The answer is yes! Data analytics provides real-time situational awareness and customer experience monitoring. When problems around quality service emerge, they move through the customer experience at a large scale quickly and definitively. With the power of end-to-end traceability of parts through the supply chain, in and out of global warehouses and customer sites, businesses can utilize vast amounts of historical and real-time service parts data to ensure this doesn’t happen.
Furthermore, predictive analytics can be leveraged to improve the daily operations of large product volumes. With real-time and historical data on customer purchases, future sales can be predicted quite accurately. Predictive analytics also narrows and personalizes products focused on the customers’ needs. It helps detect risk and provides insight into new product categories.
While we’re discussing data, it’s important to note that not all data is relevant. Data hygiene practices need to be in place to get only relevant insights. This will involve purging all bad data from the CRM, automating data cleansing and removing duplicate records, and integrating data across departments to create a single, unified view of customers.
Data analytics can analyze all available customer data, including objectives and important life events, to provide customers with a highly personalized journey. With complete customer journey maps and customer tracking capabilities, businesses can ensure customers are always being guided along the path to better experiences and personalized interactions.