With the launch of our first ever gender pay gap report, we ask female staff at CDPS to share how they feel on International Women’s Day.
The post CDPS embraces equity for International Women’s Day appeared first on Centre for Digital Public Services.
This year’s International Women’s Day theme is about embracing equity, but what is the difference between equality and equity and why is it important? Equality is giving individuals and groups the same resources or opportunities but for a truly inclusive world we need equity. Equity recognises that each person has different circumstances and allocates the…
Depending on the nature of your business and the relationship that you have with your customers you may have several different types of customer master data that you choose to manage and maintain. There are other types of customer data that you may need to manage too, data types that you don’t necessarily always think of as master data but which may benefit from being stored and retrieved centrally as required.
Pretectum’s CMDM is able to support you in leveraging all of these different ways of deciding what to store and what the criteria are around the values that you might store, qualitative, quantitative, declared or inferred. All types of data are supported in a highly configurable way according to your specific business needs.
If you’re wondering whether you can achieve a particular outcome in your use of the Pretectum master data management system to improve sales, support a particular initiative or simply provide your customers with a great personalized customer experience, reach out to us and we’ll tell you what you need to know about how the system can help.
Customer data plays a crucial role in customer relationship management as it provides valuable insights into customer behavior, preferences, and interactions with your organization.
Having accurate and up-to-date customer data can help your organization better understand consumers and provide personalized experiences that foster loyalty and improve satisfaction and confidence in your products or services.
Harvard Business Review contributor and business expert Barbara Bund Jackson has found this is very valuable through her research.
Customer Master Data Management (CMDM) is a process and technology used by organizations to ensure that customer data is accurate, consistent, and up-to-date across all systems and applications.
CMDM aims to provide a single source of truth for customer information by creating a centralized repository of customer data and managing the quality, governance, and integration of this data across the enterprise.
Customer Master Data Management helps organizations to improve customer experience, reduce data duplication and errors, enhance data security and privacy, and support informed business decisions by providing a comprehensive view of customer information.
I’ve written a book about networking, a process where (well, up until recently) you primarily went out and met people face-to-face, often at business networking events. As a result, you’d probably think I’m some outgoing and extroverted guy, who lives for networking! …But I’m really not. In fact, while I wouldn’t exactly call myself introverted,…
Putting a price on data is a tough task to perform if your business is not “in the business” of selling data. The real question though, is does your organization recognize its arguably most valuable data asset – customer master data, as a valuable resource? The true value of that data more than likely hides in how you use it.
Customer data holds enormous economic potential if managed well and appropriately leveraged. The challenge though is that many companies struggle with proper handling and syndication of their data. Further, they don’t think about their customer data strategically. They don’t take what they have and convert the data that is in hand, into actionable information. Worse, they may not be managing their customer data in any meaningful way, they may have data all over the place in systems, spreadsheets and even email.
By implementing some data management best practices around customer data, these same businesses could be thinking more strategically especially if they are ensuring that their data is accurate and aligned with their business objectives.
Customer data management (CDM) is one of the most important aspects of customer experience management. It helps companies get to know their customers, understand their preferences and needs, and deliver personalized services and experiences that keep customers happy and loyal. A key element of CDM is data quality.
Data quality refers to how accurately your company’s information about its customers reflects reality. If you don’t have good-quality customer data, your efforts will be wasted on inaccurate information about those customers—including ones who can’t be found when they need help with a problem or question!
Is it time to get phygital?
The rise of the phygital customer
The customer journey is now a hybrid one. The experience for the customer is now hybrid too. The way customers interact with brands and products has changed, but to what extent? For many companies, there simply isn’t enough bandwidth to figure out whether they should invest in a wholly physical or digital strategy. Perhaps it isn’t necessarily a choice between these, but more of a phygital strategy that is required.
So here’s the question: when it comes to building your brand and creating experiences for your customers, do you need to be thinking about how you can create an experience that combines the best of both worlds (the physical and the digital)?
Customer master data management (CMDM) and customer data governance are co-dependent disciplines. Successful CMDM is not possible with at least a few key data governance elements.
While the CMDM may be understood as principally the technology, the actual data governance is the people, processes and technology.
With Pretectum’s CMDM we feel that the three are inextricably linked and so do not see it as being possible to pick up a solution like CMDM without data governance.
The reverse may be true. You may have data governance without master data management but then the effectiveness of your data governance policies and procedures have to be called into question.
