Data from Multiple Sources
Gathering and combining data from multiple sources is perhaps the biggest challenge marketers face when creating a SCV. Siloed data from disparate sources such as CRM systems, web analytics, and marketing automation tools needs to be cleansed, de-duplicated, and unified into one cohesive view, in order for marketers to activate it effectively.
Constant Changes in Customer Data
Creating a single customer view is also difficult because customer data is always changing and evolving. This is where Customer Data Platforms (CDPs) and Customer Engagement Platforms (CEPs) play a critical role in automating the process of continually monitoring and updating the Single Customer View in order to ensure accuracy.
Regulations such as GDPR
Regulations such as GDPR necessitate that marketers take extra steps to ensure that customer data is being handled responsibly. This adds yet another layer of complexity when it comes to assembling a comprehensive Single Customer View.
Incompatible Formats or Systems
Technical issues can further complicate the process of creating an accurate Single Customer View – if different formats or systems are incompatible with one another, it may not be possible for marketers to effectively aggregate all necessary information into one source of truth.
Poor Data Quality
Finally, poor data quality can be an issue. Marketers need access to high-quality data in order to create an accurate SCV and should strive for constant improvement in the area of data collection, storage, and analysis.