3.2 Patterns of Use

• Maintaining: – Functional: Solutions support business process for selected departments. Some awareness and training but limited to power user’s departments. Limited collaboration and communication. GIS governance exists but is limited or minimal. Funding limited to a single source with project injections. – Technical: Key GIS solutions are deployed but departments require GIS staff to maintain all aspects of data and sharing. Data modeling and/or object intelligence is present in a few core datasets. Some manual and\or paper processes are still in place. Automation and integrations exist for a few key areas. Software versions are updated infrequently. • Enabling: – Functional: Solutions support business process for selected departments. Some awareness and training but limited to power user’s departments. Limited collaboration and communication. GIS governance exists but is limited or minimal. Funding limited to a single source with project injections. – Technical: GIS solutions are deployed across departments for business improvement (productivity, service, quality, etc.). Department resources support solutions with modest assistance. Data models and object intelligence are used to ensure data quality and streamline data maintenance. Metadata exists at the feature class level for most datasets. Data automation and integrations have removed most paper and manual processes. Current software versions are used. • Optimizing: – Functional: GIS solutions are being used to create new capabilities or business strategies. A high level of organizational awareness of GIS has been achieved. Collaboration and communication are frequent, and stakeholders participate in regular reviews and assessments to keep GIS aligned to business needs. Multiple funding sources inject capital to support the growth and modernization of GIS and system integrations. – Technical: GIS fully supports enterprise applications. GIS data is maintained using best practice data models which fully support existing and planned business processes. Metadata exists for all GIS data at both the feature class and feature levels. Attribute and spatial indexing are set and performing. Current software versions are used.

3.2 Patterns of Use

Maturity assessments and resulting recommendations can further be organized by the level of adoption with nine common use categories, or Patterns of Use. The goal of the expansion and optimization of GIS within an organization should involve all nine Patterns of Use categories, at different levels and times. This assessment evaluates how well the GIS is performing technically and functionally in these areas.

• Mapping & Visualization: Understand locations and relationships with maps and visual representation • Data Management: Collect, organize, and maintain accurate locations and details about assets and resources • Field Mobility: Manage and enable a mobile workforce to collect and access information in the field • Monitoring: Track, manage and monitor assets and resources in real-time • Analytics: Discover, quantify, and predict trends and patterns to improve outcomes • Design & Planning: Evaluate alternative solutions and create the optimal design

• Decision Support: Gain situational awareness, and enable information-driven decision making • Constituent Engagement: Communicate and collaborate with citizens and external communities of interest • Sharing & Collaboration: Empower everyone to easily discover, use, make, and share geographic information

A PDF version of this poster, provided by Esri, can be downloaded from this link: https://community.esri.com/servlet/JiveServlet/download/11529-1194481/ArcGIS_CommonPatternsOfUse_Poster.pdf