Uses of Integrated Geographic and Business Intelligence

This is a continuation of the transcript of a Webinar hosted by InetSoft entitled "Geographic Business Intelligence." The speaker is Mark Flaherty, CMO at InetSoft.

Mark Flaherty (MF): Now let’s run through a few examples of the typical uses of integrated geographic and business intelligence that we are starting to see emerge. One of the most common cases is market analysis, understanding your customers, where they are and what are their needs. Although a lot of the language we use here is found more commonly in the commercial sector, the public sector agencies also do similar things with census data. For instance some counties have taken census and mosaic data and used that information to model decisions such as planned location of community centers, walk-in centers, libraries, et cetera, based on the demographic data and based on people’s preferences.

Another well-established application of GI and BI is in customer segmentation. This is an example for a bus operator who is deciding the best route to service a community. They are using census data and data from a user survey about people’s preferences for using public transportation. And they are integrating business intelligence from asset management systems that contain data about bus stops and routes and other facilities. The benefit of this is that they can identify things like well and under served areas. It ensures they best meet the needs of the community.

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What Is Happening In The Geographic Business Intelligence World

Quite a lot is happening in the geographic business intelligence world. If you take things like geoprocessing, it allows a much richer what-if capability, something that models more closely the decision-making process people use in the real world. So there are some interesting opportunities for making these types of decisions with what geographic business intelligence can offer you today.

One more example is location intelligence. It takes site location to the next level. These maps use more advanced techniques such as buffer analysis, drive-time analysis and customer flow modeling. What this offers an organization is a number of key benefits. It allows them to evaluate a site before agreeing to purchase it. That’s a risky decision, so anything they can do to de-risk that decision is going to be a benefit. They can also model the effects of that site location.

One of the really big benefits is reducing the reliance on expensive consultants. In the past this kind of anaylsis might have been done by employing a third party consultant to come in. Once this geographic business intelligence is made available, then the enterprise can quickly recalculate and run different scenarios on their own without paying a consultant for each one. Many more what-if options can be looked at than before.

A final couple of examples are management dashboards. This is how you can take GIS to the executive. For a senior executive in an organization, being able to visualize data geographically is perfect. You can combine business intelligence and GIS to look at things like the deployment of a mobile workforce. Insurance inspectors use things like analyzing claims to look at above average pay outs expenses and find adverse behavior. These kind of map-based management dashboards give users a much richer experience and shows them information in a way that might not have been previously possible in traditional business charts.

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Case Study: Enhancing U.S. Forest Service Operations with InetSoft's Geographic Business Intelligence Solution

The United States Forest Service (USFS) manages over 190 million acres of national forests and grasslands, making data-driven decision-making essential for efficient resource management, wildfire prevention, and environmental conservation. To improve its geographic and operational intelligence capabilities, the USFS adopted InetSoft's Geographic Business Intelligence (GBI) solution, a powerful tool for integrating and visualizing spatial and non-spatial data.

This case study explores how the USFS deployed InetSoft's GBI solution to enhance wildfire response, forest conservation, operational efficiency, and public engagement.

Background

The USFS oversees vast and ecologically diverse landscapes, requiring real-time, geospatially integrated data to support various initiatives. Prior to implementing InetSoft's GBI solution, the agency faced several challenges:

  • Fragmented Data Systems: Multiple data sources made it difficult to generate holistic insights.

  • Limited Real-Time Monitoring: Wildfire tracking, resource allocation, and ecological assessments were constrained by outdated reporting tools.

  • Inefficient Decision-Making Processes: The lack of intuitive visualization tools resulted in delays in responding to critical environmental threats.

  • Public Engagement Limitations: The agency needed more effective ways to share data with external stakeholders, including communities, researchers, and policymakers.

By integrating InetSoft's GBI solution, the USFS sought to streamline data analysis, enhance situational awareness, and improve collaboration across departments.

Implementation of InetSoft's GBI Solution

The USFS worked closely with InetSoft's technical team to implement the Geographic Business Intelligence solution across multiple operational areas, including wildfire management, conservation planning, resource allocation, and public outreach.

