Analysis of a top-down bottom-up data analysis framework and software architecture design

Data analytics is currently a topic that is popular in academia and in industry. This is one form of bottom-up analysis, where insights are gained by analyzing data. System dynamics is the opposite, a top-down methodology, by gaining insight by analyzing the big picture. The merging of the two methodologies can possibly provide greater insight. What greater insight that can be gained is research that will be required in the future. The focus of this paper will be on the software connections for such a framework and how it can be automated. An analysis of the individual parts of the combined framework will be conducted along with current software tools that may be used. Lastly, a proposed software architecture design will be described.

Department dc:contributor.department

Massachusetts Institute of Technology. Institute for Data, Systems, and Society.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2014

Author dc:creator

• Wirsch, Anton

Advisor dc:contributor.advisor

• Stuart Madnick.

• Institute for Data, Systems, and Society.
• System Design and Management Program.
• Engineering Systems Division.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/107346

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/107346