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The Customer Master and Data Governance

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.

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What’s next after Enterprise 4.0 ?

Without critical customer information, the systems that businesses would hope to leverage to unburden consumers from being stuck in the information age and in fact flourishing in the imagination age will never fully materialise. Personalization of interactions and engagement experiences are at the top of the list.

Businesses will need to maximize the network effects that could be achieved through platforms, and control databases that store customer and user data that can in turn drive more control and predictability over the market. Online publisher Tim O’Reilly believes that businesses need to “leverage customer self-service and algorithmic data to reach out to the entire web, to the edges and not just the centre, to the long tail and not just the head”.

A richer more personalized experience starts to become a reality fueled by consumer information. Systems that are able to describe the person will have the advantage. More particularly, systems that make use of ZPD (zero-party data), i.e. data that consumers have willingly and consensually offered up will be the systems that are the most valuable.

Learn how the Pretectum CMDM can help your business keep up with the increased importance of customer MDM with a SaaS software solution designed specifically to address the challenges of Customer Master Data Management.

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An automotive case study in meeting customer needs

Japan’s third-largest car manufacturer is Nissan and they are currently improving their operation practices as they aim for better sales output and of course brand awareness.

Nissan is considered an example of one a European car brand that is notable and successful. Founded in 1933 by Engineer Kenjiro Den, Nissan initially produced just motorcycle engines before branching out into automobile production in 1934.

For more than 80 years Nissan has built cars in Japan and in developing markets around Europe (and beyond) selling more than 4M units annually under the Nissan brand – including well-known models like the Nissan Leaf and Nissan X-Trail SUVs.

Nissan is also the owner of the premium Infiniti brand and the heritage brand Datsun which it discontinued on April 22. In addition to cars and trucks, it has in-house performance tuning products and cars labelled Nismo

It is a tough job, focusing on the environment, vehicle and product quality and customer loyalty. The approach has to be multi-pronged and is driven by data.

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The promise of MDM for Digital Transformation

Implementation of CMDM is transformative in the back office first, but then with the potential for a complete shift in the customer experience in relation to the potential for personalization and customized engagement but for this to happen, you have to be confident that your business is ready to embark upon such a journey.

MDM focuses principally on the management aspects of the customer with a respectful tip of the hat in relation to the duties performed by those trying to grow the business through marketing initiatives (CDP), the transactional systems (ERP, CRM, eCommerce, POS) and the reporting, analytics, forecasting and insights platforms.

Pretectum believes that where these other systems fall short, is either in the complexity of their implementation when focused on data management tasks, or their inability to unify the relationship over common data. We know this is a problem because even when these other systems are implemented with supposed master record management capabilities, they’re found to fall short of the varied expectations of the diverse teams that are expected to use them, or, in fact perhaps worse, access to them is constrained to a few, exclusively.

The Customer Master Data Management (CMDM) can operate in a number of different ways within any given business depending on the deployment approach. This approach is determined by the upstream or downstream influences and requirements of either business units, processes or technologies.

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Customer Master Data Management – what to expect

Defining the approach for Customer Master Data Management (MDM) for your organization means also understanding the boundaries of functionality. Define it right and you will have a goldmine of opportunities.

The term MDM has become progressively ambiguous over the years as vendors have branched out into areas of functionality that are not necessarily aligned with the optimal concept of master data management. This is just as true for the customer MDM as it is for the supplier, the employee and other master data elements.

Pretectum’s view is that IT should not own or manage the content of the MDM, they should care for the platform but the ownership of the data and the quality of the data should rest within the business and business users.

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Customer types, patterns and segments

Whether you’re in Product or Service management, Sales, or Marketing you know that having an understanding of the customer, analyzing, and keeping track of their behaviour is critical for the effectiveness of your business.

Customers make thousands of calculated and spur-of-the-moment decisions every waking hour of the day from deciding what they will eat to what they’ll wear. It is easy to think that the many ‘buy’ decisions, in particular, are made without too much thought, particularly the less significant ones.

Decoding the thought processes behind customer decisions is no mean feat, particularly if you don’t have the data to back up your hypotheses around why customers do certain things.

