15 important case studies on Big Data
23andMe is a privately held personal genomics and biotechnology company. The company has developed its whole model around pulling insights from big data to give customers a 360-degree understanding of their genetic history.
Commonwealth Bank of Australia is using big data to analyse customer risk. Using analytics can get better risk assessment businesses, ongoing cash flow performance and early warning of risk challenges.
The Centers for Disease Control and Prevention (CDC) is the national public health institute of the United States. Its main aim is to protect people health and safety through the control and prevention of diseases. CDC had to rely on doctor reports of influenza outbreaks. CDC was weeks behind in providing vaccines to the affected patients. Using historical data from the CDC, Google compared search term queries against geographical areas that were known to have had flu outbreaks. Google then found forty five terms correlated with the outbreak of flu. With this data, CDC can act immediately.
Delta Air Lines, Inc. is a major American airline with an extensive domestic and international network. In general the top concern for an airlines would be passenger’s lost baggage. Delta looked further into their data and created a solution that would remove the uncertainty of where a passenger’s bag might be.
Energy Future Holdings Corporation is an electric utility company. The majority of the company’s power generation is through coal- and nuclear-power plants. The company used Big data to install smart meters. The smart meters allows the provider to read the meter once every 15 minutes rather than one month.
Google constantly develops new products and services that have big data algorithms. Google uses big data to refine its core search and ad-serving algorithms. Google describes that the self-driving car as a big data application.
Kreditech is a young tech company headquartered in Hafencity, Hamburg. The European company uses Big Data to create a unique credit score for consumers using more than 8000 sources. The analysis also lead to a surprise discovery of correlation between social media behaviour and financial stability.
LinkedIn is a business-oriented social networking service. Founded in December 2002 and launched in 2003, it is mainly used for professional networking. LinkedIn uses big data to develop product offerings such as people you may know, jobs you may be interested in, who has viewed my profile and more.
McLaren Racing Limited is a British Formula One team. The racing car team uses real-time car sensor data during car races, identifies issues with its racing cars using predictive analytics and takes corrective actions pro-actively before it’s too late.
Mint.com is a free web-based personal financial management service for the US and Canada. Mint.com uses big data to provide users information about their spending by category and have a look where they spent their money in a given week, month or year.
The healthcare providers in Singapore used analytics to better understand each patient’s condition, lifestyle choices, work and home environment. They can create personalized treatment plans tailored to that person’s individual behaviour.
Sprint Corporation, is a United States telecommunications holding company that provides wireless services and is also a major global Internet carrier. It is the third largest U.S. wireless network operator as of 2014.Wireless carrier Sprint, uses smarter computing – primarily big data analytics to put real-time intelligence and control back into the network driving a 90% increase in capacity.
The mobile operator has integrated Big Data across multiple IT systems to combine customer transaction and interactions data in order to better predict customer defections. By leveraging social media data (Big Data) along with transaction data from CRM and Billing systems, T-Mobile USA has been able to “cut customer defections in half in a single quarter”.
United Parcel Service of North America, Inc., referred as UPS , is one of the largest shipment and logistics companies in the world. The company tracks data on 16.3 million packages per day for 8.8 million customers, with an average of 39.5 million tracking requests from customers per day. The company stores over 16 petabytes of data.
US Xpress, provider of a wide variety of transportation solutions collects about a thousand data elements ranging from fuel usage to tire condition to truck engine operations to GPS information, and uses this data for optimal fleet management and to drive productivity saving millions of dollars in operating costs. Read more