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: Four Steps to Success with Big Data
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 > Four Steps to Success with Big Data
AnalyticsBusiness IntelligenceData MiningDecision ManagementPolicy and Governance

Four Steps to Success with Big Data

Brett Stupakevich
Brett Stupakevich
4 Min Read
Four Steps to Success with Big Data
Photo by nattanan23 on Pixabay (https://pixabay.com/photos/money-coin-investment-business-2724241/)
SHARE

Author: Amanda Brandon
Spotfire Blogging Team

Benjamin Woo (@benwoony), program vice president of worldwide storage systems research and the voice of Big Data for IDC (@IDC) set the tone for a Big Data focus that’s all about “volume, variety, velocity and value” at the Implementing Information Infrastructure Symposium (#IIIS) in Sydney, Australia last week.

Defining Big Data

First, Woo defined the term Big Data as simply the “ability to derive value through technology.” In a recap of his presentation from ARN, we learn that “the concept [of Big Data] is not new.” What is new is the way we are using it, says Woo.

More Read

big data
The Future of Big Data: 10 Predictions You Should Be Aware Of
Welcome To The Digital Age: BI Meets Social Media
R Integrated Throughout the Enterprise Analytics Stack
How Data Analytics Is Transforming eCommerce Payments
Data Analytics Driving the Modern E-commerce Warehouse

“The newness that we are talking about here is related to economics, accessibility to technologies and to the fact that we have put together all the data sources in the world,” says Woo.

Big Data Lends a Competitive Edge

While he predicts Big Data affecting all business operations on a daily basis, he says the areas most affected are “decision support and automation interface, analytics and discovery, data organization and management as well as infrastructure.

That’s huge. And companies that don’t focus on it could lose a competitive edge, as we’ve written before on the blog.

The Four Vs of Big Data

Woo recommended four keys or “four Vs” to making Big Data work for your organization:

  1. Volume – Big companies produce Big Data. But it’s important for companies of all sizes to embrace it. Larger enterprises have to do it more quickly because competitors “are more likely to be doing the same thing.”
  2. Variety – The more sources, the better, Woo says. He recommends collecting data from as many social services (Facebook, Twitter, YouTube) and less-considered sources including mobile devices and bar codes as well as good ole data entry.  This will become even more important as companies adopt a social business model.
  3. Velocity – The key here is for businesses to clean up data and deal with it quickly through “analytics and discovery work.” In a Computerworld wrap up of his presentation, he says if “IT staff looked at data analytics, they could start bringing those into the organization and make them part of the process of IT.”As Marcus Borba (@marcusborba) says in his hot 2011 BI trends updates, “Increasing demands for decision support and operational BI are forcing IT organizations to come up with faster solutions “speed of change can make a traditional BI project obsolete before it’s even rolled out, so agility is becoming the new buzzword in some companies.”
  4. Value– Acting on data is how we create opportunities and derive value, says Woo.”Big Data is all about supporting decisions, so when you are looking at decisions that can have billions of dollars worth of impact, you are going to want as much information as possible to support your case,” he says.

What’s Next for Big Data?

Woo believes the largest challenge facing companies is knowing what to do with Big Data. He says the ultimate action item is to “simplify infrastructure and architectures” and to spend time “making the CEO and customer happy.” And that includes using Big Data to feed them information.

Next Steps

Stay tuned to the Spotfire blog for more coverage on Big Data this week and follow the TDWI World Conference on Twitter this week (#TDWI).

Amanda Brandon
Spotfire Blogging Team

TAGGED:tdwi
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

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
Flat editorial illustration: The article's core relationship is the alignment between customer behavioral data (visit frequency,
Data-Driven Loyalty: How Restaurants Use Behavioral Analytics to Optimize Revenue
Exclusive
Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

10 Don’ts for Delivering Mobile Business Intelligence
AnalyticsBusiness IntelligenceCollaborative DataData VisualizationDecision ManagementKnowledge Management

10 Don’ts for Delivering Mobile Business Intelligence

14 Min Read
Fascination with Hadoop pushes, pulls Big Data analytics into mainstream. (Part One)
AnalyticsBusiness IntelligenceCommentaryData WarehousingDecision ManagementHadoopKnowledge Management

Fascination with Hadoop pushes, pulls Big Data analytics into mainstream. (Part One)

6 Min Read
Hadoop pushes, pulls Big Data analytics into mainstream (Part Two)
AnalyticsBusiness IntelligenceCommentaryData VisualizationData WarehousingDecision ManagementHadoopKnowledge Management

Hadoop pushes, pulls Big Data analytics into mainstream (Part Two)

8 Min Read
TDWI World Conference Chicago 2009
Business IntelligenceData Warehousing

TDWI World Conference Chicago 2009

14 Min Read

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

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?