What’s next after Enterprise 4.0

boy wearing a black and white virtual reality goggles

By Clinton Jones CITP

Most of us will have heard of the Industrial Revolution. However, some readers may not realise that the Industrial Revolution talked about in school commonly references what is widely considered the “First Industrial Revolution”.

The first Industrial Revolution was signified by the introduction of machines to replace handmade production methods. The 1st was also fueled by steam power and water power. In the west, the era spans colonial America all the way through the ascent of Queen Victoria to the British throne. It most affected western economies, textile and clothing manufacturing, shipping, transportation, mining and metalwork industries, agricultural methods, and societal culture.

Fast forward two hundred and fifty years and we are described as being in the fourth industrial revolution (4IR), or as some term it “Industry 4.0”. In parallel, we can also think of Enterprise 4.0.

Per a Wikipedia definition, this revolution is defined by a number of technological developments in virtual reality and augmented reality facilitated by high-speed data exchanges. In addition, new human-machine interaction modes are more commonplace such as touch interfaces and gesture-based interfaces that use camera and audio technology, robotics and 3D printing.

The core trend in commerce and industry is automation and data exchange across both manufacturing technologies and process technologies. These include the proverbial Internet of Things (IoT), cyber-physical systems (CPS) more commonly understood as Virtual Reality (VR) and Augmented Reality (AR), moving workloads to “the cloud” via cloud computing, cognitive computing, and artificial intelligence (AI).

It is more generally acknowledged that computing technologies still struggle to replace the deep domain expertise but computer technologies don’t forget and so, can often be more efficient in performing repetitive functions. When this robust performance of repetitive tasks is combined with machine learning and appropriate computing power, some very complex tasks can be accomplished. We can already see this tremendous potential in the very devices that inhabit our pockets and purses.

The Fourth Industrial Revolution is thus viewed by some as signifying the early beginning of what some consider an “imagination age”, a period beyond the Information Age where creativity and imagination become the primary creators of economic value.

W. Michael Cox and Richard Alm described this at some length in the 2017 Annual Report of the William J. O’Neil Center for Global Markets and Freedom, SMU Cox School of Business. Cox and Alm went so far as to describe it as “America’s Fourth Wave of Economic Progress” with most of the Age’s employment being services related. “Americans won’t be going back to the farms and factories in any significant numbers.”

The implications for customer and consumer data

While we may be a way off from an era where we no longer need to carry the devices we have today. Battery and data-hungry devices like mobile phones help us to stay connected and engage with one another. But, it is conceivable that such a technological shift that supports us regaining our humanity and discarding these devices in their current form is not too many years far away. What this might look like, is already visible in the futuristic ideas of cinema and television.

Kevin Parikh, Chairman and CEO of Avasant in a presentation at OWS21 describes modern-day society as being in a current era of “digital singularity”. He concludes this based on a convergence of ubiquitous personal technologies and the overall human experience. We can likely all attest to this being probably mostly true. We stayed connected with colleagues, friends and family through Zoom, Whatsapp, Facebook Messenger and Facetime during periods of pandemic isolation. We’ve stayed away from the office and continued to interact with colleagues using these same methods.

Working remotely and in some cases becoming what some would call “digital nomads” doesn’t seem particularly exotic today but it was novel and interesting a quarter of a century ago as I promoted it through a teleworker and telecottage association.

Developing an optimal consumer customer experience in this present-day singularity requires a deeper understanding of the consumer, something that can only be reasonably achieved through consumer consent and consumer buy-in to the idea that you might use their information for only good objectives. After all, personal information in the U.S. alone is a multibillion-dollar-a-year industry per Sarah Myers West in her research article Data Capitalism: Redefining the Logics of Surveillance and Privacy.

This is something that we are already seeing as essential as regional interest groups and authorities crack down on the previously unbridled use and abuse of personally identifiable data stitched together often through inferences based on common devices and behavioural patterns accompanied by unique consumer identifiers.

