Data processing helped Barack Obama win the election

[subornaakter24]

This is one of the most common and emerging examples of how Big Data helps you win.

The presidential elections, in which Barack Obama was declared the winner, were not a coincidence.

To keep things simple and avoid delving into technical language that is incomprehensible and tedious for many, the former US President's team, together with HP Vertica MPP, a platform specializing in data processing, joined forces to find out the opinion of their followers and gain an advantage over their competition .

The task consisted of studying the opinions manufacturing email list of his followers through social networks. The task was to determine who agreed or disagreed with Obama's measures. In this way, changes could be made to his proposals to please his followers.

On the other hand, according to the results of HP Vertica MPP, they were able to identify the sectors that still had doubts about Obama's proposals.

In order to reach that sector, they decided to advertise during the commercial breaks of TV series with a good rating (The Walking Dead).

Contribution of Big Data
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 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.