InetSoft Provides One of the Best Flexible Dashboard Solutions

Are you searching for the most flexible data dashboard software and reporting business intelligence tool? InetSoft's Style Intelligence is a flexible and powerful reporting business solution.

InetSoft's application provides a high-performance, easy, agile, and robust tool to ensure the best possible service.

Business users require flexibility when extending the IT department's pre-built reports and when utilizing self-service reporting. InetSoft empowers both IT professionals and business users with the combination of powerful authoring tools and a highly scalable deployment environment.

Monitoring dashboards provide aggregated information views using intuitive display objects, and give managers the current status of their business, as well as the ability to drill down into the details and investigate.

Analytic dashboards explore provide a means of exploring data to gain new insights through multi-dimensional visual charting. Simple point-and-click manipulation enables discovery of hidden patterns and relationships.

#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index Read More

Dashboard Features

  • Interactive Dashboards - view data by creating interactive objects (data selection drop-downs, tables, crosstabs, charts, maps, gauges, thermometers, sliders, calendars, etc.)
  • Multi-dimensional Charting - use colors, shapes, and stacked x/y axes to add additional dimensions, displaying more information in a single chart
  • Multi-charts - aka trellis graphs, visual crosstab, or small multiples; use to compare many series side by side to spot trends or outliers
  • Maps - plot summarized data by geography, and interactively explore using zoom, and pan
  • Expression Formula - add an expression or formula column using SQL or JavaScript syntax
  • Highlighting - conditionally format important information using color or font properties
  • Brushing - select data points in one chart to highlight related points in accompanying charts
  • Named Groups - group categorical and numeric data into buckets or ranges
  • What-If Analysis - experiment with scenarios by combining user input with dynamic data
  • Report Integration - drill down to reports or embed reports in dashboards
  • Visual Analysis - perform multi-dimensional visualization and analysis on OLAP cubes and non-cube data; use point-and-click interactivity to explore large amounts of data in a single analytical space
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

Case Study: Improving Neonatal Care with Dashboard Analytics at BrightStart Neonatal Care Center

BrightStart Neonatal Care Center (BSNCC) is a specialized healthcare facility dedicated to providing comprehensive care for premature and critically ill newborns. Established in 2005, BSNCC is renowned for its state-of-the-art neonatal intensive care unit (NICU), highly skilled medical staff, and commitment to delivering the highest standards of care. The center collaborates with leading hospitals, pediatricians, and researchers to ensure the best outcomes for newborns.

Challenge: BSNCC faced significant challenges in managing and analyzing the vast amounts of data generated from patient monitoring systems, medical records, and treatment protocols. The data was stored in disparate systems, making it difficult to gain a holistic view of patient health, track treatment progress, and ensure compliance with healthcare standards. This fragmentation led to inefficiencies, delayed decision-making, and difficulties in identifying areas for improvement.

Solution: To address these challenges, BSNCC decided to implement a comprehensive dashboard analytics system. The goal was to integrate data from multiple sources, provide real-time insights, and enable data-driven decision-making. After evaluating several options, BSNCC selected a dashboard platform known for its user-friendly interface, robust data integration capabilities, and powerful visualization tools.

Implementation: The implementation of the dashboard analytics system was executed in several phases:

  1. Data Integration:
    • Data from various sources, including electronic health records (EHRs), patient monitoring systems, and laboratory results, was integrated into a centralized data warehouse. The ETL (Extract, Transform, Load) process ensured data consistency and facilitated comprehensive analysis.
  2. Dashboard Development:
    • Customizable dashboards were developed to provide real-time insights into key performance indicators (KPIs) such as patient vitals, treatment effectiveness, medication administration, and compliance with healthcare protocols. These dashboards were tailored to meet the needs of different user roles, including neonatologists, nurses, and administrative staff.
  3. Training and Adoption:
    • Extensive training sessions were conducted to ensure that all staff members were proficient in using the new dashboard tools. The training emphasized the benefits of real-time data visualization and how it could enhance patient care and operational efficiency.
  4. Continuous Improvement:
    • Feedback from staff was regularly collected and used to refine and enhance the dashboard system. This iterative approach ensured that the dashboards remained relevant and valuable in addressing the evolving needs of the center.

Results:

  1. Improved Patient Care:
    • The dashboards provided real-time access to critical patient data, enabling medical staff to monitor patient health more effectively. This led to quicker response times to changes in patient conditions and improved overall patient outcomes, with a 20% reduction in critical incidents.
  2. Enhanced Operational Efficiency:
    • By centralizing data and providing intuitive visualization tools, the dashboards streamlined workflow processes and reduced the time spent on data entry and retrieval. This resulted in a 30% increase in staff productivity and allowed more time to be dedicated to direct patient care.
  3. Data-Driven Decision Making:
    • Real-time insights from the dashboards empowered staff to make informed decisions based on accurate and up-to-date information. This data-driven approach improved treatment planning and resource allocation, contributing to a 15% increase in treatment effectiveness.
  4. Compliance and Reporting:
    • The dashboards facilitated compliance with healthcare standards by providing clear and accessible reports on key metrics such as medication administration, infection control, and patient safety. This led to a 25% improvement in compliance scores during regulatory audits.
  5. Staff Collaboration and Communication:
    • The shared dashboards fostered better communication and collaboration among the multidisciplinary team. By having a unified view of patient data, staff could coordinate care more effectively and ensure that all team members were informed and aligned.

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