Top 10 Big Data Case Studies that You Should Know

In less than a decade, Big Data is becoming a multi-billion-dollar industry. Big data has its uses and applications in almost every industry. Big data has a massive contribution to the advancement in technology, growth in business and organizations, profit in each sector, etc.

Looking at the non-stop growth and progress of Big data, companies started adopting it more frequently. Let us look at the contribution of Big data in different organizations.

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Top 10 Big Data Case Studies

1. Big data in Netflix

Netflix implements data analytics models to discover customer behavior and buying patterns. Then, using this information it recommends movies and TV shows to their customers. That is, it analyzes the customer’s choice and preferences and suggests shows and movies accordingly.

According to Netflix, around 75% of viewer activity is based on personalized recommendations. Netflix generally collects data, which is enough to create a detailed profile of its subscribers or customers. This profile helps them to know their customers better and in the growth of the business.

2. Big data at Google

Google uses Big data to optimize and refine its core search and ad-serving algorithms. And Google continually develops new products and services that have Big data algorithms.

Google generally uses Big data from its Web index to initially match the queries with potentially useful results. It uses machine-learning algorithms to assess the reliability of data and then ranks the sites accordingly.

Google optimized its search engine to collect the data from us as we browse the Web and show suggestions according to our preferences and interests.

3. Big data at LinkedIn

LinkedIn is mainly for professional networking. It generally uses Big data to develop product offerings such as people you may know, who have viewed your profile, jobs you may be interested in, and more.

LinkedIn uses complex algorithms, analyzes the profiles, and suggests opportunities according to qualification and interests. As the network grows moment by moment, LinkedIn’s rich trove of information also grows more detailed and comprehensive.

4. Big data at Wal-Mart

Walmart is using Big data for analyzing the robust information flowing throughout its operations. Big data helps to gain a real-time view of workflow across its pharmacy, distribution centers, and stores.

Here are five ways Walmart uses Big data to enhance, optimize, and customize the shopping experience.

  • To make Walmart pharmacies more efficient.
  • To manage the supply chain.
  • For personalizinging the shopping experience.
  • To improve store checkout.
  • To optimize product assortment.

Big data is helping Walmart analyze the transportation route for a supply chain, optimizing the pricing, and thus acting as a key to enhancing customer experiences.

5. Big data at eBay

eBay is an American multinational e-commerce corporation based in San Jose, California. eBay is currently working with tools like Apache Spark, Kafka, and Hortonworks HDF. It is also using an interactive query engine on Hadoop called Presto.

eBay website uses Big data for several functions, such as gauging the site’s performance and detecting fraud. It also used Big data to analyze customer data in order to make them buy more goods on the site.

eBay has around 180 million active buyers and sellers on the website. And about 350 million items listed for sale, with over 250 million queries made per day through eBay’s auto search engine.

6. Big data at Sprint

Sprint Corporation is a United States telecommunications holding company that provides wireless services. The headquarters of the company is located in Overland Park, Kansas. It is also a primary global Internet carrier.

Wireless carrier Sprint uses smarter computing. Smarter computing primarily involves big data analytics to put real-time intelligence and control back into the network, driving a 90% increase in capacity. The company offers wireless voice, messaging, and also offers broadband services through its various subsidiaries.

Subsidiaries are under the Boost Mobile, Virgin Mobile, and Assurance Wireless brands.

7. Big data at Mint.com

Mint.com is a free web-based personal financial management service. It provides services in the US and Canada. It uses Big data to provide users with information about their spending by category. Big data also helps them to have a look at where they spent their money in a given week, month, or year.

Mint.com’s primary services allow users to track bank, investment, credit card, and loan balances. It also facilitates creating budgets and set financial goals.

8. Big data at IRS

The Internal Revenue Service (IRS) is a U.S. government agency. It is responsible for the collection of taxes and the enforcement of tax laws. The IRS uses Big data to stop fraud, identity theft, and improper payments, detecting who is not paying taxes. The IRS also handles corporate, excise and estate taxes, including mutual funds and dividends.

So far, the IRS has also saved billions of dollars in fraud, specifically with identity theft, and also recovered more than $2 billion over the last three years.

9. Big data at Centers for Disease Control

The Centers for Disease Control and Prevention (CDC) is the national public health institute of the United States. The main aim of CDC’s is to protect people’s health and safety through the control and prevention of diseases.

Using historical data from the CDC, Google compares search term queries against geographical areas that were known to have had flu outbreaks. Google then found around 45 terms correlated with the explosion of flu. With this data, the CDC can act immediately.

10. Big data at Woolworths

Woolworth is the largest supermarket/grocery store chain in Australia. Woolworths specializes in groceries but also sells magazines, health and beauty products, household products, etc. Woolworths offers online “click and collect” and home delivery service to its customers.

Woolworth uses Big data to analyze customers’ shopping habits and behavior. The company spent nearly $20 million on buying stakes in the Data Analytics Company. Nearly 1 billion is being spent on analyzing consumer spending habits and boosting online sales.

Conclusion

Big data is emerging as a fantastic technology that provides solutions to almost every sector. It helps organizations generate profits, increase their customers, optimize their systems, and whatnot.

Big data brings a kind of revolution in the technological world. There is no denying the fact that Big data will continue to bring advancement and efficiency in its applications and solutions.

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