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.

Measuring and resolving for what is important

adult attractive beautiful blur

Duplicate data might seem harmless at first, but it can create extreme difficulties in the long run. Such as a database’s failure to provide a single customer view. This in turn makes it challenging for the sales and marketing team to use it in mundane tasks like marketing automation and campaign building.

When put into monetary terms, duplicate records cost money, not only in terms of storage but also in terms of wasted effort and energy in decluttering the duplicates from the system. All of this can take you months, there is also the subtle cost of confidence and faith in the data. Systems riddle with duplicates leave data users worried about the correctness of their decisions and completeness of their work.

Duplicate customer data is also much more prevalent in systems of record, than companies often realize. An average duplicate rate in a database could be as high as 20%-30% in some industries.

By neglecting customer data quality and duplicates in particular, you are compromising the overall health of your business record-keeping. When you don’t have the right information about your customers, there’s also no way you can be confident that you are targeting the right people with precisely the right offer. A natural consequence is that you’re also likely to be providing poor customer service. The latter will in turn negatively impact your brand reputation and waste precious marketing resources and effort.

Different types of Duplicate data

Duplicate data are not necessarily just copies of the original record; there are various types of duplicate data that might be present in your systems.

  • Exact copies in the same resource– Often, records from one data source are transferred to another without any duplicate checks. For example, when organizations transfer customer data from CRM to their CDP, even when the subscribers’ data is already stored, they could create duplicate customer records of the same entity.
  • Exact copies on multiple sources- This happens when companies do back-ups of their information and store copies they have in hand without performing any data cleansing process and duplicate identification.
  • Not-exact duplicate on multiple or same sources- A non-exact duplicate is when the original data is represented in various ways, which may or may not mean the same thing. For instance, John Dona Ruth can be defined as John D Ruth and JD Ruth; both aren’t wrong but can create different representations which in aggregate present as duplicates.

How to remove duplicate customer records?

Here are some best practices to identify and remove duplicate data from your customer master

●     Use validation checks on data entry.

Adopting strict data checks on all data entry points will help ensure that the input data is unique and meet all data quality standards. In addition, such configuration should identify that the incoming data is duplicated and filter out its copies still present in the database. This will make your data valid, complete, and accurate in the longer run.

●     Use automated duplicate checker tool

The latest self-service data duplication software helps businesses identify and clean duplicate data. These applications are dedicated to finding all exact and non-exact matches to standardize the data quality. Using such an automated system scraps out the need for human help and saves your business thousands of dollars. When choosing a duplicate checker tool, make sure you can easily import data from various sources like CRM databases, excel sheets, lists, etc.

●     Use data-specific duplicate checking technique

Identifying duplicate data is complex; marketers should be cautious while deducing data because one piece of information can mean different things at different sources. For instance, finding two matching email sources might mean that both entries belong to the same person. However, entries with two same addresses will not follow this theory because two individuals from the same building can have two separate subscriptions of your product. So, make sure your data purging activity is in accordance with your database.

Duplicate data can blur the customer view for your company and make it difficult to conduct any marketing operation; such a database only drains your resources. If not handled properly, it can lead to many missed sales opportunities and lost income.

Prevention is better than Cure

The Pretectum approach to duplicate record avoidance, identification and remediation factors in several important aspects of the Customer Master Data Management process. The first of these is recognizing that duplicate records are not always possible to avoid.

One of the reasons duplicates may exist is that they might be the legacy nature of some of the systems in use. When this is the case, the next best alternative is to retain the duplicates but provide an external key that can group the records that refer to the same customer across different sources. This approach is supported by the platform.

A second approach is the preferred approach, it is preventative which has the Pretectum platform as the de facto authority on who the customer is and is used for origination and as the hub supporting syndication and synchronization with other systems in the landscape.

