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What are some common pitfalls and mistakes to avoid when implementing GIS scaling?

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GIS scaling is the process of increasing the capacity and performance of a GIS system to handle larger or more complex data sets, users, or requests. Scaling can involve upgrading hardware, software, network, or data architecture, or adopting cloud-based or distributed solutions. However, scaling is not a simple or straightforward task, and it can pose various challenges and risks for GIS professionals and organizations. In this article, we will discuss some common pitfalls and mistakes to avoid when implementing GIS scaling, and how to overcome them.

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Nicolas Holm

GIS & AI Innovator | Author of Data at the Edge | Instructor at CIFAL York University
Ahmed Hamed, PE, MS, MBA, CFM

Water Resources Engineer

1 Lack of planning and testing

One of the biggest mistakes that can derail a GIS scaling project is not having a clear and realistic plan and testing strategy. Scaling requires careful analysis of the current and future needs and goals of the GIS system, as well as the available resources and constraints. Without a plan, you may end up wasting time, money, and effort on unnecessary or ineffective scaling solutions, or encounter unexpected issues and errors that compromise the quality and functionality of the GIS system. Moreover, without testing, you may not be able to identify and resolve potential problems or bottlenecks before they affect the end users or the data integrity. Therefore, you should always plan and test your scaling solutions before deploying them to the production environment.

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2 Poor data management

Another common pitfall that can affect the success of GIS scaling is poor data management. Data is the core of any GIS system, and it needs to be organized, updated, and secured properly to ensure its accuracy, reliability, and usability. However, scaling can introduce new challenges and complexities for data management, such as data duplication, inconsistency, fragmentation, or corruption. For example, if you scale your GIS system by adding more servers or databases, you need to ensure that the data is synchronized and replicated correctly across all the nodes, and that the data access and permissions are controlled and monitored. Otherwise, you may end up with conflicting or outdated data that can compromise the analysis and decision-making processes.

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Jamie Coulter

GIS Analyst - Cypres Solutions
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Data management and planning for future growth is something that should be done right from the start, not when you need to grow. Hardware, software, backup systems, staffing, etc. are components that can be added relatively simply. Restructuring your data can be costly and time consuming, and what you need your data to do for you in year 1,2,3 may not be what you need to do in later years.

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3 Inadequate security and backup

A third mistake that can jeopardize a GIS scaling project is not paying enough attention to security and backup. Scaling can increase the exposure and vulnerability of a GIS system to cyberattacks, data breaches, or natural disasters. For instance, if you scale your GIS system by moving it to the cloud or using third-party services, you need to ensure that the data and the system are protected by adequate encryption, authentication, and authorization mechanisms, and that you comply with the relevant data privacy and security regulations. Moreover, you need to have a backup and recovery plan in case of any data loss or system failure. Otherwise, you may risk losing or compromising your valuable data or facing legal or reputational consequences.

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4 Insufficient training and support

A fourth pitfall that can hamper a GIS scaling project is not providing enough training and support to the staff and the users. Scaling can change the way a GIS system works, looks, or behaves, and it can require new skills, knowledge, or tools to operate or maintain it. For example, if you scale your GIS system by adopting a new software or platform, you need to train your staff and users on how to use it effectively and efficiently, and how to troubleshoot any issues or errors that may arise. Moreover, you need to provide ongoing support and guidance to ensure that the scaling solutions are working as intended and that the users are satisfied and engaged. Otherwise, you may face resistance, frustration, or confusion from your staff or users, which can affect the productivity and performance of the GIS system.

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Ahmed Hamed, PE, MS, MBA, CFM

Water Resources Engineer
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To effectively scale GIS projects, a solid understanding of both theoretical concepts and specific tools is crucial. In hydraulic and hydrologic modeling, scaling tools like ArcHydro can add significant detail, but this must be supported by accurate field data collection, such as survey data. Simply adding every inlet and outlet within a watershed without the necessary input parameters can actually decrease model accuracy. Achieving high-quality GIS outcomes requires a balanced approach that incorporates both theory and practical data collection.

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5 Unrealistic expectations

A fifth mistake that can undermine a GIS scaling project is having unrealistic expectations about the outcomes and benefits of scaling. Scaling can improve the capacity and performance of a GIS system, but it cannot solve all the problems or challenges that a GIS system may face. For example, scaling cannot fix poor data quality, faulty analysis, or ineffective communication. Moreover, scaling can have trade-offs or limitations, such as increased costs, complexity, or maintenance. Therefore, you should not expect scaling to be a magic bullet or a one-time solution, but rather a continuous and iterative process that requires constant monitoring, evaluation, and adjustment.

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Nicolas Holm

GIS & AI Innovator | Author of Data at the Edge | Instructor at CIFAL York University
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When it comes to GIS scaling, good communication within your team is essential. Scaling involves many people – data providers, software developers, IT specialists, and end-users – so making sure everyone understands the plan and their roles can make a big difference. Avoid issues by having regular meetings to check in on progress, share updates, and talk through any concerns. Also, keep a record of the scaling process to build a knowledge base for future reference. This helps you learn what works and what doesn't, which can be valuable for your next project. Just remember that scaling is an ongoing process, and staying connected with your team is the key to success.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are some common pitfalls and mistakes to avoid when implementing GIS scaling?

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4

5

6

1 Lack of planning and testing

2 Poor data management

3 Inadequate security and backup

4 Insufficient training and support

5 Unrealistic expectations

6 Here’s what else to consider

Geographic Information Systems (GIS)

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What are some common pitfalls and mistakes to avoid when implementing GIS scaling?

1

2

3

4

5

6

1 Lack of planning and testing

2 Poor data management

3 Inadequate security and backup

4 Insufficient training and support

5 Unrealistic expectations

6 Here’s what else to consider

Geographic Information Systems (GIS)

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