Searching for the best data analytics software samples? InetSoft provides examples from its highly-rated, easy to use dashboard analytics software.
This revenue analytics sample breaks down revenue by plan type, state, and date. A dropdown selector changes fields displayed in the bar chart, helping to cut down on the overall number of elements in the dashboard.
This law firm analytics sample gives an overview of cases won and lost as well as opportunities. Large text KPIs displaying number and percentage of cases lost, won, and declined give law firm partners an at a glance view of firm performance.
This maintenance analytics 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.
This CEO 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.
This sample sales analysis gives executives an overview of sales by area, time period, and salesperson. The Employee Performance by Quarter chart displays employee sales relative to their quota, with bars turning red when performance lags behind the goal.
This attorney analytics sample analyses wins and losses by category, opportunity source, and proposal type. With wins in green, losses in red, and declines in yellow, this dashboard is a great example of how our intuitive associations with different colors can be used to make a dashboard more communicative.
This machine learning analysis uses sophisticated AI to predict profit, revenue, and volume changes. Various checklist filters encourage drilling down into the data to further explore patterns, encouraging a combination of both ML generated and human driven exploration.
This churn analysis sample is another use case of combining machine learning with human driven visual data exploration. In addition to various charts that display the data, this dashboard features a button that further trains the machine learning model as the data is filtered and explored.
This supply chain analysis example gives a global view of shipped orders. This view is aided by several map charts, one of which features a zoom in on key areas.
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