Contact us today to find out how you can improve your current system landscape

RJ

Does your organization understand customer master data management?

brain inscription on cardboard box under flying paper pieces

Customer master data management is essential to organizations that are serious about their relationship with their customers. At the core of customer, master data management is some level of assurance on the integrity of the customer master. Many may think they understand the importance of customer master data but don’t understand the wider implications of poor customer master data management for organizational groups and individuals outside of specific teams or in fact the implications of problematic customer master data for the customer.

One of the first problems to be aware of is the potential presence of different versions of the customer master data truth in different systems and places across the organization. This in turn leads to confusion and conflict.

The customer master data management practice introduces roles, responsibilities, and controls but can only enforce them through either auditing and reporting on data management behaviours or by implementing a set of tools or a Customer Master Data Management system (CMDM).

A CMDM helps avoid many of the problems associated with multiple isolated silos of customer data by providing a single source of truth for all systems and all people across the organization. This in turn reduces confusion and conflict and can also be helpful in the improvement of the decision-making process around any single customer or group of customers with common characteristics.

Of course, it also goes without saying, that converging on a single source of truth regarding the customer master also moves an organization closer to eliminating duplicate customer records and improves the overall quality of the customer master. Correction of mistakes made early on in the customer master becomes incrementally more expensive to resolve the longer the records are held unchecked.

it is estimated that 27% of revenue is wasted on inaccurate or incomplete customer and prospect data

The Drum

It should be self-evident then, that customer master data management is essential for any organization that wants to maintain and grow its customer base and enjoy long-term success in the market.

Consider the following benefits that are typically associated with implementing CMDM and improving your overall customer master data management practice.

Accurate customer data is critical to differentiating your organization from your competitors and supports giving customers a better chance of a personalized experience. A central CMDM provides high quality customer data to all systems and people that need it.
Customer data management helps organizations maintain a single view of all customer data that is important in the sales, service, support and accounting functions and synchronizes the information across those systems needing it to provide a more personalized and customized experience for the customer.
The Pretectum CMDM creates a reliable view of the customer that in turn drives more efficient business operations through the presence of a single customer master data asset. This provides associates with a single authority on the details of the customer. Silos then rely on and refer to this single source.
Organizations need to rely on high quality data for quality decision making. Poor quality data often leads to negative customer relations, potential churn and loss of repeat sales. Bad customer data including duplicates, also impairs effective business decision making and forecasting.
With the Pretectum CMDM, you can choose the CMDM implementation approach that suits your organization’s maturity but at the same time introduces transparency and visibility into the customer master data creation and management practices across your organization.

From a purely cross-functional and operational perspective, any improvement in convergence on a single version of the truth about your customer master data has everyone from the CEO to front-line employees making better informed and potentially more consistent decisions because they are all working off the same accurate information.

The centralized Pretectum CMDM means you will start to avoid or at the very least know more about the reasons you have duplicate records or siloed information. This in turn leads to increased operational efficiency and productivity across your organization.

If you don’t think you need this…

Consider some additional perspectives if you don’t think you need a CMDM.

Are you experiencing high customer churn rates or sagging sales but can’t work out the reason why? In some instances, this is due to the fact that those churns or sags, are in fact duplicate accounts for your active customers.

Do you have challenges finding the most authoritative perspective on your customer master? This is often attributed to multiple silos of customer data with specific purposes and objectives associated with each of them. Your warranty and service system for example may be completely unconnected to the marketing, sales, and billing systems. A CMDM can create a joined-up view for all of them.

Do you have duplicate customer records, do you even know if there are duplicates? Many systems like CDP, CRM, and ERP use very basic ways to avoid duplicate record entry but often the limited criteria that they use for allowing duplicates are so limiting that duplicate record blocking get disabled by default. The Pretectum CMDM allows duplicates but goes a step further by keeping you informed about new duplicates and existing ones and providing you with ways to eliminate or manage them.

If you think you might want to evaluate the potential for the Pretectum CMDM for your organization, consider an evaluation of the approaches that are supported, in the context of your organization’s master data management maturity. Contact us today to learn more