Since I started working in tech, one goal that kept coming up was workflow automation. Whether automating a report or setting up retraining pipelines for machine learning models, the idea was always the same: do less manual work and get more consistent results. But automation isn’t just for analytics. RevOps teams want to streamline processes… Read more
Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at […]
AI has the power to transform industries by analyzing massive datasets and automating complex processes. However, AI’s effectiveness is directly tied to the integrity of the data fueling it. Data governance is required to drive accountability around privacy and ethics, while poor quality data results in inaccurate AI outcomes, leading to customer dissatisfaction, delayed decisions, […]
In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance. In the first blog post of […]
Data integration is critical for organizations of all sizes and industries—and one of the leading providers of data integration tools is Talend, which offers the flagship product Talend Studio. In 2023, Talend was acquired by Qlik, combining the two companies’ data integration and analytics tools under one roof. In January 2024, Talend discontinued Talend Open… Read more
Enterprise IT leaders are experiencing growing frustration with software vendors who wield excessive control over their technology roadmaps. From restrictive licensing agreements to forced upgrades and shifting support models, IT departments often find themselves at the mercy of vendors rather than in control of their own digital strategies. With so-called vendor lock-in on the rise, […]
For businesses everywhere, 2024 was a wake-up call – and not the gentle kind. Major data breaches and catastrophic outages made headlines, reminding us all that data backup isn’t a “nice-to-have” but rather a mission-critical strategy. Let’s recap the year: These high-profile failures weren’t just cautionary tales; they were full-blown cautionary sagas. The key takeaway? […]
The amount of data we deal with has increased rapidly (close to 50TB, even for a small company), whereas 75% of leaders don’t trust their data for business decision-making. Though these are two different stats, the common denominator playing a role could be data quality. With new data flowing from almost every direction, there must be a yardstick or […]
Data breaches are rising, with 44% of consumers reporting that they have experienced fraud, identity theft or financial loss due to breaches. Almost a fifth of consumers unfortunately take no extra data security precautions unless they have personally experienced direct financial harm. So it is up to businesses that hold customer data to take care of it. One measure, is offering two-factor or multifactor authentication on banking or ecommerce websites. After a breach, nearly three quarters of consumers lose trust in that business. Seventy percent say that they would consider taking their business or money elsewhere after a breach and 73% believe that the companies holding their data should be doing more to protect it. Pretectum CMDM can help. Visit www.pretectum.com to learn how we encrypt and secure customer master data profiles with data quality and consent.
Data policies serve as the guardrails for how organizations manage their most valuable asset: data. Just as communities establish guidelines for shared community spaces, data policies provide the framework for how teams access, utilize, and govern their collective and shared data resources. These policies aren’t merely bureaucratic exercises. They establish the rules of engagement for […]
Digital co-workers are no longer hypothetical. AI-driven agents (“Agentics”) are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream — they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle. […]
In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others. The eye-catching headline: “Data Governance is failing — here’s why.” The article sets out the results of a Force Field Analysis study carried out by the authors to try and understand why, […]
When I read about new technologies, I often think of the movie “Field of Dreams.” The protagonist builds a baseball field in the middle of a corn field because he hears a voice. “If you build it, they will come.” In the movie’s case, “they” are ghostly baseball players. For technology companies, “they” are businesses […]
If you haven’t already heard, a number of organizations have laid off their CDOs and CDO groups and data teams because of a perceived lack of significant or measurable business value. In addition, a recently released report from MIT Sloan delivers some very depressing numbers about the efficacy of CDO groupsi: The average tenure of […]
My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in isolation of other engineering skills, is a less-than-flattering job title. To practical engineers, data modeling conjures images of […]
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
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.
Organizations often assume they have data governance under control, but in reality, many are simply reacting to data chaos rather than actively managing it. This isn’t due to negligence or a lack of concern — rather, it’s because they don’t recognize that governance is already happening, albeit informally and inconsistently. Every day, employees make critical […]
The Death of the Data Silo Is Not the End of the Problem For years, we’ve heard that breaking down data silos is the holy grail of business transformation. We’ve been told that better pipelines, integrated analytics, and AI-driven decision-making will finally unlock the full potential of enterprise data. But here’s the question no one […]
Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. These issues slow analysis pipelines and demand time-consuming cleanup. Organizations now use machine learning-assisted data preparation to address these challenges, which automatically standardizes formats, detects anomalies, and applies business rules. Data […]
This column will expand on a Systems Thinking approach to Data Governance and focus on process control. The vendors of myriad governance tools focus on metadata, dictionaries, and quality metrics. Their marketing is a sea of buzzwords and bling — bells and whistles. Yet, where is the evidence of adding actual business value, defined as […]
The EDM Council’s Data Excellence Program has reached a significant milestone: its first anniversary. The program is proving to be a game-changer in the data management landscape for promoting commitment to best practices and data excellence at the organizational level. Designed to recognize and support organizations dedicated to elevating their data management capabilities, the program […]
The importance of Citizen Data Scientists has become a focus for the wise business executive and manager. Understanding Citizen Data Scientists and how they can supplement analytics and help the organization to be more successful can be a real competitive advantage for a business, whether that business is in a local market, a global industry, […]
Data steward forums are catalysts for organizational data wisdom and cultural transformation. When executed thoughtfully, they become your strongest asset in building a data-driven organization. However, their success hangs delicately on implementation — the difference between fostering lasting engagement and watching enthusiasm fade lies in the fundamental framework you establish from day one. 1. Building […]
In 2024, our research at Dresner Advisory Services revealed that only 32% of organizations have a formal data governance organization in place. This statistic highlights a critical gap, especially as machine learning (ML) and artificial intelligence (AI) are increasingly integrated into operations, expanding business reliance on data and analytic content. Despite the growing importance of […]
