The Power of Customer Data Management: Purina’s My Pup Portal and Beyond The pet food industry is highly competitive, pressures comes from a number of areas. Regulations and safety concerns such as adverse event reports and FDA investigations, can erode consumer trust and lead to regulatory actions. Supply chain disruptions and labor shortages can impact…
Customer Master Data Management (CMDM) is an essential practice, and sometimes a technical solution for a good many organizations. In its adoption, many would seek to optimize customer data, and particularly consumer data across the many platforms and departments that they have. Pretectum’s CMDM platform exemplifies a solution that aligns well with many of the…
Customer Master Data Management (CMDM) as a service represents a contemporary approach to data management that enables organizations to streamline and centralize their customer data across various platforms and departments. Such a service is particularly needed in today’s data-driven businesses, where the ability to access accurate, consistent, and up-to-date customer information is essential for delivering…
The concept of the dataome refers to the vast array of non-genetic information that humans generate and carry, both internally and externally.
This includes everything from digital data to cultural artifacts, and it plays a crucial role in shaping our identity and interactions. This includes commercial, social, economic, medical, educational, and civic profiles. Understanding how this data is managed is crucial for us both as consumers and for the organizations that might consider leveraging that data to forge long lasting mutually-beneficial relationships. #LoyaltyIsUpForGrabs
In 2023, data breaches surged significantly, with a 20% increase from the previous year, compromising over 5 billion records. This rise is largely attributed to cloud misconfigurations, which account for over 80% of breaches, and the growing prevalence of ransomware attacks, which intensified by 50% in the first half of the year. The average ransom…
The separation of patient profile data from clinical trial data in clinical data management systems (CDMS) is essential for maintaining data privacy, regulatory compliance, and facilitating independent analysis of patient information. This approach aligns with the Health Insurance Portability and Accountability Act (HIPAA) principles, particularly the “minimum necessary” access to protected health information (PHI). Vital…
Pretectum’s Customer Master Data Management (CMDM) system is a comprehensive solution designed to centralize and standardize customer data across various organizational departments and systems. This approach enables businesses to maintain a Single Customer View (SCV), which is critical for informed decision-making and enhancing customer interactions. Overview Pretectum CMDM acts as a SaaS-based centralized repository for…
Amazon Web Services (AWS) launched in 2006 and has been recognized as a pioneer in the cloud space, providing a robust platform that has fundamentally transformed how organizations deliver products and services to their customers.
The cloud market continues to mature and AWS’s dominance is being increasingly challenged by formidable competitors such as Microsoft Azure and Google Cloud as well as more stealthy competitors in Asia.
For many, the monthly AWS bill is a thorny subject only moderately addressed through the combination of reservations, prepayments, and on-demand systems use.
Many organizations still cling to on-premise infrastructure or have spread their risk across multiple cloud vendors
Customer Master Data Management (CMDM) and Identity Provisioning are fundamentally different concepts, each serving distinct purposes within an organization. CMDM focuses on creating and maintaining a single, accurate view of an organization’s critical customer data asset. CMDM consolidates data from various sources to eliminate silos, ensuring that all departments work with the same information. It…
As organizations grow, customer data often becomes fragmented across the many systems in use (e.g., CDP, ERP, CRM etc). Such fragmentation leads to multiple versions of customer information, making it difficult to obtain a unified view. Different applications may also store unique customer attributes, leading to inconsistencies in customer records or conflicts at various stages…
