Business Intelligence Dashboard Examples

Looking for business intelligence dashboard examples? InetSoft offers award winning dashboard solutions. InetSoft's dashboard tool requires no expensive BI experts or consultants to deploy and offers an intuitive point-and-click, highly visual, easy-to-use interface.

InetSoft's dashboard tools reduce TCO and help the enterprise realize immediate ROI by empowering their users with maximum self-service ability. Click on the screenshots below to get a closer look.

HR Attrition Dashboard Example

good Executive Sales Overview example

This HR attrition dashboard example breaks down the various factors involved in personnel turnover, helping HR managers identify factors in employee attrition. Attrition data is broken down by gender, department, marital status, and years worked. HR scorecards help give HR managers an overall picture of the factors that contribute to employees leaving the company.

Maintenance Efficiency BI Dashboard

good Maintenance Efficiency Analytics example

This maintenance efficiency dashboard sample displays the percentage of work orders started and completed, and tracks the man hours necessary for completion of said work orders. A number of line charts display the fluctuations in these various measures over time, enabling managers to pinpoint where specific issues occurred.

Project Management Office Dashboard Example

Win/Loss Opportunity Outcome Analysis

This project management office dashboard example aids in the monitoring of various marketing initiatives and the start and end times of various project stages. This type of dashboard helps digital marketing agencies track the progress of their consultants on various initiatives. A Gantt chart tracks the start and end date of various projects, giving a visual representation of project durations. Gantt charts now comes as a standard option in InetSoft's visualization engine.

Predictive Music Industry Dashboard Example

Predictive Music Industry Dashboard

This predictive music industry dashboard example by InetSoft can be easily embedded into applications to help creators find the next hot music genre in certain areas. In the example dashboard, the most important audio features impacting popularity are identified by regression model. Moreover, end user can deep dive into the music fusion by checking simulated decision tree of genre classification.

Sales Performance BI Dashboard

Sales Performance Report

This sales-by-state sales performance dashboard gives a broad visual breakdown of revenue, prices, and profits, by product line. Color is used in several of the charts to add another dimension. The live version features a mouseover chart, packing in even more information without wasting dashboard real estate.

Help Center Dashboard Portal

Help Center Management Portal

This real-time help center dashboard portal gives shows call center managers how many calls their employees are handling and how long they are taking. The dashboard refreshes ever 30 seconds, with individual employees represented with icons that change color when the employee is on the phone.

Risk Management Consulting Dashboard Example

bestRisk Management Consultancy  example

This risk management consultancy dashboard from InetSoft partner Protecht displays various measures of risk and compliance. An incidents by date chart features a red line tracking actual losses, utilizing color to draw the users attention to what's most important.

Multidimensional Demographic Dashboard

best BI example

This multidimensional data analysis of US census data uses multidimensional charting to display population, income, region, and property value, all in a single chart. Various filter elements enable possible patterns in the data to be discovered and explored.

Commerce BI Dashboard

good Bank Demographics example

This commerce dashboard example paints a detailed picture of global imports and exports, with seven different charts, three of them multidimensional. With so many countries displayed, narrowing down the analysis with a selection checklist can make analysis exponentially easier for the end-user.