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
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Could this be the next big – whoops, it’s already here!
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Could this be the next big – whoops, it’s already here!
Uncategorized

Could this be the next big – whoops, it’s already here!

TeradataEMEA
TeradataEMEA
3 Min Read
SHARE

Spotting trends early-on is the ultimate challenge in marketing. It’s one of the tricks that demand chain management (DCM) solutions can do if they are fed with real-time sales data and leverage powerful analytical capabilities. What makes trend spotting so challenging is the fact that it only makes sense if you manage to do it in a relatively small time frame: the trend must be there but it mustn’t be obvious to everybody yet.

If you want to know what a trend looks like at an early stage, ask Magnus Lindkvist. He identifies trends for a living – in the old-fashioned way, actually walking the high streets and other places, watching people. Click here to see a perfect example from his website. The video demonstrates impressively the various stages in which a trend evolves…

More Read

Skills Gap Challenges Potential of Predictive Analytics
A Reply to All PR People
Is good exposure over-exposed?
What Do Marketers Really Want in Data and Technology?
PASS Sessions and Speakers Announced!

Spotting trends early-on is the ultimate challenge in marketing. It’s one of the tricks that demand chain management (DCM) solutions can do if they are fed with real-time sales data and leverage powerful analytical capabilities. What makes trend spotting so challenging is the fact that it only makes sense if you manage to do it in a relatively small time frame: the trend must be there but it mustn’t be obvious to everybody yet.

If you want to know what a trend looks like at an early stage, ask Magnus Lindkvist. He identifies trends for a living – in the old-fashioned way, actually walking the high streets and other places, watching people. Click here to see a perfect example from his website. The video demonstrates impressively the various stages in which a trend evolves:

  • a trend is (usually) started a long time before you can tell whether it will ever become popular
  • a handful of “first movers” does not automatically mean that there will be a massive breakthrough (albeit it makes it more likely)
  • once there is a critical mass, the trend is self-sustaining and it attracts more and more attention from bystanders
  • once people start joining the existent “in-crowd” in larger numbers, it turns into a stampede as nobody wants to miss out

In the video, a successful trend spotter would have to predict the popularity of the dancing at some time between 0:55 and 1:30 (because afterwards, it really is obvious to everybody.) Not so easy, don’t you agree? Well, it’s retailers’ daily business. Economic uncertainty has made consumer demand extremely volatile, which means that retailers need to identify changes quicker than ever to take full advantage of their insights. We are sure that Magnus Lindkvist’s keynote at the Teradata Universe Conference in Berlin will spark some new ideas how to enrich the existing trend analyses in retail as well as in other industries.

 

Mario Bonardo

TAGGED:teradata
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive
qr codes for data-driven marketing
Role of QR Codes in Data-Driven Marketing
Big Data Exclusive
microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Why don’t they [IT] ever learn?

11 Min Read

When does a hard science become a team sport?

4 Min Read

Big Data: We Have the Technology, but Not the Vision

3 Min Read

A Very Good Year

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

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?