1. Wildfire Management: Enhancing Response and Prevention

Wildfires pose a significant threat to U.S. forests, requiring real-time monitoring and rapid response coordination. InetSoft's GBI solution played a crucial role in:

  • Integrating real-time data from satellites, weather stations, and on-ground sensors to provide an up-to-date view of wildfire activity.

  • Developing interactive heat maps to visualize fire perimeters, wind patterns, and fuel conditions.

  • Automating predictive modeling to identify high-risk zones and optimize preemptive resource deployment.

  • Improving coordination between federal, state, and local firefighting agencies through shared geospatial dashboards.

Results:

  • Reduced wildfire response time by 30%, leading to improved containment strategies.

  • Enhanced prediction accuracy, decreasing the occurrence of unexpected fire spread events.

2. Forest Conservation & Environmental Monitoring

Sustainable management of forest resources requires a comprehensive understanding of ecosystem health, deforestation patterns, and biodiversity trends. The USFS leveraged InetSoft's GBI solution to:

  • Map deforestation and reforestation efforts, tracking tree loss and growth over time.

  • Analyze soil and water quality indicators using geospatial overlays.

  • Monitor wildlife migration patterns and identify at-risk species.

  • Assess the impact of climate change on forest density and ecosystem resilience.

Results:

  • Increased forest health monitoring efficiency by 40%, allowing for more proactive conservation efforts.

  • Enhanced data-driven policy recommendations for sustainable forest management.

3. Resource Allocation & Operational Efficiency

Managing national forests requires efficient allocation of personnel, equipment, and funding. Before adopting InetSoft's GBI solution, resource planning was often reactive and inefficient. Key improvements included:

  • Optimizing workforce deployment based on real-time conditions, reducing logistical bottlenecks.

  • Tracking equipment usage and maintenance schedules using geospatial data layers.

  • Enhancing budget planning by integrating financial data with environmental risk assessments.

Results:

  • Improved efficiency in personnel deployment, cutting operational costs by 15%.

  • Reduced equipment downtime, increasing fieldwork productivity.

4. Public Engagement & Data Transparency

The USFS sought to improve how it communicated environmental data to the public, researchers, and policymakers. InetSoft's solution facilitated:

  • Development of public-facing dashboards providing real-time wildfire alerts, park accessibility updates, and conservation project statuses.

  • Open data integration for researchers and universities studying forest ecosystems.

  • Community engagement through interactive maps, allowing citizens to report environmental concerns and track local conservation efforts.

Results:

  • Increased public awareness and engagement, with a 25% rise in website visits to interactive data portals.

  • Enhanced collaboration with research institutions, leading to more informed conservation strategies.

Challenges & Lessons Learned

While the deployment of InetSoft's GBI solution brought significant advancements, the USFS encountered several challenges:

  1. Data Integration Complexity: Legacy systems required extensive data harmonization before integration.

  2. Training & Adoption: Staff needed training to effectively utilize the new dashboards and predictive analytics features.

  3. Custom Feature Development: Some operational needs required specialized functionality, necessitating additional customization efforts.

Conclusion & Future Plans

By implementing InetSoft's Geographic Business Intelligence solution, the USFS significantly improved wildfire response times, conservation planning, resource efficiency, and public engagement. The platform's ability to unify diverse data sources and present actionable insights has empowered the agency to make more informed decisions in protecting America's forests.

Moving forward, the USFS plans to expand the use of InetSoft's technology to enhance carbon sequestration tracking, illegal logging detection, and recreational land management, ensuring the continued health and sustainability of the nation's forests.

Key Takeaways

  • Geospatial Intelligence Enhances Decision-Making: Real-time data visualization improves response efficiency across all operational areas.

  • Predictive Analytics Strengthens Prevention Strategies: Forecasting risks allows for preemptive action, reducing environmental damage.

  • Public Engagement Is Essential: Interactive dashboards foster greater transparency and collaboration with stakeholders.

 

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