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Social Shopping and Social Commerce

Social shopping or S Commerce is a type of eCommerce that seeks to involve people with similar tastes in an online shopping experience. Sites like Pinterest claim to differentiate because on the one hand they offer the ability to pin items of interest but on the other hand they allow targeted marketing and click-through referral opportunities through image relationships. Arguably TikTok and Snapchat are also powerful channels for brands to launch their eCommerce campaigns. In fact, perhaps more than 50% of Snap’s business is in Direct Response advertising.

Many social shopping sites are similar in feel and design to social curation site Pinterest. E-commerce experts suggest this is not coincidental, that the approach is catering to a new generation of shoppers who enjoy and expect a “Facebook experience” where users like and share as part of their online life and are seen to do this.

Social shopping sites, like Kaboodle and ShopStyle, offer recommendations to members in the same way that you’ll see on Amazon Etsy and eBay.

The concept of Social Shopping makes presentations personal, by providing members with the ability to create personal boards, preferences and lists. For these sites, stickiness comes in the concept of community and the opportunity to engage in a dialogue with friends and peers. The goal is to build community by encouraging members to talk about products and preferences and make suggestions directly to their friends and social contacts as they might if they were shopping together in actual bricks and mortar stores.

Social commerce is that segment of eCommerce where sellers can actually sell and not just market their products directly through the social media platform, they can also browse goods catalogues and make those direct purchases.

Unlike the more limited, social media marketing, true social commerce gives the customer the option to perform a direct checkout and settlement.

Right now this is a $90Bn market, so what are the implications for customer data and your business?

Social commerce is a subset of eCommerce makes it easy to measure and evaluate the performance of your ad spend with the various platforms. The social media platforms have built-in eCommerce metrics for impressions, engagement and reach. you can see the number of clicks, the number of views and the level of engagement and perhaps even the response sentiment. All these capabilities come at a price which erodes your potential customer lifetime value. With the average consumer spending around $400 – $500 per annum on social commerce, there are the many costs that are loaded up by the platforms to consider, from the ad spend through the commerce fees and charge and pay commission.

In reality, social commerce is there for shoppers, not businesses. Since the entire process is focused on the particulars of the Social Media platform and if it includes checkout you lose website traffic and the opportunity to harvest some important customer characteristics.

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What do customers say when you’re not in the room?

In today’s fast-paced and highly competitive markets, successful brands have to be consistent in the way that they communicate with their audiences across all channels and also need to be consistent and superior in the customer and audience experience. This may be across many applications, many different types of interaction and through the message and communication of all personnel and mediums.

The only way to harness the power of that customer data is with a customer master data management platform that ensures that the data that you have is complete, comprehensive, accurate and relevant to the job you want to do. Further, you need to gather and maintain this data in a compliant and consented way. That data needs to also be secure but at the same time accessible to the business areas that need it—no mean feat in the current era of heightened concerns about privacy and corporate personal data abuse.

Pretectum has a scalable secure solution that at the same time offers flexibility and structure in a way that is attuned to the way your business prefers to work. We think of it as the Pretectum Advantage.

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Customer Service is driven by data

You might have heard or read about the concept of Net Promoter Scoring or NPS. At its heart, NPS, as a measure, is used to calculate the status of sentiment within a customer in relation to a product, service, brand, or experience. When looked at in aggregate it is the percentage of customers who are effectively pro or positively disposed toward that thing as opposed to against, or negatively disposed detractors of that good, service, brand, or experience.

If you recognize and acknowledge that surveys are a good way to get a sense of customer sentiment then it makes sense to go to the next step of attaching that sentiment to the customer master itself. This also can help guide service and support personnel in understanding that in some instances a particular customer has already indicated some sort of unhappiness and may need some specific special handling, Now that’s what we call customized or personalized customer interaction!

Using Pretectum APIs to manage and access the customer master, you can hook the survey results on a per-response basis right back into the customer master and surface elements like the date the last survey was undertaken the NPS, and any other data that you feel might be important. Ultimately the choice of what you store when you store it and the frequency with which you store it, is entirely up to you and the needs of your business.