Monitoring and Management Dashboard Examples

Mark: Now we’re going to move into the show and tell portion of the webinar, and when it comes to management of your InetSoft application, we’ve added a lot of functionality in this release. Now, our own application includes performance monitoring tools to show you current and recent uses of physical resources, and with another console you can manage users who are actually logged into the application as well as reports and queries that are being executed.  I’m going to hand it over to Byron who will take us through the show and tell portion. 

Cassie: Here I’m logged into the Enterprise manager which as many of you already know is our web based server administration tool. We’ve added a new node on the left hand side here called monitoring that lays out a number of different pages for reading/managing/controlling and interacting with a list of different aspects of your current system.

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So here on the summary page we have some graphs, plotting memory and cpu and cache usage over time, even down to the level of requests if you configure it as such, you can set different levels of monitoring in the simple configuration dialogues here.  On the other pages you can control the reports.  For example I see an active report in the cache right now.  If I wanted to force it to expunge, I can simply do that.  Similarly I can manage the active viewsheets, queries, and even the current users that are logged in and remove their session forcibly.

These are all the aspects that are built into the EM, but if you go to the server configuration page under Mbean Server, you can actually set up a connection to a third party source or a third party client as it were.  So for example, I can start up J Console and simply connect to the server and see a listing of specialized Mbeans that we’ve designed in this realize to expose some of the monitoring and management aspects of the enterprise manager to third party tools like this one.

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Case Study: Using Monitoring and Management Dashboards at SnowSport Rentals

SnowSport Rentals is a leading snowboard rental service in Aspen, providing rental equipment for visitors at various locations across the ski resort. With a fleet of hundreds of snowboards and related gear, SnowSport Rentals faced challenges in efficiently tracking inventory, managing maintenance schedules, and providing quick, reliable customer service during peak seasons. To address these challenges, SnowSport Rentals implemented monitoring and management dashboards to centralize data and improve operational efficiency.

Key Challenges

Before adopting monitoring and management dashboards, SnowSport Rentals experienced several significant challenges:

  1. Inventory Management: Tracking hundreds of snowboards across multiple rental locations was challenging. Without a centralized inventory management system, tracking availability, location, and return status relied on manual entries, leading to inaccuracies and delays.

  2. Maintenance Scheduling: Each snowboard requires regular maintenance and inspection to ensure safety. The team often missed scheduled maintenance due to a lack of tracking, which led to equipment downtime and occasional customer dissatisfaction.

  3. Customer Service and Response Times: Handling high volumes of rentals and returns, especially during peak season, put stress on staff and increased customer wait times. Staff had no efficient way of seeing which equipment was available or nearing return deadlines, impacting the customer experience.

  4. Data Visibility for Decision-Making: SnowSport Rentals lacked centralized data on key metrics like rental frequency, equipment condition, and customer preferences, which limited their ability to make data-driven decisions around stocking, pricing, and staffing.

Dashboard Implementation

SnowSport Rentals partnered with a BI vendor to design and deploy a set of monitoring and management dashboards tailored to its operational needs. Accessible on desktop and mobile devices, these dashboards provided real-time insights into inventory, maintenance schedules, customer service metrics, and operational data.

Key Features of the Monitoring and Management Dashboards

  1. Inventory Management Dashboard
    • Metrics Tracked: Equipment availability, rental status, return deadlines, and location tracking.
    • Usage: This dashboard provided real-time visibility into inventory across all rental locations. Staff could see which snowboards were currently rented, available, or in transit, allowing them to answer customer queries about availability instantly. The dashboard also alerted staff when items were nearing their return deadlines, enabling proactive follow-ups with customers and reducing overdue rentals.
  2. Maintenance and Quality Control Dashboard
    • Metrics Tracked: Maintenance schedules, equipment condition ratings, and inspection history.
    • Usage: The maintenance dashboard tracked each snowboard's condition and maintenance history, alerting staff when equipment was due for inspection or repair. This ensured that all rental items remained in peak condition, reducing downtime and minimizing the risk of equipment failure on the slopes. Staff could also mark equipment for urgent repairs directly on the dashboard, and managers could monitor the progress to ensure timely servicing.
  3. Customer Service and Queue Management Dashboard
    • Metrics Tracked: Customer wait times, staff assignment, rental and return queues, and satisfaction ratings.
    • Usage: This dashboard helped the company manage rental and return queues, especially during high-traffic times. Staff could track real-time customer wait times, manage staff allocation, and proactively reduce congestion. After a rental, customers could rate their experience, which the dashboard aggregated, allowing management to monitor customer satisfaction and address any recurring issues.
  4. Operational and Financial Performance Dashboard
    • Metrics Tracked: Rental frequency, peak hours, popular equipment, revenue by item, and profit margins.
    • Usage: The operations dashboard offered management an overview of business performance, tracking metrics like peak rental times, popular items, and revenue. By analyzing trends, SnowSport Rentals could make data-driven decisions about stocking more popular equipment, adjusting prices, or modifying opening hours during off-peak periods. This dashboard also provided insights into overall profit margins and helped plan budget allocations for equipment upgrades and maintenance.

Results

After implementing the monitoring and management dashboards, SnowSport Rentals experienced improvements across several critical areas:

  1. Increased Equipment Availability With real-time visibility into inventory, SnowSport Rentals reduced incidents of double-booking or overestimating equipment availability. This led to a 25% improvement in equipment turnover efficiency, ensuring that customers had access to more snowboards, especially during peak hours.

  2. Enhanced Maintenance and Safety Compliance By automating maintenance alerts, SnowSport Rentals ensured that all snowboards were serviced on time, reducing equipment downtime by 20% and minimizing wear and tear. Customer safety also improved, as no rented equipment was overdue for maintenance, leading to better reliability and customer confidence in the rental process.

  3. Improved Customer Satisfaction and Reduced Wait Times The queue management dashboard allowed SnowSport Rentals to reduce average customer wait times by 15%, even during high-traffic periods. With real-time customer service data, staff could see where bottlenecks were occurring and adjust staffing as needed. Additionally, customer satisfaction ratings improved by 10%, attributed to faster service and improved equipment quality.

  4. Data-Driven Decision Making The operational dashboard provided valuable insights into customer preferences and usage patterns. SnowSport Rentals could see which items were most popular, enabling them to stock more of the high-demand items and optimize inventory. The ability to analyze revenue by equipment type also guided future investments, with management deciding to purchase more premium snowboards based on their high rental rates and profitability.

  5. Optimized Staffing and Operational Efficiency SnowSport Rentals used the data on peak rental times to better allocate staff, ensuring that more team members were available when customer demand was highest. This reduced operational costs by 15% by preventing overstaffing during slower times and improved efficiency during busy periods.

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