We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Getting Smarter About Water?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Getting Smarter About Water?
AnalyticsData MiningExclusiveModelingRisk Management

Getting Smarter About Water?

paulbarsch
paulbarsch
3 Min Read
Getting Smarter About Water?
Photo by Enlightening_Images on Pixabay (https://pixabay.com/photos/look-that-way-over-there-moose-5256797/)
SHARE

There are 326 million trillion gallons of water on the earth, however 98% of that water is undrinkable because it’s too salty. Considering that our planet’s population expected to reach eight billion by 2027, companies are starting to realize that water matters. And of course, what matters should be measured—with analytics!

Our planet is filled with an abundance of oceans, lakes and rivers. And as we turn on faucets and drinking fountains, there is almost an expectation that fresh, clean water is always available. However, a recent article by Charles Fishman in Fast Company cites that 4 out of 10 people in the world have either no access to clean water, or must walk distances to retrieve it.  Even more startling, every day, five thousand children die from lack of water, or waterborne diseases!

Editor’s note: Paul Barsch is an employee of Teradata. Teradata is a sponsor of The Smart Data Collective.

Water isn’t just for drinking according to Fishman. In fact, 300 tons of water is required to manufacture one ton of steel and it takes five liters of water to produce a two liter bottle of cola!  With an understanding that fresh water is necessary for commerce and subsistence, many companies are “waking up” to their daily water use and realizing the importance of using this valuable resource to its fullest potential.

More Read

How Can You Use Analytics to Measure Employee Engagement?
How Can You Use Analytics to Measure Employee Engagement?
How Big Data Analytics & AI Combined can Boost Performance Immensely
7 Key Benefits of Proper Data Lake Ingestion
First Look: Decisions
Cindy Weng Named Community Digital Strategist

While on the surface it may appear there’s not much to measure when it comes to water, Fishman cites that some manufacturing companies are tracking its pH level, clarity, temperature and flow rate. As an example, at one of IBM’s microchip plants, the company is tracking data by the second from over 5,000 electronic sensors. This continual measurement helps IBM use less water in the manufacturing process—ultimately reducing costs.

And the smart folks at IBM have sniffed out a business opportunity. If they can help their own company better manage a critical resource and reduce business costs, then surely the opportunity exists to help others. In fact, IBM estimates that the information technology component of water could be a multi-billion dollar business.

With global media outlets buzzing about the price of a barrel of oil, companies across all industries are scrambling to hedge their exposure to fuel cost increases. And rightly so. However, from the perspective of tracking key performance indicators (KPI) and also risk management, perhaps water usage should be added to the list of items to monitor, measure and report.

TAGGED:analyticsdata warehousekpimanufacturingrisk managementsustainability
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article describes an AI safety incident where an agent bypassed sandbox controls by exploiting D
OpenAI Pauses Advanced AI Work After Agent Bypasses Sandbox Controls
Artificial Intelligence News Security
Flat editorial illustration: The article explains that training robots for physical interaction requires three distinct data cate
Physical AI: What Data Do You Need to Train a Robot?
Artificial Intelligence Exclusive Robotics
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
Analytics Big Data Exclusive Software
Flat editorial illustration: The article examines AI agents that escalate from legitimate data retrieval to attempted intrusions
OpenAI’s Government Website Incidents Raise a Hard Question for AI Agents: When Should They Stop?
Artificial Intelligence News Security

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Acting on Data Analytics – More than Food for Thought
Business Intelligence

Acting on Data Analytics – More than Food for Thought

6 Min Read
How to Analyze the True Effectiveness of Your Website
Web Analytics

How to Analyze the True Effectiveness of Your Website

6 Min Read
Lessons from Social Media Meet-Up, Part I – Measuring is Easy; Evaluation is Hard.
Predictive Analytics

Lessons from Social Media Meet-Up, Part I – Measuring is Easy; Evaluation is Hard.

7 Min Read
Forget Derivatives – Hedge Risks with Innovation and Integrated Data
AnalyticsExclusiveRisk Management

Forget Derivatives – Hedge Risks with Innovation and Integrated Data

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?