Free Quiz
Write for Us
Learn Artificial Intelligence and Machine Learning
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books
Learn Artificial Intelligence and Machine Learning
No Result
View All Result

Home » Top Companies that use Big Data

Top Companies that use Big Data

Sarah Gomes by Sarah Gomes
January 30, 2021
in Big Data, News
Reading Time: 4 mins read
0
bigdata
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsApp

You have been a part of Big Data; Learn How? According to a 2018 Forbes article, we produce 2.5 quintillion bytes of data every day. In this vast ocean of data, Big Data is a game-changer for businesses and industry influencers.

It acts as a harnessing medium to turn data into the tool. A profit earning-tool that provides businesses with precise insights to boost their growth. Today, more customers have accepted online modes, and businesses are quickly turning towards advanced AI and big data integrated platforms.

On-demand and personalized consumer experiences have become a standard for online platforms, from streaming services to eCommerce or online food ordering systems. Also, since big data requires analyzing the customer’s current choices, it helps design more robust marketing campaigns and even predicts consumer reactions.

Advertisements

Here are some companies who are using these big data analytics to their leverage:

Table of Contents

  • McDonald’s
  • Starbucks
  • Netflix
  • Amazon
  • Google

Read More:- How Is Data Science Used Across Industries?

Advertisements

McDonald’s

mcdonalds

 

 

 

 

 

 

Image Credits: twitter.com

The food industry is dynamic and volatile, consistently depending on the customer’s taste (quite literally) and preferences. To be in trend, the company has to be The Trend. But currently, with “healthy eating.” in the hype, fast foods were fading into oblivion. Then McDonald used collected data of the years to their advantage. With the aim of personalized customization to digital menus. When a customer was at a 

Drive-thru, the menu would alter itself based on weather, previous sales records, or time of the day. This data enabled targeted offers and promotions.

Advertisements

According to a 2017 Chicago Tribune article, Japanese consumers who used the company’s mobile app spend an average of 35 percent more because of this spot-on recommendations feature.

Starbucks

starbucks

 

 

 

 

 

Image Credits: en.wikipedia.org

Starbucks has applied big data analytics to their Starbucks rewards programs. The way these works is when a member uses the Starbucks reward programs and mobile app to place an order, the app stores the customer’s ideal offer preferences and buying habits. 

Advertisements

Some stores even display ‘most-bought’ orders to baristas before customers could even get to the counter, speeding up charges and service time. The data collected from the program is used to tailor better menus and relevant marketing solutions to promote sales based on season, location, or weather, and place to open new stores.

Read More:- Most Popular Data Science Python Libraries for ML & DL

Netflix

netflix

 

 

 

 

Image Credits: variety.com

Advertisements

Big data analytics has made Netflix one of the biggest online streaming platforms, with over 195+ million subscribers globally. Netflix’s retention rate is at 91%. Their originally produced catalog of TV shows and movies, according to trends, has been a substantial contributing factor.

Since their interface suggests what-to-watch next based on watch history or past search results, this data is analyzed by genre, ratings, or actors. A new catalog of movies is shown to the user based on it. This leads to a binge-watching chain. Through which their ultimate aim of retention is accomplished.

They also accumulate data of what device was used for the viewing, the timing, and date of the viewing, whether the user had paused and left, etc. In the future, they plan on altering trailers as per the user’s taste. 

Advertisements

Suppose a user prefers action movies. The entire trailer would be mostly action sequences to invoke the user’s anticipation for the film.

Amazon

amazon

 

 

 

Image Credits: amazon.com

One of the biggest e-commerce shops at the moment and all credits to their extensive database. It uses big data round the clock to upgrade its customer experience. Here is an instance that shows just how effectively that works.

Advertisements

Dynamic pricing: A common strategy used in the Airline industry while selling plane tickets. If the user checks the same price of tickets repeatedly, it presumably means he is persistent to buy them. That similar rationale is applied to Amazon’s website. Another fact is that they change their prices up to 2.5 million times a day. Competitor’s prices or shopping patterns influence these.

