Asset Management

How you manage your key assets can make the difference between healthy profitability and business failure. Idle resources tie up valuable capital without any return. Inadequate preventative maintenance can result in inefficient equipment, unplanned downtime and frequent replacement. 

Standard dashboards and reports help you monitor how you are doing, but they can’t help you proactively identify specific actions to take to get your assets under control. To minimize waste, increase reliability, and control risk, you need a tool that helps you ask new questions and discover new insights.

Heat Map Explorer can help you:

  • Increase equipment reliability by ensuring timely maintenance.
  • Reduce cost or increase revenue through improvements in asset utilization.
  • Ensure compliance with government regulations and corporate policy.
  • Increase inventory efficiency and reduce overhead.
  • Discover localized trends and outliers that foreshadow future risks.

Use Heat Map Explorer Desktop to analyze data from Excel or SQL databases, or use Heat Map Explorer Enterprise Edition to integrate directly into your enterprise applications.

  • See where maintenance cycles are outside acceptable ranges.
  • Visually identify problematic locations.
  • Diagnose root causes of delayed maintenance issues.

The top heat map shows vehicles at one of 21 locations. The color shows the average time between maintenance visits. Green boxes indicate vehicles that have been maintained recently; yellow and red boxes indicate vehicles that are out of compliance. 

On this heat map, no one location stand outs as problematic – the green border around each bar indicates an acceptable overall average.

The bottom heat map shows the same vehicles in a histogram view that shows the distribution by vehicle age. The newest vehicles are on the left and the oldest vehicles are on the right. 

This heat map highlights the actual issue: poor compliance exists mainly with the newer vehicles on the left. Operators may feel that newer cars do not need maintenance as frequently, an issue that is easily addressed through a change in training.

  • Visualize software license compliance by location, vendor or software type.
  • Identify locations or managers with high compliance risk.
  • Export lists of licenses due or overdue for renewal.

In this heat map, each box represents a block of software licenses assigned to a particular location. The size is proportional to the number of license seats, and the color indicates time remaining before renewal (yellow is 90 days or less, red is past due).  Each column contains the licenses for one location. The border of the column is colored based on the average time remaining for all licenses at that location.

While most locations are in compliance, the company faces compliance risk at its Moscow location, as shown by the yellow border. The problematic licenses can be examined by hovering over each box. Or they can be exported to an e-mail or copied to a spreadsheet to send to the responsible managers directly from within Heat Map Explorer.

  • Identify resources that are underutilized.
  • Visualize utilization in context to reveal problems with particular categories, locations or times.
  • Discover usage patterns that may indicate opportunities for improvement.

Both heat maps to the right display 4 weeks of production capacity utilization at 5 plants. Each row represents a plant and each column a single day. Color represents utilization, ranging from red for 0% to green for 100%. 

The top 3 plants usually operate 5 days a week. The 4th plant has half-staff while the bottom plant has full-staff on the weekends.

The top heat map shows a striking ramp-up period early in the week after a plant has been closed for a weekend. No ramp-up time is seen in the bottom 2 plants.

The bottom heat map uses a “cluster” style to color the borders to reflect average utilization for each level of grouping. This makes the advantage of the 7-day week for the bottom two plants obvious. It also highlights the two green weeks for the 1st and 3rd plant—times when the staff worked on Sunday. Notice there was no ramp up time these weeks.


  • See at a glance where capital is invested in inventory.
  • See which categories need better inventory management.
  • Identify slow-moving, high-cost inventory items.
  • Export reports for targeted inventory adjustment.

This heat map displays the average inventory levels and turnover ratios across various product categories. Each box represents a product. The size is proportional to the dollar value of the average inventory.

The color of each box represents the inventory turn ratio. Medium and high turnover ratios are black. Low turnover ratios are yellow and extremely low turnover ratios are red. 

By focusing on the large red and yellow items in the map, quick effective action can be taken to reduce inventory levels and free up significant amounts of capital.