Managing an organization’s infrastructure, client information, billings, customer service, and other essentials demands a huge investment. This is especially true for energy and utility companies.
If you’re in the energy and utility sector, you likely have tens of thousands if not millions of customers to please. To satisfy these customers, you need to constantly:
- Monitor the condition of your infrastructures
- Gather customer information
- Analyze field data
- Be ready to respond instantly in the event your network goes down.
You’re also subject to numerous compliance requirements.
“Amidst a highly regulated environment, where ethics, governance, and risk management are top priorities, energy and utility organizations are under increased scrutiny.”
Source: 7 Top Trends in Energy and Utility Compliance, May 17, 2020
As a result, you need to document your operations meticulously – and such operations require a huge amount of data.
Some energy and utility companies continue to process data the old school way. Many, however, are now recognizing the costs associated with managing data manually and they’re turning to automation.
Automation benefits energy and utility companies on many levels.
In addition to improving your operational efficiencies, integrating data digitally drives your operating costs down. It also saves your employees time so that they can focus on finding innovative ways to optimize the delivery of your resources and maintain a high level of customer service.
The advantage of digital data collection methods extends beyond the gathering and management of customer information. Mobile data collection forms, for example, allow utility workers to collect georeferenced information from the field. Such information can then be shared with head office and remote teams in real time.
This helps to:
- Ensure data compliance and standardization
- Optimize the use of data
- Minimize errors
- Reduce paper consumption
- Improve productivity
- Identify and manage potential risks and dangers without delay
Manual data management is cumbersome.
To understand this, compare the following two scenarios:
1. Manual: Utility workers use paper to collect data in the field. At the end of each workday, they return to the office and manually enter that same data into the company database.
2. Automation: Utility workers use mobile devices to collect data in the field. That data is instantly synchronized with the company database and accessible in real time. Plus, it can easily be integrated into and overlaid onto existing data for scalable trend analysis.
Mobile data collection applications and other data collection tools can help you better organize your data collection operations in the field. Plus, they improve data flow, increase the reliability of data collected, and help you operate your network with greater efficiency.
Automated processes also help you:
- Meet regulatory requirements
- Streamline your operations
- Gain real-time access to data that delivers valuable insights that manual data collection processes are unlikely catch
Such insights help you better serve your customers, manage the safety of your equipment, and gain a competitive edge.
Want to optimize your company’s field data collection methods?
Consider a mobile forms application like Coral Collect. Using a mobile form builder, your field operations managers can deploy custom-create forms to your teams in the field. These forms can be used to collect all kinds of geotagged data, including photos, with or without an internet connection.
Using an offline data collection method means your field workers no longer have to drive back to your office and manually transcribe data. This is good news for those who have already put in a hard day’s work. What’s more, it’s great news for your company’s profit margins.
Are you ready to leave cumbersome manual data collection processes behind? If so, empower your fieldworkers, salesforce, and other employees to manage data more efficiently. Explore how Coral Collect’s data collection tools can support your energy or utility business.