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
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
    data analytics for trademark registration
    Optimizing Trademark Registration with Data Analytics
    6 Min Read
    data analytics for finding zip codes
    Unlocking Zip Code Insights with Data Analytics
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data Mistakes That Most Companies Make
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Decision Management > Big Data Mistakes That Most Companies Make
Big DataBusiness IntelligenceDecision ManagementKnowledge Management

Big Data Mistakes That Most Companies Make

Rick Delgado
Rick Delgado
5 Min Read
Big Data Mistakes
SHARE

Modern industries have been revolutionized by big data, and more businesses of every size are adopting it each day. However, even though big data has been around this long, there are still many heavy hitting mistakes being made with how it’s used.

Here are 5 of the biggest big data mistakes companies make, and what you can do to avoid them.

1.They Use big data to Confirm, Not Discover

Big data works at its best when it’s used to offer insights and discoveries that were previously overlooked. Not only can companies learn more about their target audiences and predict trends in the market, but they can also fine tune their processes to boost efficiency. However, many companies have a theory on what needs to be done already and will use big data as a way to prove it, taking a sample of the real findings while overlooking other insights that could sway the opinion.

More Read

google collecting data unauthorized
Here’s Why Google Is Being Investigated In Australia Over Data Collection
Social Engineering — Hacking by Asking
2012: The Year of Big Data in American Politics
Is Your Company Ready to Deploy Business Intelligence Intelligently?
Does Collaboration Impact Business Performance?

Instead, by looking at the whole of the data analytics, companies can get accurate information, not just pleasing information.

2.They Rely on Machine Learning, Not Human Learning for Problems

When companies have large-scale problems, they often turn to big data as the way to sort it out. However, often times big data can only solve one aspect of the problem, leaving a larger issue ignored and unsolved. At this point, data scientists are required to use their creativity joined with big data to identify and create a new solution for the second tier of the problem, until the issue as a whole has been resolved.

Instead of investing the bare minimum in big data and expecting it to be a magical fix, companies need to understand that big data is a tool – and a tool that only works in the right hands and when applied to the right problems. The first solution is usually just the first part of the solution.

3.They Separate Data from Business

Often times, companies will isolate their IT department as a closed sector meant to manage and improve from big data. However, in order for the insights that data analytics provides to truly benefit a business on a large scale, the results need to go beyond improving their technical systems or boosting their marketing efforts. It needs to affect how they do business and how their professionals interact on every level, creating and IT Transformation and business transformation.

Using big data internally allows managers to see how well their employees interact, where improvement could be made in departments, and even where their management style could use a boost. By taking advantage of data analytics to improve the infrastructure itself, it has better results everywhere else.

4.They Limit Their Groups of Data, Affecting Results

The way an interviewer asks the question can affect the ultimate answer. The same is true with big data. Since data pools are so vast, it’s impossible to sift through all the contents at once. This means queries must be sent out to collect data that will answer the questions experts pose. However, this process must be done delicately, because while you may receive the style of answers you were looking for, you can also be barred from different – sometimes viewed as irrelevant – insights that chance the entire perspective.

5.They Don’t Hire the Best Data Scientists

A tool is only a tool unless it’s put in the right hands. In the name of saving money or speeding along the integration of big data to their company, many overlook the value of choosing the right data scientists to manage it. Only a skilled professional with the right qualifications will be able to identify problems early, know the right queries to send in order to gain the most accurate insights, and where to focus the data harvesting to ensure your company is abreast of the right information at the right time.

With this in mind, just as important as it is for businesses to use big data, it’s even more important to ensure you have the right team on the job.

Big data is only useful if approached the right way. By cutting these 5 mistakes from their process, small and large companies can allow big data to work at its prime.

Share This Article
Facebook Pinterest LinkedIn
Share
ByRick Delgado
Follow:
All things Big Data, Tech commentator, Enterprise Trends and every once in a while I write for @dell.

Follow us on Facebook

Latest News

langgraph and genai
LangGraph Orchestrator Agents: Streamlining AI Workflow Automation
Artificial Intelligence Exclusive
ai fitness app
Will AI Replace Personal Trainers? A Data-Driven Look at the Future of Fitness Careers
Artificial Intelligence Big Data Exclusive
crypto marketing
How a Crypto Marketing Agency Can Use AI to Create Powerful Native Advertising Strategies
Blockchain Exclusive Marketing
data driven insights
How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Higher You Are, the Less You Know

6 Min Read

Social Monitoring Doesn’t Stop At Social Media

3 Min Read

Racing to Deliver You the Latest Insights

2 Min Read
Image
AnalyticsBest PracticesData ManagementDecision Management

Technology Integration and Big Data: Extracting Value

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.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
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?