June 28, 2016

Dashboard Designer

New Features:
  1. Export Properties in map
  2. Dynamic range in data grid
  3. Chevron Base type for bar and group bar chart
  4. Language and locale features in dashboards
  5. Cluster type group bar chart
  6. HTML editor for formatted descriptions in textbox component
  7. Vertical/Horizontal positioning options to position multiple components evenly
  8. Bar indicator and Sparkline alerts in data grids
Enhancements:
  1. Z-index adjustments for components
  2. Preference to set Selected Item Color
  3. Touch events revamp
  4. Avoiding data load flickers
  5. Improved notification controls
  6. Toggle visibility of scorecard header

BizViz Survey

New Features:
  1. Filter option to analyze section
  2. Show rule
  3. Views/analytics report
  4. Help section
  5. Survey template and question library
Enhancements:
  1. Option to preview the survey in desktop, tablet, and mobile
  2. Moving some UI code to server side to avoid browser issues
  3. Making survey a 100% independent plug-in

Platform

New Features:
  1. ActiveMQ Advanced
    1. Dead Letter Channel
    2. ActiveMQ Persistence
  2. Platform Core
    1. Error Handling with Code
    2. Cube Alert and Notification
    3. Cube Size Calculation
    4. Increased Number of column, rows, dimensions, and measures
    5. Increased Number of records inside cube
    6. Cube refresh options
    7. UI Template
  3. Documentation Migration
    1. PA Data Models
Enhancements:
  1. Large Data processing
  2. Filtering on cube
  3. Memory Optimization
  4. ODATA Enhancement
  5. Cube View Synchronization
  6. Platform cxf service documentation
  7. GC Environment on each class and method
  8. Dedicated connection engine
  9. Schedule Data Fetch
  10. Optimization POC

Social Media Browser

New Features:
  1. Filter out unwanted post from Facebook via spark mllib
Enhancements:
  1. Landing screen for SMB module.

Predictive Analysis:

New Features:
  1. Big Data Connectors for Predictive
    • HDFS
  2. Spark Integration
    • Live Status of Spark jobs
  3. Compare Model
  4. Read and Write Model
  5. Apply Model
  6. Delete Connection
  7. Compare Model in Spark
    1. Multiple Workflow
    2. Data Caching
  8. Performance
    1. Classification
    2. Classification(Binomial)
  9. Data Split
  10. Validation Component
    1. Train validation
    2. Cross validation
  11. Share Model
    1. Permission in User Management
    2. Share Model to User/Group
    3. Copy Model
  12. Data Preparation Layer in Spark
    1. Data Type Definition
  13. Spark Naïve Bayes
Enhancements:
  1. Collapse of navigation area to make more space to work area
  2. Updated Log with component name and number of rows fetched
  3. After run, result of each component can be viewed on selection of component
  4. Search Option for Entire Tree Node