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Gain data-scientist expertise from predictive analytics software.

Easily turn big data into your biggest competitive advantage with our predictive analytics software.

Software Statistica


Easy-to-use predictive analytics software brings the analytics to the data

Drive innovation and solve business challenges with Dell Statistica. By embedding analytics everywhere and empowering a wider community, you’ll transform your business and achieve new levels of success.

Make analytic-based decisions the fuel that powers your organization:
  • Embed analytics everywhere: Run any analytics, on any data, anywhere, to drive better decisions across your organization ― without breaking the bank.
  • Empower more people: Improve collaboration among data scientists, business analysts and business users within a single workbench.
  • Accelerate innovation: Quickly and easily uncover hidden opportunities by analyzing all data ― streaming or at rest.
Real-time data discovery and visualization
  • Enables business analysts, knowledge workers, managers and executives to effortlessly collaborate and explore data through interactive dashboards and visualizations.
  • Makes it fast and easy to get the answers you need through interactive drilldowns and discovery.
  • Connects to streaming data feeds from various sources to help you understand changing data in real time.
In-database and in-Hadoop analytics
  • Eliminates performance bottlenecks by taking your math to the data, wherever it lies. Lets you create and score predictive models in-database, e.g., SQL Server, or directly within Hadoop.
Simplifies big data analytics
  • Provides easy-to-use recipes and templates for data mining, predictive analytics, machine learning, forecasting and text mining on big data.
  • Combines technologies such as Hadoop, for scalability and performance, with Lucene/SOLR search, Mahout machine learning and advanced natural language processing.
  • Enables advanced analytics on any data ― whether it’s structured, semi-structured or unstructured ― from any source, including relational databases, NoSQL databases, cloud or on premises.
Streamlines implementation and deployment
  • Provides a cost-effective, fully integrated, configurable, cloud-enabled software platform that you can deploy in minutes, on-premises or within the cloud through Microsoft Azure.
  • Uses industry-standard scripting languages along with native R integration. Deploy models with PMML code, as well as SAS®, Java®, Teradata® and SQL.
  • Reduces burden on IT by offering an agnostic, flexible, customizable and embeddable architecture that complements existing IT investments.
Empowers your business
  • Gives both business users and sophisticated analysts an easy-to-use solution with quick-start data mining recipes and analytic workflow templates.
  • Streamlines data blending, interactive data discovery, visualization and deployment.
  • Provides a complete platform that supports the entire analytics lifecycle ― including model management, combining business rules and analytic models for real-time scoring ― at a lower price than other enterprise solutions.
Extracts actionable insights from text
  • Delivers next-generation information retrieval with a rich search and visualization engine that combines analytics and search in a single, unified environment.
  • Enhances your operational agility and gives you a competitive advantage with out-of-the-box extraction and analysis capabilities that uncover actionable intelligence in vast amounts of diverse information.
  • Allows you to create content processing workflows with drag-and-drop functionality.
  • Gives you the flexibility to configure functional widgets for individual analysis needs.
  • Provides you with open-source search indexing of complex, faceted metadata.
  • Offers language analysis for lemmatization, stop words, parts-of-speech and more.
  • Provides you with automatic suggestions based on extracted metadata.
  • Specifications

    Compatible with Windows® XP, Windows Server® 2003 and 2008, Windows Vista® and Windows 7 and 8.

    Client requirements

    Windows XP (Windows 7 or above recommended)
    512 MB RAM (1 GB recommended)
    500 MHz processor (2.0 GHz, 64-Bit, dual core recommended)

    Windows Server 2008 R2 or later

    2 GB RAM (8 GB recommended)
    1.0 GHz processor (2.0 GHz, 64-Bit, dual core recommended)
    2.5 GB disk space
    100 Mb/s or faster network bandwidth
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