Data processing not only made the job of propaganda easier, it was also useful in collecting donations that sponsored the former president's campaign. They managed to raise 1 billion dollars.
By using Big Data, they were able to retrieve donors' credit card details, so that it was not necessary to collect the data again; they only had to check if they had already made donations before. This helped them improve the fundraising process and in turn save time. These are two basic characteristics of mass data processing.
The use of Big Data has been applied to different industries. Right now it is of great benefit to eCommerce due to the certainty of its data.
In the case of politics, before Obama's campaign, the uruguay whatsapp resource use of data processing had not been recorded. So, Obama was the first (as a politician and presidential candidate) to enjoy and know how to take advantage of the benefits of data processing.
Macy's: Transformation of the traditional department store
This luxury department store has a long history of providing excellent customer service and has become a household name. Despite the heritage established since the first store opened in 1858, the brand has taken to the digital age like a duck to water.
Macy's uses Big Data to deliver a smarter customer experience. The brand analyzes multiple data points, such as stock levels and price promotions, and combines these findings with a product's stock-in-stock unit data at a given location, as well as customer data, to determine which products are on sale at each store.
This ensures that the products chosen are tailored to the purchasing habits of customers in each location.
In addition to this, Macy's collects customer data ranging from frequency of visits to style preference.
This information is used to personalize the customer experience, offering incentives at the point of sale with loyalty rewards and promotions. This information also allows you to send targeted direct mail to your customers to increase conversions.