Developing a Geospatially-Aware Strategic Plan for Your Organization

What is Strategic Planning and Why Does it Matter?

Strategic planning is one of the most important things you can do for your organization. It helps you not only paint the picture of where you want your organization to be in the future, but also draws the roadmap for how you’re going to get there. 

Having goals is crucial for any business. Companies generally don’t thrive and grow by accident. However, having those goals is only the first step. You need to know what the steps to reaching them are, what challenges lie in the way, and what you’re going to do when those challenges arise. The better your plans, the quicker you can address the challenges.

Key Factors in Developing a Strategic Plan

It is equally important to know both where you want your organization to be in five years as well as next year. Your short-term goals will act as checkpoints along the journey to your long-term goals. While articulating these, you’ll want to make sure to craft a clear mission statement to help bring your entire organization into alignment on where the ship is trying to steer and why.

Geospatial tools can be helpful in accomplishing your goals. There are a variety of ways they can help you provide useful insights that support your organization’s operations. Geospatial tools can help you determine the best areas for expansion, understand your supply chains in greater depth, reveal location-based trends in your consumers, and so much more. The more exact your understanding of your business and customers is, the more sure you can be in your next steps and your plan. 

A key step in formulating your strategic plan is conducting a SWOT analysis. All four components – your strengths, weaknesses, opportunities, and threats – can be examined in greater depth through geospatial insights. 

If one of your strengths is a particular location of your operations, there are many geospatial factors that can be contributing to that. Spatial analysis using demographic data such as census blocks and local parcel data can help you understand the population within proximity to the store. This information can be used to characterize new locations with similar populations. Geospatial tools can create an easily understood map that helps your leadership visualize results without having to sift through pages and pages of data.

Perhaps a weakness of your operation is high distribution cost and long turn-around time for acquiring inventory. Geospatial tools can provide a deeper understanding of your supply chain in a manner that’s easy to understand. They can help to optimize distribution points in relation to upstream suppliers and downstream retail locations. It can also help to identify gaps that may require new supplier relationships to fill.

When analyzing the opportunities, understanding geospatial factors can help capitalize on them. If you want to expand your operations in the Northeast, a geospatial analysis of commercial locations could tell you what parcels are ideal to target based on municipal taxes, proximity to distribution channels, demographic make-up for sourcing labor and finding consumers, and environmental factors such as frequency of natural disasters. 

Similar analysis can help identify potential threats that may have been previously unrecognized. As you’re looking at expanding in the Northeast, perhaps you notice there’s a very limited number of properties that ideally suit your needs, and the majority of them that exist are already owned by one of your competitors. This presents you with an opportunity to reassess your market entry strategy. 

Devise a Strategy

After completing your SWOT analysis, you’ll want to put pen to paper on your strategic plan. Be sure to make the steps in your plan actionable, clear, and measurable. Your steps and strategies should align with your organization’s values and mission statement. Incorporating geospatial analysis into your plan of action is important, as well. Geospatial insights can provide excellent visualizations of data and progress towards your goals. 

Execute Your Strategy

Executing a strategic plan across all business departments ensures alignment, efficiency, and goal achievement. Effective communication fosters collaboration, breaking down silos between teams. Proper resource allocation optimizes budgets, personnel, and technology, preventing inefficiencies. A well-integrated plan leverages geospatial skills and tools, placing them where they add the most value—whether in logistics, marketing, or risk assessment. 

This enhances decision-making, improves operational efficiency, and boosts competitiveness. Geospatial insights drive location-based strategies, ensuring businesses optimize site selection, route planning, and customer targeting. A strategic, cross-departmental approach maximizes the impact of geospatial tools, leading to smarter business decisions and sustainable growth.

Evaluate and Control

Monitoring progress on a strategic plan requires tracking KPIs to measure success and identify areas for improvement. Geospatial KPIs, such as delivery efficiency, store performance by location, or market penetration, provide location-based insights to optimize decisions. Regular analysis ensures alignment with business goals, allowing for timely adjustments. By leveraging real-time geospatial data, businesses can refine strategies, improve resource allocation, and adapt to changing market conditions for sustained success.

Common Challenges and Solutions

Change is often met with uncertainty. It’s important to foster a culture of open communication and honesty about the direction of the organization with all your players on all levels of all departments in order to get everyone on the same page. Here, geospatial analysis can contribute to ensuring that decisions are data-driven. Maps are a great communication tool for aligning your organization around your goals.

Another common problem with effective implementation of a strategic plan is working with inadequate data. Data collection has to be the number one priority of your organization at all levels in order to ensure that data-driven decisions can be made accurately and effectively. In a geospatial context, ensuring that all tools being used enable location as a first-class citizen is paramount. This way, all data collected is location aware from the onset of your plan’s implementation. 

Commonly, geospatial tools and data are stovepiped and underutilized. Modern geospatial systems can live side-by-side with other line-of-business tools used in strategic planning and monitoring, such as ERP and CRM. It is no longer necessary to have fully dedicated geospatial tools and expertise that resides outside of mainstream business systems. Ensuring that geospatial analysis is tightly integrated will help ensure that strategic data-driven decisions are also location-aware.

Conclusion

Most organizations understand how location affects their operation, but the cost and effort of integrating geospatial analysis into strategic decision-making is often seen as too high. Modern geospatial tools and practices, when deployed in targeted ways, can ensure that location is properly accounted for in goal-setting and execution. If you’d like to learn more about how Cercana can help you maximize the value of location in your strategic planning, contact us here.

