FICO® Analytics Workbench™

FICO® Analytics Workbench™

Bessere Entscheidungen treffen durch Nutzung der Leistungsfähigkeiten von Machine Learning und Explainable AI

Produktinformationen

FICO® Analytics Workbench™ is an integrated suite of state-of-the-art advanced analytics capabilities that empowers companies to improve business decisions across the customer lifecycle. With it, data scientists can build superior decisioning capabilities using a wide range of tools, including machine learning (ML) and Explainable Artificial Intelligence (AI).

Analytics Workbench enhances the best of open source data science and machine learning with innovative intellectual property from FICO to deliver world-class capabilities to discover, combine and operationalize predictive signals in data. It's built on the leading FICO® Decision Management Platform, to allow new predictive models and strategies to be deployed into production with ease.

Demo ansehen

 

Bessere Entscheidungen schneller treffen

FICO® Analytics Workbench™ gives data scientists access to sophisticated yet easy-to-use data exploration, visual data wrangling, decision strategy design, and Explainable AI and machine learning. Working with business analysts, these teams can tackle a diverse set of business problems with stronger, more collaborative solutions that deliver better decisions.

Vertrauen in KI aufbauen

FICO's advanced suite of Explainable AI technology allows you to understand model performance and eliminate bias at both global and instance levels. This empowers you with a detailed understanding on why given outcomes were recommended - for each customer and for the model overall.

Effektive Entscheidungsfindung operationalisieren

FICO offers a suite of resources to help you deploy advanced decisioning in a consistent, easily repeatable way. Our team of world class data science and business domain experts have deep experience in a variety of specific use cases and algorithms. This complements your existing staff to accelerate upskilling programs and knowledge transfer on proven methodologies for the responsible use of machine learning in regulated environments.

FICO® Analytics Workbench™ wraps modeling with data preparation, wrangling, and consistent enterprise-wide deployment through the FICO® Decision Management Platform™, affording a cost-effective and easy way to evaluate, customize, deploy and scale high-impact predictive analytics and decision management solutions.

FICO® Analytics Workbench™ Diagram

Innovate without limits

  • High-performance analytics, machine learning and Explainable AI
  • Support for top data science languages, including Python, R, SQL, and Scala
  • Extends open source libraries and utilities for data analysis and visualization
  • Repeatable analytic notebooks and environments can be built, shared, and re-used by others
  • Apache Spark-powered scalability

Self-service visual data exploration and wrangling

  • Explore, uncover, and correct problems with the raw data with or without writing code
  • Filter, cleanse, and enrich the data with simplicity
  • Quickly diagnose and wrangle using smart, pre-built templates, and apply honed recipes to the full data set
  • Upload and explore data visually
  • Wrangle delimited text files into shape and handle special or missing values to ensure high data integrity

Boost predictive power with proven scorecards

  • Easily create divergence scorecards for binary targets with a Scorecard wizard
  • Train scorecards to quickly identify the most predictive variables with manual or stepwise variable selection
  • Intuitively visualize fine and coarse bin statistics with a graphical binning editor, to easily combine and split bins, and make a binning finer or coarser
  • Precisely control algorithm parameters, such as penalty parameter, auto-cross constraint thresholds, and stepwise variable selection entry and exit thresholds

Intuitive insights for rapid strategy deployment

  • Build new strategies and combine policy rules with data-informed splits to meet specific guidelines
  • Augment existing strategies with data to spot segments where additional segmentation is needed
  • Test alternative strategies by adding new variables, created through exploratory wrangling or machine learning
  • Evaluate strategic segments to ensure alignment between treatment and key business metrics
  • Deploy strategies for rapid operationalization of your predictive models