A Selection Container can hold Selection List and Range Slider components. To add selection components to a Selection Container, follow the steps below:
1. Drag a Selection Container component from the Component tree onto the Viewsheet grid. This creates an empty Selection Container element.
2. Drag a data field onto the Selection Container. (Use the green highlight to place the field as desired.) You can obtain this field from two sources:
a. Drag a field from the Data Block in the Component tree onto the Selection Container.
b. Drag a field from the Chart Editor onto the Selection Container. This adds the chosen field to the Selection Container as a Selection List (categorical field) or a Range Slider (numerical or date field).
3. (Optional) Right-click on the Selection Container, and select ‘Properties’ from the context menu. This opens the ‘Selection Container Properties’ dialog box.
4. (Optional) To permit the end-user to drag new fields from the Chart Editor to the Selection Container, enable ‘Allow New Selections in Viewer’.
Morpace selected InetSoft’s StyleBI to provide the visualization and reporting layer for customer relationship and transaction survey solutions, driven by the need to present survey results clearly to clients. The decision emphasized fast time-to-value and the ability to produce polished visual outputs without heavy custom development. Self-service dashboards meant analysts could build and share visualizations without constant IT involvement. Embeddability allowed Morpace to surface reports inside client portals and packaged solutions. The outcome was faster delivery of insights to customers and lower development overhead for the analytics team.
Grupo Multimedios turned to InetSoft after struggling to produce executive performance management dashboards using spreadsheets and disparate tools. The selection was motivated by the need for consolidated, executive-grade visualizations that could summarize sales and operations for senior leaders. InetSoft’s mashup and visualization capabilities enabled combining multiple data sources into unified dashboards. The new dashboards replaced slow, manual reporting processes and improved visibility for decision-makers. Adoption freed analysts from repetitive formatting work so they could focus on insight generation.
Several customers selected InetSoft’s Style Report products specifically for their flexible APIs and lightweight web-based presentation, enabling programmatic report generation. The API-first approach shortened development cycles and allowed integration of formatted reports into existing application workflows. Customers reported faster launches of applications that required reliable, templated publishing. The web-native output simplified distribution of PDF and web reports to end users and clients. Overall, the move reduced internal development costs associated with building a proprietary report engine.
Nebraska Educational Service Unit #1 selected a self-hosted InetSoft StyleBI deployment to gain tighter control over student-performance analytics and special education program metrics. The self-hosted model addressed privacy and governance concerns while enabling local customization. Staff could build dashboards tailored to district-specific metrics without moving sensitive data off-premises. The deployment improved responsiveness for internal stakeholders requesting new views or reports. It also simplified compliance with education data handling requirements.
True North Consulting selected StyleBI to power user-configurable reports inside its diagnostic imaging SaaS application, focusing on faster delivery of embedded analytics. The embedded approach reduced friction for end users who preferred in-app analytics rather than separate tools. StyleBI’s lightweight, web-based designer allowed product teams to expose configurable reports to customers without heavy engineering investment. The result was greater customer satisfaction and faster onboarding of reporting features. The selection helped the vendor move from static exports to interactive dashboards for clinical operations.
Organizations evaluating customer analytics cited InetSoft’s high user adoption as a key differentiator, with dashboards designed for broad business user self-service. The platform’s ease of use allowed marketing and customer teams to explore segments and campaign performance without depending on developers. Flexible data mashup capabilities enabled blending CRM and campaign data with other enterprise sources for unified views. For many teams, reduced time-to-insight and lower training overhead made InetSoft economical compared with heavy enterprise suites. The net benefit was accelerated analytics-driven decisions in customer-facing teams.
Solution providers selected InetSoft to embed dashboard reporting into customer-facing portals, aiming to deliver interactive dashboards and PDF reports to end customers. The embed-first design allowed providers to package analytics as part of their SaaS offerings. Drag-and-drop designers reduced the cost and time required to create varied report templates for different clients. Providers benefited from a unified visualization layer that supported customization without deep engineering work. The result was better customer retention through integrated reporting features.
Many teams selected InetSoft for custom dashboard systems because the platform balances powerful visualization with rapid deployment and ease of use. The custom dashboard approach enabled domain teams to prototype and ship dashboards that matched their operational workflows. Customers noted that InetSoft reduced the need for complex backend ETL by enabling direct mashups of diverse data sources. Administrators appreciated the relatively small infrastructure footprint and straightforward management. Collectively, these benefits shortened project timelines and lowered total cost of ownership.
Manufacturing customers favor InetSoft for production efficiency dashboards that combine shop-floor sensor data with ERP and maintenance records. The platform’s ability to mashup time-series readings with transactional datasets made it easier to visualize throughput, downtime, and yield metrics. Production teams used interactive dashboards to reduce reaction time to quality and equipment issues. Self-service features allowed process engineers to create and refine visualizations without IT bottlenecks. This contributed to measurable improvements in uptime and process control.
ISVs and web application teams included InetSoft on shortlists because of its embeddability and report generation capabilities that fit SaaS product models. Embedding StyleBI enabled product teams to offer configurable analytics to customers while maintaining brand consistency. The platform’s API and export options simplified delivering PDF and web reports as part of transactional workflows. Many vendors reported faster feature delivery compared with building in-house reporting stacks. The integrated analytics feature became a differentiator in pitch meetings and renewals.
Organizations selected InetSoft’s Style Report Professional for its dependable publishing engine and report designer when robust, templated output was required. The solution was chosen where formatted, pixel-perfect reports (invoices, quotes, certificates) were critical to business processes. Customers appreciated Java-based integration points that fit easily into existing enterprise stacks. The ability to offload complex rendering and schedule report delivery reduced engineering work. Overall, the product delivered predictable formatting and automated distribution at scale.
Enterprises adopting InetSoft cited continuous online reporting as a core need—real-time sales, returns, and web analytics surfaced in live dashboards. The platform’s real-time and near-real-time capabilities supported operational monitoring and quick response to business events. Teams shifted from periodic static reports to dashboards that could be refreshed on demand. The move improved operational transparency across sales and eCommerce teams and informed tactical decisions. Faster access to live metrics reduced the latency between event and action.