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 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
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Future of Marketing: Combining Big Data with Intuition
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 > The Future of Marketing: Combining Big Data with Intuition
Big Data

The Future of Marketing: Combining Big Data with Intuition

Rick Delgado
Rick Delgado
5 Min Read
Image
SHARE

ImageBusinesses are investing millions of dollars into big data, betting that number crunching and algorithms will be the silver bullet that’ll change the industry forever.

ImageBusinesses are investing millions of dollars into big data, betting that number crunching and algorithms will be the silver bullet that’ll change the industry forever. While the ability of computers to make rapid analyses dwarfs the capacity of humans, will computers ever really replace human intuition when it comes to making decisions?

There is a strong case for yes. Experience is valuable, but there are problems that come with relying too heavily on gut instincts when decision-making. One of the major problems with our intuition is that it’s incredibly biased. Computers (for the moment) don’t have emotional dilemmas during analysis. But as humans, we can have any number of variables affect our emotions and cloud our judgement. Anything from political preferences to family history can distort the gut check. As a result, it becomes easy to confuse emotions with instincts without even realizing it.  

That being said, intuition does have its place. As powerful as computers are, they perform better when guided by humans. Our computers are able to analyze data to find trends and patterns in seconds, but they still rely on humans to design the programs that process everything. Our minds and experiences are also key in helping identify business goals and connecting them with what the data says. Data is only as helpful as the inputs and their interpretation. That’s where our intuition comes in handy. Knowing which factors to consider and which variables should be accounted for stems from intuition. Algorithms help us make predictions, but those predictions are more likely to be true when overseen and analyzed by experienced leadership.

More Read

Image
Is Big Data Under Threat by New Internet Magna Carta?
A Deep Dive in Big Data
Data Storage in Space? It’s Already in the Works
What Does Taming Big Data Really Cost?
News from Washington: Teradata solutions for cloud computing and geospatial data

Another serious setback of predictive analysis, is its inability to help us prepare for something new. Big data is created by gathering historical information. We hope to find trends from the past to help identify key variables we can use to replicate (or avoid) outcomes in the future. But when that data isn’t available, we’re stuck. We can’t really rely on data from a television’s sales history to predict the success of brand new products, like tablets or smartwatches. While historical information may give us an idea of how people will react in certain seasons, or which features are most important, it’s hard to innovate relying solely on past information. Ultimately, it’ll be the instinct and experience of leaders that’ll determine the success or failure of a new venture, not algorithms and databases.

Steve Jobs, Apple’s brilliant founder, was a marketing genius. People often point to Jobs as the ideal example of why intuition trumps data. He didn’t focus on research or market trends and created some of the most influential devices of our time. Jobs was a genius, but he wasn’t infallible. There were a number of flops mixed in with his successes (see NeXT, Apple III or Power Mac G4 Cube). In fact, many of the great marketing minds had large failures. And while mistakes are found all along the path to success, it’s likely great thinkers like Jobs would’ve seen more successes, or at least avoided more disasters, if they had used real-time data to test ideas before going to market.

The future of successful marketing is one where big data is paired with marketing experience and intuition. Future programs and applications built to handle data will be more successful if they are designed for marketers and place humans at the center. Not to mention, with more companies adopting BYOD policies, and greater access to devices, more and more people will begin using data to influence their day-to-day decision making. Big data makes it easier to test concepts and avoid expensive flops, but data has a terrible imagination. That’s where experience is key. Thinking of the next big idea, then testing and perfecting it with the numbers before launch, will lead to more successes than simply relying on data or intuition alone.  

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

AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive
data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

data analytics in insurance industry
Big DataExclusive

Why Data Analytics In The Insurance Industry Is A Major Game Changer

8 Min Read

Market Penetration of Social Media – Who Uses Twitter?

3 Min Read
Big Data Solutions
Big Data

UAE Surveys Show Growing Demand for Big Data Solutions

5 Min Read
Image
Big Data

How Big Data and the Internet of Things Make Our World Smarter

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.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence 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?