Foundations to Customer Master Data Management (CMDM)

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Like any approach to supporting or improving business functions, Customer MDM has a number of critical aspects that need to be considered. Here are some critical aspects that Pretectum feels should drive your thinking and adoption of CMDM.

A Vision of Master Data Management

Consider the circumstances of your organization and what it is exactly that has placed you in a position where you think a more disciplined approach to customer master data management is required to support your vision. Are you struggling with data quality issues, has your organization outgrown spreadsheets, and are you encountering data-driven problems that give customers a less than ideal experience? Not down what you think an MDM tool or the customer master will yield to your business and lay those out as the broad goals for the program.

Your Strategy for MDM implementation

You’ll need to work out what you will need to implement or change to support your vision. Sometimes this is going to come down to business processes and policies, but it may also involve people and systems. It would be somewhat unrealistic to think that you could layer in a whole new raft of organizational thinking around the customer master by simply continuing to do what you do today without some sort of change. You may even need to bring in consultants or experts in customer data management to help guide your direction.

An MDM Framework

You’ll recognise that any reasonably well-managed program is made up of three fundamentals attributes, people, process and technology. This could have varying degrees of investment but determining whether you want to have the program-driven more by one attribute than another is going to be part of the definition of your data management framework which in turn will influence your adoption strategy. As such you’ll want to work out which parts of the overall framework are most important and line those up as your business rules, data collection, distribution and curation processes, and the definitions of people and function roles all while retaining data privacy and legal data compliance.

Recognising that People create and use data

It’s easy to think that systems drive themselves, but the reality is that it is people who create, edit and use data and customer master data in particular. For an MDM program to be effective, you need to define the roles and responsibilities of the users of your systems to ensure that they are sufficiently knowledgeable and aware of the overall vision for MDM, the way it will be implemented and maintained and the framework of definition that provides guardrails for the program. You’ll need to consider how the program will change their existing roles and functions and whether they have the necessary skills to be most effective in the program.

The power of Process

Within any MDM program, there is a broad range of master data management processes. These will be a combination of existing work practices and potentially new ones that will be defined and imposed as a result of the adoption of a data management framework. These will include but are not limited to business rule management, data classification, collection, access control, quality management, enrichment, mapping, matching, standardization, normalization, distribution and reporting.

Technology is not MDM but it can help

It’s confusing when the names attributed to technologies, suggest that they are that thing that you are in pursuit of. The fact is, that no technology will solve your defined business problems without the support of the greater aspects of the program. With customer master data management, Pretectum recognises that you could implement the technology in isolation of business changes but that the effectiveness of the technology on the overall goals and intent of the program will be understated or fall short of the objectives that you have in mind and your processes will likely be hindered by the lack of rigour you might need. You can escape an ambitious implementation by starting with the softer parts of the program but as you come to be more familiar with the needs and expectations of the program you may well find that implementing tools is unavoidable. The Pretectum platform supports your ability to improve your customer data management program irrespective of which stage you are at by allowing you to adopt the platform at any point.

Measure what matters

Any program implemented, whether it be around master data management, customer retention, customer acquisition or sales and marketing needs to have some goal definition and ways of measuring progress towards those goals. You should start your program with a baseline of assessment and pick the aspects of that baseline that are most critical to focus on in terms of assessing the effectiveness of the program. A good data management baseline measure might be the overall completeness of customer master data, another might be the overall quality of the master data and a more ambitious one might be the level of duplication that you have in your customer master data. Each of these measures needs to be defined and examined in the context of the changes that you plan to implement to move the needle in relation to those measures. In the end, whatever you measure needs to tie back to your vision and support it.

Contact Pretectum to learn more about how Pretectum’s CMDM can be of benefit to your customer master data management program initiative

Does Life Imitate Art or does Art Imitate Life?

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If you’re the kind of person who browses social media, visits markets, museums and galleries then the chances are, that you will come across things that have been created as a tribute, copy or parody of real things in life.

It could be a meme, it could be a photo, a cartoon, an animated image, a short video clip, a painting, sculpture or even a T-shirt print.

