Valor Water Analytics Intern Blog: Priya Dhandev

Valor Water Analytics Intern Blog: Priya Dhandev

Valor Water Analytics Intern Blog: Priya Dhandev

I graduated with a degree in MS in Electrical Engineering from Santa Clara University CA in December 2016. I went to Indian Institute of Technology Jodhpur, India for my undergraduate program in Electrical Engineering. During the MS program where I was specializing in VLSI Design & Testing, I discovered my love for programming!! To enhance my knowledge and to learn the required skills to be a skilled software developer, I took severalcourses on Coursera, Udacity and Udemy. 

Broken Meter Beater

Broken Meter Beater

By Steve Birndorf

So, I’ve been thinking about broken meters quite a bit lately (and, when I say “broken meter,” I’m referring to all sorts of different issues--under-registration, non-registration, decay, stuck meters, zero reads, etc.). Every day, as I talk to municipalities and water agencies around California and around the country, broken meters are a topic of universal importance and concern. Everyone’s got ‘em, and everyone is trying to get rid of ‘em. And, broken meters don’t just go away when you fix them...they are a recurring problem which occur year after year after year...

 

Broken meters, significantly impact water utilities. They leave revenue uncollected, they impact revenue stability, they make compliance difficult, they result in truck rolls, they impact conservation efforts. The list goes on.

Zero visibility: Issues in Water Use Data Resolution

BY DAVID WEGMAN, CTO, VALOR WATER

In the beginning -- that is, before HD television -- there was standard definition television.  Back then, nobody complained much about the quality of the image.  In reality, the reason why people didn't make a fuss was that they didn't know what they were missing out on.  The same goes for the transition from cassette tapes to CDs and a host of other evolutionary enhancements in audio/visual quality over the years.  Ignorance is bliss.

Doing the Right Thing: Ending Water Cutoffs

By Janani Mohanakrishnan, PhD

Intro

“What keeps you up at night?” This was a question posed to George Hawkins (GM at DC Water), at a recent water conference. He promptly replied “Figuring out how to keep providing water to my growing population of low-income customers”. Later that week, a colleague mentioned her displeasure at having her water cutoff because of a system error. She had paid her active utility service deposit, had no history of nonpayment and was still cutoff without notice. Guilty until proven innocent!

5 Reasons a Prudent Water Utility Engineer Cares About Apparent Water Loss

The Brave New World of Apparent Loss Detection

The Brave New World of Apparent Loss Detection

Although few utility managers and operators enjoy regulations, the interesting thing about apparent loss regulations is that adhering to monitoring of Apparent Loss brings in money.  

Utility Data Management BMPs v1.0

Utility Data Management BMPs v1.0

Here in California, the mention of BMPs (Best Management Practices) to any water utility practitioner brings a look of frustration, and perhaps fear.  This may be due to the use of BMPs by the state to promote certain practices in water conservation, rate making, and more.  This may explain why while attending a water utility data conference at Stanford a few weeks ago, a wholesale water engineer proposed the idea of Water Utility Data BMPs, and this got a chuckle from the audience.
 

Get To Know Us Through Our Team: Meet William Doherty, Valor Regional Sales Lead

The water industry is undergoing a fascinating transition, with more water utilities having to combat scarcity challenges and more customers requiring knowledge of their consumption patterns and working collaboratively to change behavior. William Doherty - Valor Regional sales lead, shares his insights on the water industry and Valor culture.

Mind The Data Gap

There is a lot of talk about Big Data these days, and if you are anywhere near Silicon Valley, it is more like a deafening roar. As important and difficult as Big Data is, we are also working to solve challenges of a different sort that gets relatively little attention: what we call Diverse Data. The key distinction between Big Data and Diverse Data is how structurally similar one piece of data is to another.