Yeezy for Prezzy? – What would our world look like in 2025?

Yeezy for Prezzy? – What would our world look like in 2025?

Big data

Source: http://www.forbes.com/sites/gilpress/2015/12/15/6-predictions-for-big-data-analytics-and-cognitive-computing-in-2016/#53464fc3409e

Apart from the inevitable election of Kanye West as the president of the United States of America, what will our world look like in 10 years?

Big data analytics is the next trillion-dollar market according to an American investor, philanthrophist, author and CEO of Dell inc Michael Dell. The market for big data technology and services are forecasted to grow at a 23.1% compound annual growth rate, reaching $48.6 billion in 2019 (Forbes, 2015).

Information

Source: http://www.dri.pt/blog/information-power-jump-world-marketing-automation

Information is POWER!

The power of information increases when it is shared. With the help of big data, online retailers could track not only what customers bought, but also what else they looked at, how they navigated through the site and many more.

Spotify

Source: http://www.express.co.uk/life-style/science-technology/592622/Spotify-Discover-Weekly-Feature-Playlist-Custom-Recommendation

Have you ever wondered how Spotify are able to create a playlist that are based on your music taste? Well they use algorithms to predict music that individuals would like to listen to next. Big Data makes better predictions and smarter decisions.

Big mac

Source: http://www.lifehacker.com.au/2015/01/no-mcdonalds-is-not-dropping-the-big-mac/

From Big Data to Big Mac; How big data revolutionizing the food industry

In the past years, McDonalds has been using a data-driven culture by turning to trend-analytics to better understand what is happening at each individual restaurant to identify the best practices to improve restaurants overall.

The three factors that McDonalds use in an attempt to optimize their drive through experience include:

  1. Design
  2.  Information provided on the menu
  3. Types of customers coming through.

 

no-flying-cars-marty-the-most-popular-technology-of-2015-is-just-selfie-stick-back-to-the-future

Source: http://starecat.com/no-flying-cars-marty-the-most-popular-technology-of-2015-is-just-selfie-stick-back-to-the-future/

Thanks to big data in the cloud, information are more accessible regardless of expertise or budget. Businesses using Big Data will see $430 billion in productivity benefits over their competition not using data by 2020 (Forbes, 2016). But then again, we all thought by the year 2015 there would be flying cars, but all we are left with are selfie sticks.

 

Feel free to comment and share your thoughts on the topic down below! 

Till next time, sayonara!

Reference:

Brown, A. (2015). Spotify’s new feature wants to work out your new favourite artists. Express.co.uk. Retrieved 15 April 2016, from http://www.express.co.uk/life-style/science-technology/592622/Spotify-Discover-Weekly-Feature-Playlist-Custom-Recommendation

Forbes Welcome. (2016). Forbes.com. Retrieved 17 April 2016, from http://www.forbes.com/sites/bernardmarr/2016/03/15/17-predictions-about-the-future-of-big-data-everyone-should-read/#203d5c5d157c

Forbes Welcome. (2016). Forbes.com. Retrieved 17 April 2016, from http://www.forbes.com/sites/gilpress/2015/12/15/6-predictions-for-big-data-analytics-and-cognitive-computing-in-2016/#53464fc3409e

McAfee, A., & Brynjolfsson, E. (2012). Big Data: The Management Revolution. Harvard Business Review.

No flying cars Marty, the most popular technology of 2015 is just selfie stick. Back to the Future. (2015). Starecat.com. Retrieved 17 April 2016, from http://starecat.com/no-flying-cars-marty-the-most-popular-technology-of-2015-is-just-selfie-stick-back-to-the-future/

WIRED, H., & Industry, H. (2016). How Big Data is Revolutionizing the Food Industry. WIRED. Retrieved 17 April 2016, from http://www.wired.com/insights/2014/02/big-data-revolutionizing-food-industry/

 

 

 

 

 

 

Geolocation: Swiping your time one matches at a time

Geolocation: Swiping your time one matches at a time


Source: http://www.bustle.com/articles/121866-i-swiped-right-on-everyone-on-tinder-for-a-day-and-heres-what-happened

IT’S A MATCH! The strategy behind Tinder is simple and usually a 3 step process: See few photos of someone, read their bio, decide if you’re attracted to him or her and swipe accordingly.It works by introducing people looking for a date by using geolocation to detect potential couples in reasonable proximity to each other. But, have you ever wondered what companies are doing with the information you give?

Source: https://www.flickr.com/photos/chokola/1229450683/

Integrate

Geolocation is now emerging as a valuable tool to understand customer behaviors, drive traffic and increase revenue. It is the newest movement in Mobile Marketing and measurement. Companies now target customers by their location and use location-based data for business functions. This effort is more efficient and some what more accurate to form. Hence, involving their targeted audience is key for companies to succeed in the digital age.

Source: http://www.rstreet.org/2013/11/14/new-york-ag-treating-airbnb-customers-to-fishing-expedition/

Individualize

Location Based Marketing allows Businesses to create a virtual fishing net around the area they want to influence customers. They can decide what kind of baits can be used depending on the location of the customer. With the information they obtained through geolocation, businesses can customize messages based on the geographic area in which the user is present (Kaplan, 2012).

Source: http://cdn.digitalsport.co/wp-content/uploads/2015/10/Bayern.png

Involve

The most effective social media campaign often involve the users in some interactive ways. With over 100 million active users (Smith, 2014), Snapchat is a common social media platform for businesses to interact with its followers. Snapchat stories can be a way to reach out to followers in a way familiar to those using more “traditional” social media networks. Using geolocation techniques, Bayern Munich were able to pull in a huge number of Snapchats from the specific location which was FC Bayern’s home ground Allianz Arena and add them to their Snapchat story of Bayern vs Dortmund.

 

 

 

 

Feel free to comment and share your thoughts on the topic down below! 

Till next time, sayonara!

Reference:

Smith, C. (2014). 70 Amazing Snapchat Statistics. DMR. Retrieved 6 April 2016, from http://expandedramblings.com/index.php/snapchat-statistics/

Kaplan A. M. (2012). If you love something, let it go mobile: Mobile marketing and mobile social media 4×4, Business Horizons, 55(2), 129-139.

 

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