When you consider what art is, it is “the expression or application of human creative skill and imagination, typically in a visual form such as painting or sculpture, producing works to be appreciated primarily for their beauty or emotional power.” That’s the Oxford Languages dictionary definition at least.

In much the same way that these creative works emulate aspects of reality or flights of fantasy, many, often come down to a re-representation of something factual or known. Precision is often not required and the “artistic license” may be applied in such a way that in fact only the vaguest allusion to reality is represented.

We can’t do that with data though, or at least not the data that we would hope to use in forging strong relationships with customers. Accordingly, we need a little more structure, a little more definition and a better framing of the representation of the customer, such that we are in fact imitating as much about the customer as we can, in a meta-way.

The Art of Data

In the world of Customer Master Data Management (CMDM) we can best achieve that by defining the characteristics that we believe matter, in relation to describing customers.

Click on the image for a better view of the platform
Defining the Customer Schema in Pretectum – Click on the image for a better view of the platform

Once we have that definition, we’re in a much better position to provide detailed and summarized interpretations and representations of the customer entity, such that we can work out how well or how poorly our data management program is functioning and also to build summarized and detailed data analytics stories about customers, customer journeys and customer experiences.

In some respects you could say, that the ability to appropriately represent what we know about our customers to be ‘artful’ in servicing their individual and collective needs, is absolutely tied to our correct imitation of who, what and how customers are, in our various systems of record and reporting systems. Failure to create a good quality digital twin or digital simulation of the customers will ultimately detract from our ability to serve the market and the individual adequately.

No matter the industry segment that your business functions in, the ability to Know your Customers (KYC) and understand their needs, wants, preferences and tastes, puts your business in a much stronger position in sharp contrast with your competitors.

Customers want personalized, intimate engagement, particularly for high value purchases, they also want friendly, frequent and convenient communication on their own terms; that means that you need to know who they are, know what they like and afford them the courtesy of indicating their preferences.

About Pretectum

Although the Pretectum platform is focused purely on Customer MDM, it affords your business the ability to define any number of critical key traits that your business might care to digitally imitate, about your customers. This means that if your model of engagement is highly personalized, with high touch and direct engagement by your associates, you need to empower those associates with as much suitable information as possible in order to service those customers optimally.

The Pretectum CMDM platform allows you to define those essential customer characteristics and more. Further, the platform allows you to layer in Customer Master Data Governance (MDG) in a variety of different ways according to the approach that makes the most sense for your business.

Contact us today to learn more.

Data Integration Matters

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Considering Data Integration Best Practices

Data integration is the process of retrieving and combining heterogeneous data from different source systems.

The primary goal of data integration is to combine data from a variety of sources in a way that can produce meaningful and valuable information for business reporting and data analysis needs.

Nowadays, data integration involves much more than retrieving and combining processes โ€“ it brings together a wide range of tools, techniques, and methods supporting real-time integration.

Today powerful data integration tools can easily transform unstructured data and of course work with data, and deliver it to any system including pushing and pulling data from the Pretectum CMDM for Customer Master Data Management.

For integration to be effective there are some important aspects to keep in mind.

Keeping integration front and center as a strategy for connecting disparate sources and systems.

Use contemporary APIs and integration methods whenever possible that use contemporary technology that is often more secure and more robust.

Pretectum Approaches to Customer MDM
Pretectum supports the four main approaches to Customer MDM – CoExistent, Centralized, Consolidated, and registry

Leverage integration to remove organizational silos that are often associated with data and systems, this is particularly important if you have a cross-functional need for specific data to be consistent.

Make use of an integration “standards” based approach to evaluating which and what sources to connect to one another

Start small and then move to more ambitious and more elaborate integrations once your initial tests and experiments prove fruitful, successful, reliable, and valuable.

Don’t assume that integration will resolve organizational issues, integration may help with the systems and data but change management often needs bigger effort and investment to make the most benefit to the organization

Keeping your eye on the ball of the final goal will guide your intentions and thinking around what you can afford and what you need to focus on. Focus on what matters.

Small possibly insignificant and seemingly trivial items may yield a far greater reward in terms of integration than you may have initially thought.

To learn more about how Pretectum can be used as a hub for your customer master data and syndicate the customer to other systems, contact us for details.