What's New in DPL 9

New Features in DPL Release 9

DPL Professional Version:

• More Flexible Modeling: Decision Tree or Influence Diagram Focused

  Select which modeling mode you prefer: decision tree-focused, influence diagram-focused, or no preference (i.e., split halfway). Build your model entirely in the view you prefer.

• Modeling Ease-of-use Improvements

  Multi-select any object in the Influence Diagram or Decision Tree to make multiple changes at once. Manipulate the decision tree via streamlined and more intuitive use of the mouse.

• Graphical Output Improvements

  Exercise full control over the marker size in all charts and the percentiles and labels displayed in Risk Profiles.

• New Time Series Percentile Chart

  Visualize cash flow over time for all your initial decision alternative to gain a complete picture of how uncertainty evolves over time.

• Selective Attributes:

  ot a lot of attributes? With this feature you can slim down your Fat Policy Tree by selecting which attributes are displayed.

• Perform a Subtree and Continue:

  Just like it says -- perform a subtree and then continue descending the tree with further events so you can define your decision problem with precision.

• 64-bit Executable

  Exploit the scalability of the 64-bit Windows architecture.

• .XLSX Conversion

  DPL now does Excel XML: convert an .xlsx/.xlsm spreadsheet to a DPL Program for a huge performance boost.

• Multiple-objective Functions

  Who's making that decision? Optimize multiple objective functions simultaneously within a single model to get a handle on the actions of partners and adversaries.

• Parallel Endpoint Recording

  Divide and conquer by running a large model on several different machines.

• Allow Event Already Active

  Need to model a decision-problem in which it's most convenient to encounter the same event more than once on a path in the tree? (example: sequential oil well drilling decisions) Models these types of problems with ease by enabling the "Allow even already active and halt with penalty value" feature.

• Enhanced API and Improved Database Performance

  Expanded functionality for embedding DPL in an automated decision support system and better database connectivity under the covers.

• DPL does BIG Data

  Estimate probabilities and discover conditional relationships to predict the target event so you can go from big date mining to making the big decision.

• New Given Success and Subtree Attributes

  Calculate key metrics given success and under other conditional scenarios automatically as part of a portfolio run.

• .CSV Definition of Portfolio

  When just defining the portfolio is half the fun, manage your list in Excel or another program and import it into DPL with just a few clicks.

• Element Definition Based on SQL query

  Dynamic project selection based on projects' characteristics in the portfolio database.