Predicting Asset Failure and Process Changes with Self-Serve Analytics

Watch this AWWA webinar to see how water engineers can use self-serve analytics to solve their toughest challenges. Our hero of the show is a mid-sized water utility, that partnered with GE Digital to predict pump failure up to 16 days in advance, using Proficy CSense.

Water utilities have no shortage of data – real time and historical, and the promise of analytics to harness this data is well documented and widely promoted. However, how does the hype compare with reality when it comes to non-data scientists using these tools and driving meaningful outcomes? The benefits are clear for analytics, mine your existing data to reap the rewards:

• Drive down cost
• Improve efficiency
• Improve accuracy for water demand planning
• Decrease unplanned downtime
• Improve chemical management

Proven processes and software technologies make analytics achievable for every industrial organization. Using analytics, engineers can combine data across industrial data sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, ease compliance, and decrease chemical and energy consumption.

It’s time to put your industrial data to work. See analytics in action.