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Data Driven Decision Support and Analytics Platform for Enterprise Operations
Dashboard for Intelligent Collaborative Engineering
Data Driven Decisions @ The Ohio State University
Industrial and Systems Engineering
DICE
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d
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Agenda
 1. Motivation
 2. The Conceptual Model
 3. Key Features
 4. How to Use DICE?
 5. Demo
 6. Advanced Topics
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d
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1. Motivation
Data
Data
Users
 How should we make it easy to for the users to get useful
information from the data?
 How to make use of information for better decisions?
 How to promote collaboration and knowledge sharing?
 With modern sensors and databases, manufacturing
operations data are ubiquitous …
d
d
d
2. The Conceptual Model
Data
Data
Users Small App
- nugget of knowledge for analytics
- simple, intuitive, interactive
- inter-connected (navigable)
- searchable, bookmark-able
Host the knowledge in the cloud
Information
- Easy to build
- Easy to use
- Easy to maintain
- Easy to grow
- Easy to reuse
Natural language query
d
d
d
3. Key Features
 1. Simple and intuitive user interface
 Natural language query
 Interactive answer pages
 Bookmarks
 2. Centralized community-supported knowledge base
 Host “nuggets of knowledge” in the cloud
 Collaboration and knowledge sharing
 3. Integration with various database sources
 SQL/ODBC
 Data interface with various commercial software packages
 4. Advanced data analysis and visualization
 Integration with Matlab, Octave
 Present the data with various graphical charts
 Simulation and optimization for data driven decisions
d
d
d
4. How to Use DICE?
 Use DICE
 1. Ask questions and get answers
 As simple as using Google search
 2. Bookmark useful pages for revisiting them later
 As simple as using the web browsers
 Contribute to DICE
 1. Answer queries submitted by other users.
 Enable users help each other and share knowledge
 2. Develop small DICE Apps based on the data and users’ need
 DICE is an open platform that can host a rich collection of small apps
 DICE make it simple and easy for the users to get service from the apps
d
d
d
5. Demo
To experience DICE, please visit: http://datadrivendecisions.osu.edu/dice
d
d
d
6. Advanced Topics
 For more information about:
 DICE System Architecture
 DICE Natural Language Query
 DICE Decision Simulation
 DICE User’s Guide
 DICE Installation and Maintenance
 DICE App Development
 DICE vs. Web Search Engines
 DICE vs. Business Intelligence Tools
 DICE vs. Simulation Tools
 DICE Apps vs. Web-based Applications
 Please visit: http://datadrivendecisions.osu.edu/dice

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Dice overview

  • 1. d d d Data Driven Decision Support and Analytics Platform for Enterprise Operations Dashboard for Intelligent Collaborative Engineering Data Driven Decisions @ The Ohio State University Industrial and Systems Engineering DICE
  • 2. d d d Agenda  1. Motivation  2. The Conceptual Model  3. Key Features  4. How to Use DICE?  5. Demo  6. Advanced Topics
  • 3. d d d 1. Motivation Data Data Users  How should we make it easy to for the users to get useful information from the data?  How to make use of information for better decisions?  How to promote collaboration and knowledge sharing?  With modern sensors and databases, manufacturing operations data are ubiquitous …
  • 4. d d d 2. The Conceptual Model Data Data Users Small App - nugget of knowledge for analytics - simple, intuitive, interactive - inter-connected (navigable) - searchable, bookmark-able Host the knowledge in the cloud Information - Easy to build - Easy to use - Easy to maintain - Easy to grow - Easy to reuse Natural language query
  • 5. d d d 3. Key Features  1. Simple and intuitive user interface  Natural language query  Interactive answer pages  Bookmarks  2. Centralized community-supported knowledge base  Host “nuggets of knowledge” in the cloud  Collaboration and knowledge sharing  3. Integration with various database sources  SQL/ODBC  Data interface with various commercial software packages  4. Advanced data analysis and visualization  Integration with Matlab, Octave  Present the data with various graphical charts  Simulation and optimization for data driven decisions
  • 6. d d d 4. How to Use DICE?  Use DICE  1. Ask questions and get answers  As simple as using Google search  2. Bookmark useful pages for revisiting them later  As simple as using the web browsers  Contribute to DICE  1. Answer queries submitted by other users.  Enable users help each other and share knowledge  2. Develop small DICE Apps based on the data and users’ need  DICE is an open platform that can host a rich collection of small apps  DICE make it simple and easy for the users to get service from the apps
  • 7. d d d 5. Demo To experience DICE, please visit: http://datadrivendecisions.osu.edu/dice
  • 8. d d d 6. Advanced Topics  For more information about:  DICE System Architecture  DICE Natural Language Query  DICE Decision Simulation  DICE User’s Guide  DICE Installation and Maintenance  DICE App Development  DICE vs. Web Search Engines  DICE vs. Business Intelligence Tools  DICE vs. Simulation Tools  DICE Apps vs. Web-based Applications  Please visit: http://datadrivendecisions.osu.edu/dice