Data Quality: An Unwinnable Challenge?

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Another challenge for digital marketing has to do with data quality. If the biggest obstacle to the implementation and adoption of AI and machine learning is, in fact, poor data quality, we can understand why organizations are spending enormous resources to ensure the quality of their data.

The fact is that data quality can always be compromised, in an uncontrollable variety of situations : users can enter data incorrectly, a system setting might assign the wrong code to certain actions, or a typo might end up in a script designed to facilitate data transformation. The reality is that the data quality problem will never be “solved,” no matter how much budget is allocated to fix system failures or how much will be done to take permanent action. In an ever-changing business environment, new data quality issues can arise at any time and come from unspecified sources.

However, marketers can use AI to combat data contamination , for example by tapping into greece whatsapp resource new sources; by forming teams dedicated to researching and implementing advanced quality control approaches; by adopting up-to-date, tested, and reliable monitoring and selection capabilities; and by spending more time observing the performance of AI models that are able to spot patterns of misclassification and errors, and by fine-tuning algorithms to better handle problematic situations as they emerge.

Create engagement, optimize the budget, exploit the potential of artificial intelligence, always respecting privacy and ensuring the protection of customers' personal data. For each of these key areas we have identified the digital marketing challenges that professionals in the sector will face in the coming months. To address the obstacles we have described, digital marketers will have to adapt technologies and methods to their specific business needs. In other words, they will have to master the solutions made available by MarTech . Among these, Doxee's interactive experience offers exceptional tools thanks to which to increase the efficiency and productivity of processes and improve the customer experience through hyper-personalized initiatives.