BI Software Demos from InetSoft

More Resources About InetSoft's Map Charts

• Visit The InetSoft Gallery

  Explains InetSoft’s approach to map-based visualizations and shows multiple map examples that demonstrate choropleths, point overlays, and thematic layers. Describes design considerations for combining geographic layers with traditional charting to preserve clarity when many measures are displayed. Notes interactive behaviors — zoom, pan, and drilldown — that make map displays more actionable for analysts. Highlights pragmatic uses such as regional performance, territory management, and location-based KPIs. Advises on choosing map styles and projections to avoid misleading impressions of area or density.

• Lend A Degree Of Realism

  Defines Google Map Charts and explains how using Google’s tiles adds geographic context like roads, landmarks, and terrain to plotted data. Describes technical steps for embedding Google maps as chart backgrounds and for plotting geocoded points using latitude/longitude fields. Discusses tradeoffs between realism and readability — when to use satellite imagery versus simple vector basemaps. Shows common enterprise use cases including field service dashboards and customer density analysis. Recommends care with API keys, licensing, and performance when dealing with many plotted points.

• Keep Track Of Your Company's

  Presents an interactive map example intended to help organizations monitor performance by county, state, MSA, or country. Explains how layering metrics on a single map accelerates regional comparisons and identifies outlier territories that need attention. Details interactive features like selection, parameter-driven filters, and linked views that enable rapid root-cause exploration. Shows how maps combine with tabular drilldowns to validate whether geographic patterns are data-driven or artefacts. Suggests governance steps to ensure region names, codes, and boundaries are standardized for repeatable reporting.

• Conduct Thorough Research On

  Describes a geographic analytical dashboard template that integrates maps with KPI panels to support market, sales, and operations analysis. Details features such as drillable regions, choropleth coloring by metric, and linked trend charts for selected geographies. Emphasizes the value of combining zipcode/MSA-level views with aggregated state or country rollups for different planning horizons. Notes data preparation needs — consistent geo-coding, normalization by population or outlets, and alignment of time windows. Recommends iterative refinement of layers so the dashboard surfaces actionable, not noisy, geographic signals.

• Includes Latitude And Longitude

  Outlines built-in geographic capabilities such as preloaded city/state coordinates plus support for custom latitude/longitude columns. Explains how the platform handles zip codes, city names, and custom shape overlays so analysts can map at multiple granularities. Discusses workflow choices: use built-in maps for speed or import custom shapefiles for industry-specific regions. Calls out practicalities like coordinate cleansing, dealing with ambiguous place names, and performance when mapping large point sets. Advises on combining mapping with other datasets (sales, inventory, demographics) to unlock richer spatial analysis.

• Plot Geocoded Data From Almost

  Explains how StyleBI can request Google map tiles as a background and overlay geocoded business data for interactive dashboards. Describes the mechanics of plotting latitude/longitude values from any datasource and synchronizing selections with other dashboard panels. Notes the benefit of Google’s basemap detail for operational use cases like logistics and site planning. Details cautionary points about API usage limits and the importance of caching or tiling strategies for large deployments. Recommends tagging and metadata discipline so spend and usage for map-backed dashboards can be tracked centrally.

• Tool To Make Online

  Defines “maps with paths” — visualizations that show routes, flows, or connections over geography — and gives examples where they clarify movement or supply-chain flows. Walks through how to author path layers in InetSoft, including preparing ordered coordinate sequences and styling line weights or arrows. Describes analytic enhancements such as aggregating route counts, coloring by KPI, and animating flows over time to show seasonal patterns. Points out common pitfalls: clutter from overlapping lines and the need to normalize flow value scales for legibility. Suggests interactive filters and focus+context techniques to keep path maps usable with dense networks.

• Right Click The Design View

  Provides hands-on instructions for toggling label/values display when embedding a geographic map inside a report or view. Explains UI options such as Show Values, Value Format, Maintain Aspect Ratio, and automatic labeling behavior. Notes how choosing between labels and numeric values affects readability depending on zoom level and data density. Recommends formatting rules (rounding, thousands separators) that improve comprehension in multi-region reports. Emphasizes saving the desired map state so end users see the most informative initial view.

• Provide Access To A Free

  Explains regional maps — visualizations focused on subnational boundaries such as states, provinces, or MSAs — and why they’re useful for local planning and marketing. Describes the stepwise process for creating regional maps in InetSoft and highlights an included online tool for quick prototyping. Discusses best practices for aggregating metrics to regions, choosing color ramps that respect perceptual ordering, and annotating one-off events that distort trends. Advises on verifying boundary definitions against authoritative sources to avoid mismatches in cross-region comparisons. Suggests sample use cases like territory optimization and regional performance scorecards.

• Interactive Analysis Of Geographic

  Positions InetSoft’s mapping offering as a practical option for interactive geographic performance analysis across departments. Highlights gallery examples and demos that illustrate mapping patterns for sales, service, and risk monitoring. Points out user-centric features like on-map selection, linked filtering, and combination of geographic layers with temporal charts. Discusses enterprise readiness concerns including scalability, embedding maps into portals, and integrating with existing ETL or geocoding pipelines. Encourages evaluating mapping UX (legend clarity, zoom presets, labeling) when choosing a mapping solution so visual insights translate into decisions.