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Data Driven Decision Support and Analytics Platform for Enterprise Operations
Dashboard for Intelligent Collaborativ...
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Agenda
 1. Motivation
 2. The Conceptual Model
 3. Key Features
 4. How to Use DICE?
 5. Demo
 6. Advanced Top...
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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?...
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2. The Conceptual Model
Data
Data
Users Small App
- nugget of knowledge for analytics
- simple, intuitive, interacti...
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3. Key Features
 1. Simple and intuitive user interface
 Natural language query
 Interactive answer pages
 Bookm...
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4. How to Use DICE?
 Use DICE
 1. Ask questions and get answers
 As simple as using Google search
 2. Bookmark u...
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5. Demo
To experience DICE, please visit: http://datadrivendecisions.osu.edu/dice
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6. Advanced Topics
 For more information about:
 DICE System Architecture
 DICE Natural Language Query
 DICE Dec...
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Dice overview

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DICE: Dashboard for Intelligent Collaborative Engineering. The software provides a platform for data-driven decisions involving enterprise operations

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Dice overview

  1. 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. 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. 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. 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. 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. 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. 7. d d d 5. Demo To experience DICE, please visit: http://datadrivendecisions.osu.edu/dice
  8. 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
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