opportunities to pursue to improve risk, marketing, and sales performance. Our suite of desktop, client-server and big data analytics software products and Cloud solutions make predictive analytics accessible and easy to use for technical and business users. Many of the world's leading organizations use Angoss software products and solutions to grow revenue, increase sales productivity and improve marketing effectiveness while reducing risk and cost. Corporate Headquarters European Headquarters 111 George Street, Suite 200 Surrey Technology Centre Toronto, Ontario M5A 2N4 40 Occam Road Canada The Surrey Research Park Tel: Guildford, Surrey GU2 7YG Fax: Tel: +44 (0) Copyright Angoss Software Corporation
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Sequence for Determining Necessary Data. Wrong: Catalog everything you have, and decide what data is important. Right: Work backward from the solution, define the problem explicitly, and map out the data
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