The role of Real Time Customer Master data processing

A business that is able to process and utilize customer master data handling in real-time will find it brings great advantages for maintaining a competitive edge. Pretectum’s Customer Master Data Management (CMDM) platform is at the forefront of such capability, offering a robust platform that integrates, transforms, and utilizes customer data in real-time to enhance customer relationships and drive business success.

Integration and Centralization
One of the key benefits of Pretectum’s CMDM is its ability to integrate customer data from multiple sources across the organization. This centralization creates a single, unified view of each customer, often referred to as a “golden record” or “single customer view.” By consolidating data from various systems such as ERPs, CRMs, CDPs, and DMPs, businesses can ensure that all departments have access to the same accurate and up-to-date customer information. Such a unified view is essential for making informed decisions and delivering personalized customer experiences.

At the same time, Pretectum facilitates real-time data syndication, a process of distributing data to multiple channels or platforms simultaneously. Syndication ensures that customer data is consistently updated and available across all integrated systems, whether it’s a website, mobile app, or customer service platform. Consider a boutique retailer using Pretectum to securely integrate customer profile data automatically with customer loyalty program information in real-time, ensuring that customers can receive personalized offers and rewards based on their latest interactions using the best possible data without the associative risks of data leakage so commonly present when multiple applications are in use.

Foundations of CMDM in the wider organizational systems landscape
Data Assessment and Handling
The platform’s data transformation capabilities allow businesses to map and transform data into the required formats for different channels. This process is automated, ensuring that data is always consistent and accurate. When data is loaded into the system, it undergoes real-time transformation to align with the organization’s data standards, reducing the need for manual interventions and minimizing errors. Defined data schema with strong typing, lookup pick lists or defined patterns and masks mean that Pretectum CMDM supports robust data quality assessment that ensures data accuracy and completeness from the moment it is ingested.

The system performs real-time data validation, supports profile de-duplication efforts, and even data enrichment to maintain high-quality customer data. Such capabilities are particularly important during interactive data capture, where incorrect or incomplete information can be promptly identified and corrected. A customer can even update their contact information by themselves, the system validating this data in real-time to prevent errors and ensure that all subsequent interactions are based on accurate information.

Continue reading at
https://www.pretectum.com/the-role-of-real-time-customer-master-data-processing/

6 Reasons to Rethink Your Use of CRM for Customer MDM #Loyaltyisupforgrabs #CRM

6 Reasons to Rethink Your Use of CRM for Customer MDM
1. Data Quality Issues
CRM systems often lack sophisticated data matching capabilities, leading to duplicate records and inconsistent customer information. Without robust data validation and deduplication features, CRMs can accumulate low-quality data over time, creating "technical debt" that impacts business processes.

2. Limited Data Governance
CRMs typically lack robust data governance features needed to ensure compliance with regulations and maintain strict control over data access and modifications. This makes it challenging to implement proper data stewardship practices.

3. Integration Challenges
CRM systems can become data silos, making it difficult to integrate customer data with other enterprise systems. This limits the ability to create a unified view of customer data across the organization.

4. Scalability Problems
As customer databases grow, CRMs may not scale effectively to handle large volumes of complex data. This can lead to performance issues and increased risk of data errors.

5. Limited Flexibility for Complex Data
CRMs are not designed to handle the complexities of detailed customer hierarchies. They lack the flexibility needed to manage and relate various data entities in sophisticated ways.

6. Inefficient for Non-CRM Data
Using CRM for MDM creates additional work for teams who must manually input or update information that doesn’t naturally belong in a CRM system. This leads to inefficiencies and takes focus away from core sales and service activities.

While CRMs excel at managing customer interactions, they fall short as comprehensive MDM solutions. Organizations should consider dedicated MDM platforms that offer robust data quality management, governance, integration capabilities, and scalability to effectively manage customer master data across the enterprise.

Visit www.pretectum.com to learn more