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
    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 and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 3 Big Data Pitfalls and How to Avoid Them
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 > Best Practices > 3 Big Data Pitfalls and How to Avoid Them
Best PracticesData MiningData QualityData WarehousingDecision Management

3 Big Data Pitfalls and How to Avoid Them

Brett Stupakevich
Brett Stupakevich
5 Min Read
SHARE

pitfalls11 150x148 photo (data analytics big data )Google has indexed 1.5 million results for the term “big data,” a testament to its quick march to buzzword status.

pitfalls11 150x148 photo (data analytics big data )Google has indexed 1.5 million results for the term “big data,” a testament to its quick march to buzzword status.

But unfortunately the hype is creating potential pitfalls that organizations must maneuver around to be able to achieve the large business returns that C-level executives believe big data can provide.

More Read

First Look – Be Informed
Why Data Should Be a Business Asset: The 1-10-100 Rule
Top 10 analytic mistakes
You Say Tomato, I Say Protocol
Automated Valuation Models

One of the most daunting challenges to successfully exploiting big data is ensuring that the right questions are being used to analyze big data to get true business insight.

Here are three potential big data pitfalls and how to avoid them:

  • A multitude of big data definitions: While one of the first definitions of big data focuses on large volumes of data that flows into an organization very quickly in a wide variety of formats, the term has evolved to encompass much more.
  • Technology buyer chaos: The options for technology buyers are growing quickly as a wide variety of vendors not formerly in the analytical space attach big data labels to their hardware and storage solutions.
  • Aversion to problem solving: In too many companies, the discussion around big data has shifted away from the business problem to looking at technology in isolation.

The bottom line is that organizations should focus on creating business value from big data, according to Forbes contributor and CEO of Constellation Research R. “Ray” Wang.

Start each project by asking the following:

  • What are the questions that need to be asked?
  • What are the answers that help us move from data to decisions?
  • Can we shift insight into action?
  • How do we tie information to business process?
  • Who needs what information at what right time?
  • How often should this information be updated, delivered, and shared?

In a recent Wall Street Journal blog post, PricewaterhouseCoopers Principals Bill Abbott and Chris Curran agree, noting that the first question executives need to ask before diving in to big data is: “Why?”

Exploratory questions can be as simple as understanding how products, profits or behaviors are distributed across customers, the pair go on to say. After answering these questions, it might make sense to investigate and understand whether to enhance relationships with customers, reconfigure supply chains or repair the company’s brand reputation.

Moreover, while most businesses historically have focused on using technology to support routine decisions rather than complex or highly coordinated ones, that has meant pouring money into keeping the business running without much innovation, adds Marc Demarest, CEO and principal of management consultancy Noumenal Inc., at a recent big data analytics conference. Big data, though, could mean big innovation, he says.

Organizations should begin by scrutinizing the data they’re already collecting and find decisions that are routine or algorithmic, take a long time to complete, or are performed by only one person.

“And you want to find the ones that are closely connected to top-level financial metrics or key performance indicators  because this is all about determining outcomes,” he notes.

Thus, businesses can monitor how the process is working and make the necessary adjustments to fully exploit adding big data analysis to the mix.

Next Steps:

  • Subscribe to our blog to stay up to date on the latest insights and trends in big data.
  • To learn more about how analytics can improve your business and increase your bottom line, check out our complimentary “5-Minute Guide to Business Analytics,” to find out how user-driven “analytic” or “data discovery” technologies help business and technology users more quickly uncover insights and speed action.

TAGGED:big data
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

future of AI in gaming industry
Artificial IntelligenceExclusive

How To Refresh Your Gaming Lineup And Accept The Future of AI Gaming

6 Min Read

Meet Your Company’s New Virtual Assistant – Big Data

0 Min Read
data breaches and solutions
Best PracticesBig DataData ManagementPrivacy

Big Data is Causing A Surge of Data Breaches – Here Are Some Solutions

7 Min Read
data ethics
Big DataData CollectionExclusive

Essential Data Ethics and Privacy Practices for Social Media Marketers

6 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?