Amazon’s ability to embrace technology from sophisticated algorithms while streamlining customer service experience has made it what it is today.

Read More:- Explained: Technology Behind Facebook& Machine Learning Models for Covid-19

Advertisements

Google

google

 

 

 

Image Credits: en.wikipedia.org

One of the most noticeable employment of embedded analytics is done by Google. It isn’t very good of advancing numerous open-source tools and technologies currently being used by other data-driven companies and organizations.

Google can use mining data and set advertisements for customers who use free Google products, enabling them to keep track of customers. This has helped Google to spawn a ton of ad revenue. At the same time, it is giving businesses a vast platform for advertising. 

Advertisements

While they collect your name, birthday, phone number, gender, videos you watch, your location history, ads you click, and more, they are transparent about their usage. None of it is ever monetized or sold, or given access to by anyone other than you.

Tags: big databig data companiesbig data integrated platformsTop Companies that use Big Data
ShareTweetShareSend
Previous Post

Explained: Technology Behind Facebook’s Machine Learning Models for Covid-19

Next Post

How Is Data Science Used Across Industries?

Sarah Gomes

Sarah Gomes

Sarah Gomes is a Novice blogger, pursuing Bachelors in IT. She is inspired by her travel adventures and a pursuit to carve a niche in photography. She is someone who strongly believes in the power of positive thinking and aspires to accomplish a successful career in Software Programming.

Related Posts

How SSL Encryption Secures Big Data In Cloud Computing?

April 14, 2022

OpenSea Sees Massive Volume, Collections Gain Popularity as NFTs Boom in 2022

January 6, 2022
binance-nft-market

Binance NFT Market launches NFT subscription mechanism

January 6, 2022
Rising-Bitcoin

Rising Bitcoin Leverage Keeps Traders on Edge as Volatility Drops

January 5, 2022

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

TRENDING

Chatbot Gone Rogue, Sparks Debate over Morals of Artificial Intelligence in South Korea

Lee Luda
by Sarah Gomes
January 18, 2021
0
ShareTweetShareSend

Indian Blockchain Startups You Need To Know About

blockchain-startups
by Tarun Khanna
January 23, 2021
0
ShareTweetShareSend

Explained: Technology Behind Facebook’s Machine Learning Models for Covid-19

Technology-Behind-Facebooks-Machine-Learning-Models-for-Covid-19
by Tarun Khanna
January 25, 2021
0
ShareTweetShareSend

Natural Language Processing In Finance- Acing Digitization Game

Natural Language Processing
by Vatsal Ghiya
March 31, 2022
0
ShareTweetShareSend

Top Data Science Interview Questions and Answers for 2023

Data Science Interview Questions and Answers
by Tarun Khanna
March 21, 2023
0
ShareTweetShareSend

How Is Data Science Used Across Industries?

data science
by Sarah Gomes
January 31, 2021
0
ShareTweetShareSend

DeepTech Bytes

Deep Tech Bytes is a global standard digital zine that brings multiple facets of deep technology including Artificial Intelligence (AI), Machine Learning (ML), Data Science, Blockchain, Robotics,Python, Big Data, Deep Learning and more.
Deep Tech Bytes on Google News

Quick Links

  • Home
  • About Us
  • Write For Us
  • Submit Startup Story
  • Advertise With Us
  • Terms of Service
  • Disclaimer
  • Cookies Policy
  • Privacy Policy
  • DMCA
  • Contact Us

Topics

  • Artificial Intelligence
  • Data Science
  • Python
  • Machine Learning
  • Deep Learning
  • Big Data
  • Blockchain
  • Tableau
  • Cryptocurrency
  • NFT
  • Technology
  • News
  • Startups
  • Books
  • Interview Questions

Connect

For PR Agencies & Content Writers:

connect@deeptechbytes.com

Facebook Twitter Linkedin Instagram
Listen on Apple Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
DMCA.com Protection Status

© 2023 Designed by AK Network Solutions

No Result
View All Result
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books

© 2023. Designed by AK Network Solutions

Welcome Back!

Login to your account below

Forgotten Password? Sign Up

Create New Account!

Fill the forms below to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In