Business Mapping Software

InetSoft's business mapping software combines multi-dimensional charting with geographic charting. This allows interactive dashboards to display continuous measures such as population or sales volume by using color ranges across any geographically defined boundary on the local, state and national levels, and even custom-defined areas such as sales regions or political districts.

The integration of mapping and chart engines also allows for the use of multi-charts that compare multiple maps side-by-side, and also permits the combination of data tables alongside visual maps of data so that drilling-down into a region displays custom metrics and detailed data.

The end result is a data-rich application of geospatial mapping that makes finding answers and drawing conclusions from large data sets a much more efficient task for a business user.

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Additonal visualization and analysis features include

Rich multi-dimensional charting

Multi-dimensional charting is the ability to depict more than two dimensions on a graph by simultaneously representing points through various shapes, sizes, or colors. This enables users to create 3d, 4d, or even 5d charts.

Brushing for data exploration

Brushing is a technique that allows users to highlight data points within one chart and immediately isolate corresponding data points in accompanying charts leading to quick comparative analysis and recognition of aberrations and outlier.  

Co-located multi-charts

The ability to position multiple charts of various types in a shared location and quickly sort through them by clicking on the corresponding tab thereby reducing dashboard complexity and enhancing the propensity for accurate interpretation.  

Custom geographic data binding

The ability to bind data to built-in geographic points on world, state, or city levels, as well as custom defined areas on a map like sales territories or political districts that can be easily added with minimal scripting. 

Drag-and-drop dashboard designer

The ability to drag desired elements like charts, tables, filter, or objects onto a design grid and then drop Data Blocks™ onto them.  From the design grid, users can manipulate the size, color, font, text, layout, or display of any element they chose.

Multi-source data mashup and visualization

The ability to analyze data with visualizations created from combinations of various data sources including: Relational databases via JDBC, multidimensional databases, OLAP cubes, XML, SOAP, Java beans (POJO), EJB beans, CSV, Microsoft Excel spreadsheets, and Web services.

why select InetSoft
“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond.
- George R, Information Technology Specialist at Sonepar USA

What Industries Heavily Rely on Business Mapping Software?

  1. Retail and E-commerce: Retailers use mapping software to analyze customer demographics and behaviors. This helps them make informed decisions about store locations, inventory management, and targeted marketing campaigns. In my view, the retail industry benefits greatly from business mapping software as it allows for data-driven strategies that enhance customer experience and drive sales.

  2. Real Estate and Property Management: Real estate professionals use mapping software to identify suitable locations for development, assess property values, and analyze market trends. This enables them to make well-informed investment decisions. Business mapping software has transformed the real estate industry, providing a competitive edge by enabling precise location analysis.

  3. Logistics and Supply Chain Management: Mapping software is vital for optimizing routes, tracking shipments, and managing inventory across vast networks. It helps businesses reduce transportation costs, improve delivery times, and enhance overall operational efficiency. In my opinion, the logistics industry would struggle to operate effectively without business mapping software, given the complexity of modern supply chains.

  4. Utilities and Energy: Energy companies use mapping software for asset management, maintenance planning, and to ensure compliance with regulations. It helps them visualize infrastructure and plan for expansions or upgrades. Business mapping software is instrumental in ensuring the reliable and efficient delivery of utilities, which is critical for both businesses and households.

  5. Healthcare and Public Health: Healthcare providers use mapping software to analyze patient data, identify areas with specific health needs, and plan for the allocation of resources. It's particularly crucial in disaster response and epidemiological studies. Business mapping software has been a game-changer in public health, enabling more targeted and effective interventions in both routine and crisis situations.

  6. Marketing and Advertising: Marketers use mapping software to target specific demographics, plan advertising campaigns, and evaluate the effectiveness of marketing efforts in various regions. It helps them allocate resources efficiently. The precision and granularity that business mapping software provides have revolutionized marketing, allowing for highly targeted campaigns that yield better ROI.

  7. Environmental and Natural Resource Management: Organizations involved in environmental conservation and resource management use mapping software to monitor ecosystems, plan conservation efforts, and manage natural resources sustainably. Business mapping software is instrumental in preserving our environment and natural resources by providing powerful tools for data-driven decision-making.

  8. Government and Public Services: Government agencies use mapping software for urban planning, emergency response, census data analysis, and various other applications. It enhances the efficiency and effectiveness of public services. The integration of business mapping software into public sector operations has greatly improved the delivery of services to citizens, making government more responsive and accountable.

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What Analytics Does a Natural Resource Management Organization Use?

Natural resource management organizations utilize a range of analytics to make informed decisions about the sustainable use and conservation of natural resources. Here are some key types of analytics commonly employed in this field:

  1. Geospatial Analytics: This involves the use of geographic information systems (GIS) and remote sensing technologies to analyze and interpret spatial data related to natural resources. It helps in mapping and monitoring ecosystems, land use, and resource distribution.

  2. Spatial Modeling: This involves the creation of models that simulate the behavior and interactions of natural systems. For instance, it might simulate the flow of water in a watershed or predict the impact of land-use changes on biodiversity.

  3. Ecosystem Services Valuation: This involves quantifying the economic value of the benefits provided by ecosystems, such as clean water, pollination services, and carbon sequestration. It helps in making the case for conservation efforts.

  4. Statistical Analysis: Statistical methods are used to analyze data related to natural resources, such as population trends of wildlife, water quality measurements, and vegetation surveys. This helps in identifying trends and making evidence-based decisions.

  5. Environmental Impact Assessment (EIA): This involves evaluating the potential environmental impacts of proposed projects or policies. It considers factors like air and water quality, biodiversity, and social impacts.

  6. Risk Assessment: This involves evaluating the likelihood and potential consequences of specific environmental risks, such as oil spills, habitat destruction, or climate change impacts. It helps in planning for and mitigating potential disasters.

  7. Scenario Analysis: This involves creating hypothetical scenarios to explore potential outcomes of different management strategies or policy decisions. It helps in understanding the range of possible futures and making adaptive management plans.

  8. Carbon Footprint Analysis: This involves calculating the amount of greenhouse gases emitted as a result of organizational activities. It helps in identifying opportunities for emission reductions and carbon offset projects.

  9. Stakeholder Engagement Analytics: This involves analyzing feedback and input from various stakeholders, including local communities, indigenous groups, and other interested parties. It helps in ensuring that management decisions are inclusive and take into account diverse perspectives.

  10. Resource Inventory and Monitoring: This involves systematically collecting and analyzing data on the quantity and quality of natural resources, such as forest inventories, wildlife population counts, and water quality monitoring.

  11. Cost-Benefit Analysis: This involves comparing the costs of a proposed action or policy with the benefits it is expected to provide. It helps in prioritizing actions based on their potential impact.

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