How financial marketers can best interact with data

You don’t need to be an expert at artificial intelligence (AI) or machine learning to use data analytics effectively. In fact, the most sophisticated form of machine learning is the one that resides between our ears. Given that humanity is expected to produce 40 zettabytes (a zettabyte is a 1 followed by 21 zeros), this is good news for financial marketers as they try to navigate the more than 7,000 different marketing data tools available. Basically, it’s more important that financial marketers avoid drowning in a sea of data and analytics and learn to become a chief questions officer who works with data specialists to get the right data and use data analytics effectively.