An Introduction to Data-Driven Decision Making for Small Water Utilities

At its core, data-driven decision-making (DDDM) is an approach to business strategy that relies on verifiable data to make informed choices, rather than intuition, anecdotal evidence, or past experiences alone. It involves collecting, analyzing, and interpreting data to gain insights that guide actions and improve outcomes. Water utilities are one of the most data-heavy enterprises out there, so they stand to make large productivity and financial gains through the use of DDDM. The cost of DDDM is now affordable enough that even the smallest water utilities can implement a program and big benefits.

Predictive Maintenance Video:    • Predictive Maintenance for Small Water Sys...  

Well Health Check Resource Guide: https://beacon.by/library/view/c4b7b1...

Southeast Hydrogeology web site: https://www.sehydrogeology.com

[[Chapters]]
00:00 - Introduction
01:09 - What is Data Driven Decision Making
03:01 - Benefits of DDDM
07:01 - Types of Data Sources
10:16 - Data Acquisition Methods
13:11 - Data Sources Overview
15:19 - Roadmap for Implementing DDDM
23:19 - Visualizing Data Effectively
25:07 - Implementation Roadmap
26:28 - Examples of DDDM in Action
32:57 - From Reactive to Proactive Decisions
34:20 - Challenges in DDDM Implementation
38:33 - DDDM and Systematic Utility Management
40:35 - Conclusion
41:30 - Thank You