GIS Needs Assessments
    
Taking a Closer Look to Define your Mapping Needs

Defining Your Needs
The first step in implementing an enterprise-wide mapping system is to assist companies in defining its internal operational mapping needs. A GIS needs assessment answers the following mission-critical question

Mission Critical Questions

Where are we now with regard to using mapping data?
Where do we need to go?
What do we need to do to get there?

A Needs Assessment Addresses:

Evaluation
Evaluating the content, accuracy and adequacy of existing data sets and maps across departments;

Data Identification
Identifying data needs in relation to work function requirements;

Data Requirements
Determining data set and mapping requirements for implementation in GIS;

User Identification
Defining how potential users will use the GIS;· Identifying potential GIS applications for each department;

Staff & Training
Identifying staff training issues related to implementation;

Improvements
Identifying areas for potential process improvements and data sharing

The Benefits
The specific benefits resulting from using GIS are wide-ranging. Properly constructed, an enterprise-wide GIS can support:

Analysis of Mapping Data
By adding a visual component to spatial mapping data, GIS involves the integration of many varying layers of information. This integration then allows in-depth engineering analysis of the data by showing the relationship between the various layers. The presentation and analysis is repeatable and allows the retention of supporting data, so that the analysis can be viewed as reliable.

Decision making
Executives, engineers and other decision-makers can use GIS to gather and present relevant information for issues on which decisions must be made. Unlike traditional information systems, GIS allows the graphic presentation of data and provides reliable data for making sound decisions.

Return on Investment
GIS can return value for the investment in the system. This may take the form of reduced review time, sustainable decisions, and the successful analysis which reveals alternative solutions to area problems. Increases in data management efficiency usually leads to improved productivity and new products and services.


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