Customers are the heart and soul of businesses. Enterprises attempting to grow are in the constant quest for ways to widen their customer reach. Regular marketing strategies, that were once used to expand the customer base, fail to have a powerful impact now. In order to attract more customers and stay ahead of the curve, you need to gather clean quantitative and qualitative information from customers, particularly if you provide services to millennial generation.
Data collection is one popular method that enterprises use to gain more relevant information about their audience in detail. By evaluating customer needs and requirements, companies can target their audience easily. In other words, the data gathered from customers can be used to analyze demographics in toto –one gets to know what their target customers are interested in, what are their requirements and concerns, and more.
When the data gathered is comprehended properly, it’s easier to understand buyer’s personas, and hence targeting them becomes a walk in a park. One method that allows companies employ data to increase customer reach is data mapping. In this blog post, you’ll find how data mapping can prove tremendously useful to maximize outcomes and drive the pace of business.
Data mapping is a technique of unifying and transforming data collected from myriad external as well as internal sources into a format suitable for operational and analytical processes. It does so by matching source data fields with target data fields.
Data mapping is an integral part of data management process that involves a process of organizing various types of data and converts into a manageable and easy-to-understand system. For example, data mapping tools can identify different phone numbers of customers (present in many formats), recognize them for what they are, and store them in the same destination field rather than having them drift around by other names. Hence, one can organize various types of data easily and enable simplified usage. Data mapping solutions allow businesses analyze audience’s behaviour, their commonalities, and identify discrepancies if any. Companies can make use of this important information to make better decisions.
Now, that you are aware of the benefits of data mapping, you must make sure that you’ve chosen the right tool for your business as the regular ones have several limitations. Artificial intelligence can help organizations overcome these limitations and improve the integrity of results by leaps and bounds. Artificial intelligence-powered mapping prove useful to deliver better outcomes. Let us find how.
Artificial intelligence techniques improve the ability to deliver predictions by recognizing data mapping patterns based on knowledge already gained. It uses an algorithm to recognize data patterns or data regularities in a given scenario. As a result, the quality of data mapping increases.
In the example mentioned above, artificial intelligence can be used to identify phone numbers and assign them to a particular category, which, in turn, helps companies carry out processes with ease. So, artificial intelligence not only maps data sources to target fields with higher accuracy but also maintains data integrity. Plus, it makes the process faster.
So, if you want to increase the accuracy of data mapping and maintain data integrity, you must employ an AI-powered data mapping tool.