The Importance of Metadata in Geospatial Data Portfolio Management

Managing geospatial data effectively is an important challenge for organizations that use location information for decision-making. Portfolio management for geospatial data involves organizing, evaluating, and prioritizing datasets to maximize their value while minimizing redundancy, inefficiency, and cost. However, such data carries a unique set of challenges that require deliberate strategies to address. Metadata management plays a pivotal role in tackling these challenges and ensuring the success of decisions made using geospatial data.

Common Challenges in Geospatial Data Portfolio Management

  1. Data Volume and Scalability
    Geospatial datasets, such as satellite imagery, LiDAR point clouds, and real-time sensor feeds, are often massive. Managing, storing, and processing these large datasets efficiently is a significant hurdle, particularly as data sources expand.
  2. Redundancy and Lack of Interoperability
    Duplicate datasets and inconsistent data formats (e.g., GeoJSON, Shapefiles, TIFF) are common in organizations, leading to inefficiencies, confusion about authoritative sources, and integration challenges.
  3. Temporal Dynamics and Versioning
    Geospatial data changes over time, reflecting real-world dynamics. For example, the construction of new housing drives updates to data used to infrastructure. Managing frequent updates, preserving older versions, and tracking the lineage of datasets can be complex without clear policies and systems in place.

How Metadata Can Assist with Geospatial Data Portfolio Management

Metadata is structured information that describes, explains, or makes data easier to retrieve, which in turn helps us use or manage the data more efficiently and effectively. It acts as the foundation for effective geospatial portfolio management. Here are a few examples of how.

  1. Enhancing Discoverability and Accessibility
    Metadata catalogs provide searchable descriptions of datasets, including their geographic extent, data format, resolution, and temporal details. This makes it easier for users to find and use relevant data, reducing duplication and ensuring faster decision-making. Think of it as a “card catalog” that allows us to assess relevance up front without the need to inspect the detailed data each time.
  2. Ensuring Data Integrity and Governance
    Metadata tracks data lineage, accuracy, and ownership. This allows organizations to identify authoritative datasets and maintain quality. Governance policies embedded in metadata ensure compliance with usage restrictions and access controls.
  3. Managing Temporal Data and Versions
    Temporal metadata captures timestamps and tracks changes across versions, enabling users to conduct historical analyses, reproduce results, and audit decisions. Metadata-driven automation can flag datasets for updates or archiving based on predefined lifecycle policies.
  4. Promoting Interoperability
    Metadata includes technical details such as coordinate reference systems (CRS), formats, and schemas, ensuring compatibility across platforms. Adopting standardized metadata frameworks further enhances data sharing and integration. While this information is often available on the data set itself, using metadata allows for a more efficient pre-fetch step prior to accessing the full data.
  5. Aligning Data with Strategic Goals
    Usage metadata highlights datasets that are most frequently accessed or tied to critical projects, helping organizations prioritize investments and demonstrate return on investment (ROI). This type of metadata often doesn’t reside in metadata documents, but is rather derived from monitoring tools. As a result, a multi-faceted approach to metadata is often needed for effective portfolio management.


Tools and Techniques for Maturing Geospatial Metadata Management

  1. Metadata Catalogs
    Tools like GeoNetwork, CKAN, and ArcGIS Metadata Editor allow organizations to create centralized repositories for metadata, enabling users to search, access, and manage geospatial data efficiently.
  2. Metadata Standards
    Adopting international standards such as ISO 19115, INSPIRE, Dublin Core, or FGDC ensures consistency in how metadata is structured and interpreted. Standardization improves interoperability across tools, teams, and organizations.
  3. Automation and Integration
    Automating metadata generation and validation saves time and reduces errors. Tools like FME or scripts built with GDAL can extract metadata from datasets and update catalogs dynamically. Cloud platforms like Google Cloud Data Catalog or AWS Data Exchange integrate metadata management with broader data workflows.
  4. Version Control and Temporal Metadata
    Solutions like PostGIS with PgVersion, or Esri’s geodatabase tools help manage changes and historical versions of datasets. This ensures traceability and simplifies temporal analysis. Such tools can be complicated and increase workloads, so they require up-front consideration and testing before adoption.
  5. Training and Policies
    Building organizational expertise in metadata standards and enforcing clear policies for metadata creation and maintenance ensures long-term success. Regular, automated audits of metadata completeness and accuracy are also essential.
  6. Tuning
    Metadata standards can be complex and maintaining metadata to full compliance can be cumbersome. It is important to assess the level of completeness that is appropriate for your data and use case. It can be tempting to anticipate how others may use your data, but remaining focused on your own use case can be a good way to tune your metadata and reduce the overhead its management introduces to your organization.

Conclusion

Metadata is an important component of geospatial data portfolio management. It enhances discoverability, enforces governance, promotes interoperability, and supports lifecycle management, addressing the most significant challenges of managing geospatial datasets. Investing in the creation of intentional metadata practices as well as leveraging tools and automation allows organizations to realize the full potential of their geospatial data, aligning it with strategic objectives and maximizing its value.

To learn more about how Cercana can help you optimize your geospatial portfolio, contact us.

Header image: Dr. Marcus Gossler, CC BY-SA 3.0 http://creativecommons.org/licenses/by-sa/3.0/, via Wikimedia Commons