Many claim that understanding the customer journey is the most important aspect of customer data management, or hosting a secure data network is key. Others claim that the sales team should retrieve full accessibility to information. You need to properly handle data management, know what it is you should be collecting, and know how to keep it safe so you can use it to keep track of customers and prospects, as well as measure sales and marketing efforts. Customer records created with missing zip codes or wrong address information often leads to customer communication breakdowns. Address validation software can be used in conjunction with the in-house ERP or CRM system to capture the correct addresses. Customer data is constantly in a flux, which is the number one reason to employ data monitoring principles. You may want to use specific notification techniques to maintain overall data quality, and also establish specific security policies that keep data organized and on point. Simplify access to traditional and emerging data. More data generally means better predictors, so bigger really is better when it comes to how much data your business analysts and data scientists can get their hands on. With access to more data, it's easier to quickly determine which data will best predict an outcome. With so much data and so many disparate data sources, it is very easy to get lost in translation. So, a mental road map on the overall objective will help in keeping the effort streamlined. 5 customer data management best practices for 2019 is all about solving business issues by effective management of master data that is critical to business operations. Data Management should be driven by business needs for otherwise it will be turn out to be another isolated master data mart. Customer Data Management leaders were divided when it came to metrics, the study found. Approximately half measured data effectiveness, including accuracy rates, role-based access statistics, and data retrieval speeds.