Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Viability of Big Data [INFOGRAPHIC]
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 > The Viability of Big Data [INFOGRAPHIC]
Big DataData MiningData QualityData Visualization

The Viability of Big Data [INFOGRAPHIC]

Datafloq
Datafloq
2 Min Read
SHARE

The three V’s (Velocity, Volume and Variety) are known for most of the visitors on this platform to describe big data. However, sometimes also the V of Value is mentioned or in this case the V of Viability. The below infographic describes viability as carefully selecting those attributes in the data that are most likely to predict outcomes that matter most to organizations. As many big data scientists believe that 5% of the attributes in the data are responsible for 95% of the benefits, paying attention to the most important attributes can be very rewarding:

The three V’s (Velocity, Volume and Variety) are known for most of the visitors on this platform to describe big data. However, sometimes also the V of Value is mentioned or in this case the V of Viability. The below infographic describes viability as carefully selecting those attributes in the data that are most likely to predict outcomes that matter most to organizations. As many big data scientists believe that 5% of the attributes in the data are responsible for 95% of the benefits, paying attention to the most important attributes can be very rewarding:
The Big V's of Big Data | PROS.com
Brought to you by Pros Big Data Software

TAGGED:infographic
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive
julia taubitz vn5s g5spky unsplash
Benefits of AI in Nursing Education Amid Medicaid Cuts
Artificial Intelligence Exclusive News
AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

5 Steps To Data-Driven Marketing [INFOGRAPHIC]

1 Min Read

Big Data is Big Business in Banking [INFOGRAPHIC]

1 Min Read

A Powerful Combination: Big Data and Healthcare

1 Min Read

The Future of Big Data, Visualized [INFOGRAPHIC]

3 Min Read

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

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

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?