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Information and Knowledge Management using ArcGIS ModelBuilder

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Transforming <strong>Information</strong> to <strong>Knowledge</strong> is the Current<br />

Platform for a Successful Political Campaign<br />

Vered Holzmann <strong>and</strong> Ben Holzmann<br />

Tel Aviv University, Tel-Aviv, Israel<br />

veredhz@post.tau.ac.il<br />

benami1@post.tau.ac.il<br />

Abstract: This paper utilizes the data management systems of a political campaign to present a process that<br />

transforms structured <strong>and</strong> unstructured information into knowledge <strong>and</strong> discusses the various aspects of such a<br />

process in the world of political campaigns. A political campaign is a unique type of project that runs normally for<br />

a period of several months. It peeks on Election Day, <strong>and</strong> at the end of the day the project is abruptly terminated<br />

<strong>and</strong> its success, or its failure, is officially published. The project is considered a success if the c<strong>and</strong>idate who is its<br />

sole customer has obtained the majority of the votes casted. An official database that contains basic information<br />

about the eligible voting electorate is issued to every contestant at the beginning of the campaign. This original<br />

database is enriched during the project with information related to the voters, volunteers, budgets, events <strong>and</strong><br />

analyses results thus providing the corner stone for the knowledge structure supporting most of the project’s<br />

managerial decisions. In the quest to underst<strong>and</strong> the nature of knowledge management <strong>and</strong> its roots we limited<br />

our research to the specific arena of political campaigns, where we investigated the impact of the quality of the<br />

original data on the desired knowledge management tools derived from the various data analyses. Another issue<br />

we confronted dealt with the procedures of learning associated with the production of political campaign related<br />

knowledge, where we adopted the concept that knowledge management is a continuous <strong>and</strong> dynamic process<br />

which analyzes archived data from debriefings of past events in order to better underst<strong>and</strong> current trends <strong>and</strong><br />

incidents for the purpose of supporting a constant improvement of managerial decision making habits (Neef,<br />

2005). We further maintain that the efficiency of the knowledge management contribution to the decision making<br />

procedures depends heavily on the accuracy of the original debriefing process of every single incident (Roth <strong>and</strong><br />

Kleiner, 1998). The paper focuses on the analysis of a specific type of project, <strong>using</strong> a detailed description of a<br />

case study to present the nature of its unique characteristics <strong>and</strong> associated various problems. We hope that our<br />

research may contribute a minute addition to the body of knowledge of the two disciplines: information<br />

management <strong>and</strong> project management, <strong>and</strong> might encourage managers of political campaigns to instigate event<br />

debriefings <strong>and</strong> develop effective learning procedures in order to create a knowledge structure that could be<br />

utilized in future campaigns.<br />

Keywords: knowledge management; political campaigns; clustering; learning;<br />

1. Introduction<br />

The notion that an election is the modern democratic method, by which the majority of the members of<br />

any community exercise their power to choose their governing representatives <strong>and</strong> secure their<br />

preferences, is a fairy tale. In reality an election is decided by those who actually bothered to go to<br />

their assigned polling locations <strong>and</strong> actually casted their vote. Normally only a part of the eligible<br />

voting body plays the game. Thus, the outcome of the election represents the preferences of the<br />

majority of merely one segment of the total population, the segment that actually voted. Hence, every<br />

political campaign is in essence a fast track project designed to achieve two objectives. The first<br />

objective is to convince as many eligible voters as possible, that the particular c<strong>and</strong>idate shares most<br />

of their views, <strong>and</strong> will best represent their preferences while in office. The second objective is to<br />

collect <strong>and</strong> maintain a dynamic database containing all the necessary information to mobilize the<br />

entire body of team members, during Election Day, to persuade every supporter to go to his pre<br />

assigned polling station <strong>and</strong> actually cast his vote for the c<strong>and</strong>idate.<br />

A political campaign is extremely complicated to manage due to its rigid schedule, unstable budget<br />

frame, but mostly because of the nature of its employees that are traditionally volunteers. Only a few<br />

professionals can be hired to participate in the project, due to widespread constrains imposed on the<br />

project’s financing system which depends mostly on donations that are controlled by particularly rigid<br />

laws. While these chosen ones are assigned to perform unique political <strong>and</strong> managerial tasks, the<br />

bulk of the legwork is carried out by the volunteers who depend on accurate detailed information<br />

identifying the individuals they must convince to perform their voting duty.<br />

Political campaigns are driven by three engines, the density of the related media, the determination of<br />

the project’s foot soldiers <strong>and</strong> the quality of the project’s information management system. Alas, this<br />

paper investigates only the issue of the information management aspects <strong>and</strong> their part in the<br />

knowledge structure that provides the managerial tools for the campaign management.<br />

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