OPˣ: Operational Performance Excellence

• Reduce time extracting data, analyzing it, and producing reports – stay a step ahead rather than behind
• Focus on key data to drive positive change; eliminate wasted time reviewing “indigestible, data overloaded” reports that provide little to no value
• Answer questions in minutes instead of hours, rapidly driving positive change

• Automatically disseminate important/relevant information sooner and more frequently
• Easily create and schedule custom weekly, monthly, and annual automated reporting
• Eliminate risk of manual errors in reports
• Enable reassignment of analysts to performance analysis/interpretation tasks
• Alert relevant audiences via email when certain thresholds have been breached or conditions met for faster response times and compliance risk mitigation

• Integrate data contained within separate and disparate systems into a single repository for cost, productivity, schedule, and performance analyses. Create a “one-stop data shop”
• Create and export new data (i.e. risk factors, schedule adherence, predictive outcomes, priorities, etc.) for use in other systems

• Easily and quickly drill down into results to discover issues, patterns, trends, and opportunities
• Democratize the data for users across various organizational levels
• Improve scheduling and estimating with more accurate information and access to historical trends

• Measure and report on data quality, reinforcing the necessity for accurate data collection and record-keeping within the company
• Drive a “virtuous cycle,” measurement leading to focus and to data accuracy, and therefore better measurement and sustainable data quality
• Predict work backlog, employing more accurate estimates
• Quickly ascertain and correct data issues through a robust validation process

• Set more granular targets by isolating cost and performance by asset age, manufacturer, voltage, location, etc.
• Avoid “one size fits all” overtime targets with the ability to see specific workload and ratios of staffing levels to assets or other factors
• Define local staffing levels and O&M budgets in a more fact-based way using historical data; monitor and adjust throughout the year

• Facilitate “deep-dive” analyses, thus streamlining and reducing the time from problem identification to well-targeted interventions
• Empower teams by helping supervisors and managers develop a proactive stance with respect to owning performance in their areas
• Reduce compliance risk via predictive analytics for completion vs. due dates

• Understand what is costing you the most money and why. This will allow you to isolate costly assets and determine whether to repair or replace
• Transfer spend from O&M to Capital by rapidly identifying poor-performing assets
• Reduce labor costs and improve workforce productivity by finding and leveraging best practices by work category across the organization
• Reduce labor costs by increasing transparency on overtime and non-productive time
• Justify the initial expenditure to implement OPˣ with improvements in field productivity – payback is typically 3-6 months

“This is the first time I can really see and analyze our ‘non-productive labor category’. We will reduce it by 10%, saving about 3,000 hours (1.5 FTE) using OPˣ to manage the results.”

“With OPˣ, we identified several breakers where we were spending $60,000 per year on corrective maintenance on assets that could be replaced for $45,000.”