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Bedre analyse og afdæk skjulte muligheder, træf
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Features SAS Visual Analytics

SAS Visual Analytics

Data visualization

  • Web-based, interactive data exploration mode suits the needs of all types of users.
  • Autocharting automatically chooses the graph best-suited to display the selected data.
  • Geographical map views provide a quick understanding of geospatial data.
  • Choropleth maps make it easy to visualize measurement variances over a geographical area.
  • “What does it mean” capabilities automatically identify and explain the relationships between variables.
  • Exploration capabilities are available for in-memory server data sources.
  • Graphical skins can be applied for 3-D appearance and light effects on visuals.
  • Compelling visuals include box plots, heat maps, animated bubble charts and more.
  • The toggle feature displays grid lines and lets you adjust axes to optimize viewing.
  • Queries can be changed by selecting items to be displayed from a sidebar or by dynamic filtering and grouping.
  • A resizable overview bar lets you visually subset a portion of data sets with many records (high cardinality).
  • New forecasting capabilities help you explore data to find out what might happen in the future.
  • Thumbnails of recent and favorite items can be viewed.

Easy analytics

  • In-memory server provides fast data analysis.
  • Data can be easily queried from a seamless set of viewing modes.
  • Multidimensional data can be sliced and diced by applying filters on any level of a hierarchy.
  • Drillable hierarchies include expandable and collapsible levels.
  • Viewable descriptive statistics, such as min, max and mean, provide an overall sense of a particular measure.
  • New measures can be calculated and added to any view.
  • Forecasts can be generated on the fly with forecasting confidence intervals included.
  • The most appropriate forecasting algorithm for specific data is automatically selected.
  • Using scenario analysis, see how the forecast would be affected by changing different variables.
  • Ability to interactively generate decision trees to graphically depict likely outcomes. An expert level allows you to modify certain influencing parameters for the tree generation.
  • One-click ability to create time-period based calculations.
  • Custom binning and grouping (based on custom categories).
  • Text analysis, including content categorization.
  • Network diagrams with the ability to display networks across a map, including ESRI maps.
  • Integration with ESRI mapping technology.
  • View can be saved as report packages to share with other advanced data exploration users in Web reports, images or SAS mobile apps.

Robust reporting

  • Web-based, interactive report-building interface is provided for report authors.
  • Data acquisition wizard is available for previewing, filtering or sampling data prior to creating visualizations or reports.
  • Data can be loaded into SAS LASR Analytic Server from within the report design interface.
  • Precision layout capabilities provide flexibility in report layout and design. Stack or group items, use send-to-back or bring-to-the-front capabilities, and more.
  • Custom graph templates and mashups.
  • On-the-fly hierarchies can be created to add drill-down capabilities to visualizations and reports.
  • You have the ability to select predefined filters, set groupings and sorting, and override default formatting.
  • Custom calculations and progressive filters are easily created.
  • A variety of charts are included: bar/3-D bar with multiple lines, pie/3-D pie, line, scatter, heat map, bubble, animated bubble, and tile – all of which allow annotated reference lines to be added.
  • Integration with ESRI mapping technology.
  • Filtering and selection capabilities can be added to reports with easy-to-integrate common action elements such as radio buttons, drop-down/combination boxes, check boxes and sliders.
  • Range-based or threshold-based alerts let people subscribe to reports and receive notices when a report changes.
  • Guest mode for viewing explorations, reports and dashboards without requiring a login ID or password.
  • Seamless integration with SAS Office Analytics and SAS Add-In for Microsoft Office lets users open reports from their Microsoft Office applications.
  • Ability for recipients to add consolidated comments to a report. Mobile users, Microsoft Office users and Web users can all share and view comments in a central location. Comments stay with the reports so everyone can see them.

Mobile BI

  • Native iPad and Android support uses the most popular gestures and capabilities, including zoom, swipe, etc., to optimize ease of use and user engagement.
  • Flexible layouts let you create content tailored to different business needs.
  • Link indicators enable data brushing as defined while creating reports. A selection in one indicator is applied as a filter or selection in the related indicator(s).
  • Reports can be viewed securely on mobile devices either online or offline.
  • New collaboration support includes the ability to annotate, share and email reports to others.
  • Screenshots can be captured and comments shared with others.
  • Alerts are sent to mobile devices when reports are updated.
  • Integration with third-party vendors, such as Good Technologies and Mocana, provides mobile device management.

High-performance in-memory analytic server

  • Uses in-memory analytics to quickly conduct exploration and analysis.
  • Designed to run in a single-server mode for smaller organizations and departments.
  • Optimized for distributed environments to use the parallel processing capabilities of many nodes to scale as your organization and data grow.
  • Integration with Hadoop for performance optimization and scalability.
  • Can be used on commodity hardware, on database appliances or in a cloud.

IT administration

  • Easy-to-use Web-based interface for IT administration.
  • SAS information assets, including users, servers and data, are easily managed.
  • Data structures are easily translated into terms everyone can understand.
  • Support for star schemas within SAS LASR Analytic Server. They can then be used for reporting or exploration just like other tables.
  • User authentication and information authorization supports data governance.
  • Data is loaded to in-memory servers based on volume, frequency of updates and scalability needs.

Flexible deployment

  • Traditional on-premises deployments:
    • Single server with support for Windows servers is appropriate for small to midsize organizations.
    • The distributed mode is easily expandable to support growing data demands (on either database appliances or commodity hardware).
  • Cloud deployments:
    • Public cloud providers, including Amazon EC2 Web Services.
    • Your own private cloud and/or virtualized data centers.
    • The SAS Cloud.
  • SAS Solutions OnDemand:
    • Provides a customized experience with SAS Solutions OnDemand for private hosted cloud services.
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