| | SEPTEMBER 20209E ERGYTech Reviewsystems and business units without additional user input. Using integration between EAM and GIS, with data fed from the mobile devices, provides data maintenance technicians need to work efficiently and allows data to be collected directly from the source. Just as data validity has taken on a new importance, so has the experience through process monitoring and control for service level management. Gone are the days when electromechanical devices operated until failure and, ultimately, process interruption. A new era has arrived with the introduction of real-time process monitoring and control to ensure service levels are being met. Very small transducers can be placed strategically to gather process and machine data. The data is stored locally for intermittent gathering or streamed real-time and analyzed by complex algorithms to track, trend, and allow quicker predictive and corrective actions. This information has benefited the operators by needing the user experience to be similar to manually controlled processes and represented logically. Bi-directional data, in this case, has a heightened necessity, as even small deviations could pose process problems. As such, the physical integration with managing and monitoring asset performance and condition has been incorporated into the user experience design. As operators, technicians, and employees are physically engaging with assets, the data input is providing a digital representation of current conditions or trends. This interception of physical engagement through kinetic means needs to be closely aligned with the expected experience to empower and provide effective means of asset utilization. Data visualization, data validity, and the physical, digital interception of work and asset data create a plethora of information. Therefore, identifying key measures to assess and promote action culminates in an effective user experience in EAM evolution. Most organizations practicing EAM are utilizing their data systems to produce useful key performance indicators (KPIs), with the goal being to improve and enhance strategic asset management practices and procedures. Some of the more common use cases for KPIs across the utility vertical include quality assurance validation, compliance reporting, and work completion management. Another benefit of implementing KPIs is improving practices through data visualization as indicated earlier. In the examples below are three different KPIs. The KPI on the left shows the work completion numbers on the day the KPIs were published. The middle KPI shows the work completion trend throughout a year. Finally, the KPI on the right shows the work completion numbers after one year. It is clear from the before, and after view, once the data was exposed to the workforce, they monitored each KPI trend, sought out opportunities for improvement, and consequently triggered the numbers across the board to steadily improve over time.Data visualization is proving to be an effective tool to engage, encourage, and motivate an organization's workforce into improving their data integrity and work completion practices.User experience as a means to evolve EAM at Cal Water has shown to be a successful accelerator in deploying tools to effectively manage the asset life-cycle of more than $1 billion in water utility infrastructure. By implementing data visualization, ensuring data validity, integrating systems for effective synchronization, intercepting physical activities and data, and tying these all back to KPIs that are shared with both management and employees, the approach beginning with the end user in mind has proven successful at Cal Water and will continue to be a focus of bi-directional data flow as a means to achieve positive user experiences. This will enable Cal Water's Asset Management team to meets its goals to optimize asset life-cycle accountability and in turn ensure quality, service, and value to over 484,000 customers. StephenTiffanyPaul
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