The use of consultants, analysts

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Predictive marketing Big Data makes it possible to anticipate consumer reactions thanks to the correlation of numerous data (statistical, behavioral, conversational, semantic, visual, etc. . Today, you can offer your audience individualized content thanks to geolocation, real-time analysis and real-time databases. . Personalization of information You can also set up a Customer Data Platform (CDP to take advantage of customer knowledge or a DMP (Data management Platform . Big Data gives you the ability to integrate external data. For example, if you have a merchant site, you will be able to follow customer journeys with collectors who save them.
  
To process them subsequently and personalize the content provided. Also read → From Big Data to Smart wedding photo editing service  Data in the banking sector Big Data limits and challenges There is no point in letting yourself be overwhelmed by the deluge of data generated by different media (Internet queries, social networks, sensors, smartphones, connected objects, etc. without having the resources necessary to process and analyze them. Rather, it is necessary to define an overall strategy focused on data, collected internally or obtained externally from data providers.



With well-exploited data, the company will be able to refine customer knowledge and develop its turnover through better targeting. The challenge is therefore to develop systems to extract usable and relevant information from this big data. But in the absence of effective filters and adequate processing, this flood of data could result in irrelevant, incomplete or erroneous information. Let’s take an example of the consequences of a lack of information filtering; the case of Google Flu Trends which is a real-time monitoring tool for flu epidemics offered by Google.