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 and Analytics Must Be Properly Matched
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Big Data and Analytics Must Be Properly Matched
AnalyticsBig Data

Big Data and Analytics Must Be Properly Matched

Roman Vladimirov
Roman Vladimirov
3 Min Read
Image
SHARE

ImageThose who have any reasonable familiarity with the modern tech sector will fully understand the difference between big data and analytics.

ImageThose who have any reasonable familiarity with the modern tech sector will fully understand the difference between big data and analytics. However, you might be surprised how many people think that the latter naturally follows the former – that as long as you’re storing big data and using analytics methods alongside it, you’ll be able to effectively leverage them. But this isn’t going to be the case – not by default. 

Analytics must be used to examine and interpret data in the proper context, or the results gleaned from such efforts may end up being all but pointless, with no tangible benefits to your business operations. It can be particularly effective to pay the most thorough attention to data from customer transactions and activity that’s specifically relevant to the company’s financial bottom line.

The significant perils of poor analytics applications
According to CSO, there have been several prominent examples in which the improper uses of analytical techniques on big data have showcased how it is not infallible. Using sentiment analysis, a project undertaken at Harvard University aimed to predict the United States’ unemployment rate by monitoring certain keywords showing up on Twitter – including “jobs” and “unemployment” – and attempting to find a correlation between their use or underuse and the rise or fall of the American jobless rate. However, when they noted a huge spike in tweets containing the word “jobs,” this ended up having nothing to do with their theory, but was connected to the death of Apple co-founder Steve Jobs.

More Read

Saving Microseconds with Informatica’s Ultra Messaging
A tough attribution problem: Do Marketing Affiliates deserve all the credit they get?
Evaluating Cloud Solutions: How to Create the Right Team for the Job
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
Decision Tree Bagging

Even seemingly small differences like that can derail the whole purpose of analytics and big data. Essentially, the source states that incidents like the one described above prove that close personal analysis of this data needs to occur in conjunction with analytics solutions.

Looking at the right business intelligence
Your company’s IT professionals’ experience with close data analysis needs to be applied to examining the right metrics through the best set of analytics methods. Marketing Land recommends that customer analytics – techniques for looking at valuable customer information. These can be applied to interpret purchase history, information gleaned from satisfaction surveys, notes made by your customer service staff regarding calls they’ve placed and feedback on individual products from your website.

The source warns against mistaking site visitor data with customer data, as some firms view the former as actionable business intelligence even though it’s not half as valuable as the latter.

image: analytics/shutterstock

Share This Article
Facebook Pinterest LinkedIn
Share

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

Twitter Analytics : These words may be affecting your popularity

6 Min Read

#16: Here’s a thought…

7 Min Read
online data about gaming
Big DataExclusive

How Big Data Has Revolutionized the Gaming Industry

6 Min Read

Looking Ahead: Today’s Disruptions, Tomorrow’s Enterprise

12 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
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?