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: Big Data: We Have the Technology, but Not the Vision
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Culture/Leadership > Big Data: We Have the Technology, but Not the Vision
AnalyticsCulture/LeadershipDecision Management

Big Data: We Have the Technology, but Not the Vision

JoeMcKendrick
JoeMcKendrick
3 Min Read
Big Data: We Have the Technology, but Not the Vision
Photo by AS_Photography on Pixabay (https://pixabay.com/photos/digital-marketing-technology-1433427/)
SHARE

There’s been plenty said about how the power of data analytics will drive efficiency and new opportunities for today’s and tomorrow’s organizations. However, there’s one catch — most organizations don’t know what to do with all the data they are gathering — and most are doing nothing with it, yet.

That’s the view of Todd Walter, CTO of Teradata and data analytics visionary. I had the opportunity to sit down and talk with Walter at last week’s Teradata Partners conference in San Diego, who talked about the sensor explosion occurring underneath our feet, as well as emerging analytics-driven organizations.

“The thing that will really explode over the next few years, over the next decade, is sensor data,” he explains. Perhaps the biggest revolution in analytics is coming from sensor data that is becoming part of every aspect of our society — from transportation to energy to entertainment. “You know how many sensors are in your car?” He asks.  The problem is “right now data is being thrown on the floor,” he says.

When that day comes, and organizations figure out how to pull this data together, the magic will happen, he predicts, “there will be a point when manufacturers will want the data back. They will be able to analyze and diagnose problems, and improve product designs.”

Sensors are everywhere. Some municipalities are now even “building roads with sensors in each slab of concrete,” he adds. This enables engineers to track wear and tear and identify areas that will need repair.

Another area being disrupted as a result of sensors is the utility industry. “Utilities are scared to death right now,” he comments. They’re aren’t scared because consumers will be able to track and regulate their own energy usage, or that there will be bi-directional management of appliances in households. The problem, Walter says, is the overwhelming volumes of data that utilities now have to contend with. “Utilities will soon have three orders the magnitude of data than they ever operated with before.”

It’s going to take some time before most organizations are able to act on the potential offered by all the data now being collected, he says. The ability to actually compete on analytics is still limited to a few cutting-edge companies.

Achieving value from the data piling up with enterprises requires “vision,” Walters adds.  Right now, when it comes to Big Data, more vision is needed, as organizations start to learn what data they have.

(Cross-posted at SmartPlanet Business Brains.)

TAGGED:teradata
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data
Flat editorial illustration: The article explains how one KYC upload becomes separate records held by a verification vendor and a
What Happens to My KYC Data Behind the Approval Screen?
Big Data Exclusive
Flat editorial illustration: The article connects AI-generated avatar variants with disciplined, measurable video experiments. A
How to Use an AI Avatar Generator to Run Measurable Video Experiments
Artificial Intelligence Exclusive
Flat editorial illustration: The article’s core relationship is between growing compute density and adaptable rack hardware that
6 Details That Make a Data Centre’s Server Room Easier to Scale
Best Practices Data Management Exclusive IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

To eTOM or not to eTOM
Data MiningPredictive Analytics

To eTOM or not to eTOM

6 Min Read
Walled Gardens and the Value of Innovation: Questions for Bill Franks
AnalyticsBest PracticesDecision ManagementExclusiveKnowledge ManagementRisk Management

Walled Gardens and the Value of Innovation: Questions for Bill Franks

6 Min Read
Why don’t they [IT] ever learn?
Data Warehousing

Why don’t they [IT] ever learn?

11 Min Read
On Holiday in Snowy Sheffield
Uncategorized

On Holiday in Snowy Sheffield

7 Min Read

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

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?