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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Comparing Data Science and Analytics [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 > Analytics > Comparing Data Science and Analytics [INFOGRAPHIC]
AnalyticsBig DataData ManagementJobsUnstructured Data

Comparing Data Science and Analytics [INFOGRAPHIC]

tmeadows
tmeadows
3 Min Read
SHARE

Data is increasingly the new currency of enterprise—which is why companies are scrambling to tap into its potential to make better decisions. In order to do it, they need the right experts who know how to get at the big data stash and interpret it in meaningful ways. A data scientist and a business analyst are both such professionals, but they’re definitely not one in the same—and use different approaches when it comes to decision-making.

Data is increasingly the new currency of enterprise—which is why companies are scrambling to tap into its potential to make better decisions. In order to do it, they need the right experts who know how to get at the big data stash and interpret it in meaningful ways. A data scientist and a business analyst are both such professionals, but they’re definitely not one in the same—and use different approaches when it comes to decision-making. Since the two titles are often used interchangeably, Analytics@American, a masters in business analytics, created this infographic to help clarify the difference.

Although both types of experts use data in their work, they apply different skills to do it. The contrast can be attributed to their educational backgrounds. Business analysts are educated in specialties like business and humanities, and extract data from a variety of sources to evaluate past, present and future business performance. Data scientists use statistical programming to create and implement algorithms to do the work, since they have backgrounds in computer science, mathematics and technology.

These differences are translated into the skills they use to support business decisions, as well. Business analysts instigate change by transforming business insights from interdisciplinary data analysis into tangible resources for business decision-making. In contrast, data scientists work at more foundational levels, discovering the opportunity in datasets by mining data and writing machine learning algorithms to support the decision-making process.

More Read

Data mining ‘one-click’ applications
BI 2010 – Optimizing revenue collection
Risk-taking
The Dream Team: Building The Ideal Product Team with Marvels of Data Analytics
Big Data Makes the Super Bowl a Personal Experience

To learn more about how these two types of big data experts can uniquely help your company make better business decisions, dig into the infographic below.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

chatgpt image jul 18, 2026, 05 09 14 pm
When Data-Driven Businesses Must Recover Data from USB Drives
Big Data Exclusive
chatgpt image jul 15, 2026, 03 28 38 pm
How Cloud Technology Helps IT Asset Recovery Services
Cloud Computing Exclusive IT Security
chatgpt image jul 13, 2026, 04 23 45 pm
How Data Analytics Helps Companies Improve User Engagement
Analytics Big Data Exclusive
chatgpt image jul 13, 2026, 04 19 58 pm
Can AI Help Companies Improve PPC Fulfilment?
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

“The consulting business may drive sales for a lot of IBM’s own technologies, as well. The company…”

2 Min Read
big data is important for conversion rate optimization for small businesses
Analytics

Smart Businesses Must Invest in Data Analytics for Higher Conversions

7 Min Read

The Virtues of Automating Reconciliation

8 Min Read

Tips for Starting Your Dashboard Layout

7 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?