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What’s next after Enterprise 4.0

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.

How to Think as a Business Data Scientist


Our guest today is Ashish Patel, Chief Data Scientist at IBM. He’ll share his story, how to get into the field and best practices to follow as a business data scientist. He’ll also tell us why the agile methodology is not the best to use for ML/AI projects, what are the important things to follow […]

The post How to Think as a Business Data Scientist appeared first on LightsOnData.


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Author: George Firican

How to Become a Data-Driven Organization


A data-driven organization recognizes the importance of collecting raw data and understands that it shouldn’t make business decisions using raw data alone. Instead, they collect, analyze and derive insights from data to address business problems, identify new growth opportunities, and drive profitability. In essence, data-driven organizations use data for several use cases, such as analyzing […]

The post How to Become a Data-Driven Organization appeared first on LightsOnData.


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Author: George Firican

Ensuring ROI on Predictive Analytics Projects


With the fast-paced growth in data professionals: Data scientists, analysts, engineers,  and the lines between data roles being blurred, measuring and communicating the ROI of data teams is no easy feat. But given the large investment in this area, understanding this value presents an existential question for the data industry. Holistically, to understand the ROI […]

The post Ensuring ROI on Predictive Analytics Projects appeared first on LightsOnData.


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Author: George Firican

What you should know about data democratization and what it can do for your business data operations


In this digital age, the growth and success of businesses depend on the utilization of data. According to a 2020 report by Experian, 98% of organizations say that having high quality data is extremely important in achieving their company objectives. While data is a valuable asset, historically it has been controlled by in-house IT teams. Data […]

The post What you should know about data democratization and what it can do for your business data operations appeared first on LightsOnData.


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Author: Ben Herzberg

Meeting customer expectations on the road

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.

In the late 1990s, Nissan was Europe’s best-selling Asian car brand thanks to the Micra, Almera and Primera, which were the epitome of Japanese cars in that period “not very exciting, but extremely reliable”.

By the early noughties, Nissan tried to bring more frivolous design into their cars with the 2002 Micra K12 and 2002 Primera P12, and as a result, the once faithful customers looking for anonymous transportation stayed away.

Nissan recently referenced a project whose plan is anchored on providing improved consumer service. The new program aimed to make Nissan dealerships a strong competition to outside repair facilities. This is important because once the manufacturer warranty expires, car owners more often than not approach independent repair facilities.

A data Project

Some years earlier, Nissan’s Valérie Clert and CGI’s Christophe Jeandidier presented some important insights on customer master data to an Informatica World conference audience.

The results that Nissan harvested from taking a good hard look at their data suggested that for marketing organizations at least, they could see improved campaign conversion rates using a “preferred channels” approach. This would in turn lead to 1.5 to 2.5-factor increases in campaign effectiveness. How did they do it? Implementing more rigour around customer master data management.

According to technofunc, the top players in the automotive industry globally, are Toyota, General Motors, Volkswagen, Hyundai, Ford, and Honda. Nissan isn’t in that top 6, yet today in Europe Nissan places as No5 according to WheelsInquirer.

The automotive industry is quite competitive at the brand level.

Although dealerships possess some of the localized market power, the retail market in general is still quite competitive. Demand is relatively elastic because consumers have different dealerships and cars to choose from but more importantly, the brands that they chase have different appeals according to brand recognition and perceived status, understood utility, styling and other factors.

Customer loyalty and rewards

As can be seen, the perception vs. the reality also varied depending on regional market differences. Although Nissan has dealerships all over the world the desire is to make the Nissan experience even more fulfilling for customers, hence the launch of a special loyalty program – Nissan: One to One Rewards – Customers earn points for spending money on vehicles, parts and services. Buying a vehicle provides a $250 discount for the next vehicle purchase Enrolled members in the Nissan loyalty program are also eligible for a physical loyalty card.

Every industry has its own challenges and the automotive industry is no different.

In an interview with Hervé Moulin: Alliance Project Leader – Telematics in Finished Vehicle Logistics and Transport Means Specialist in Alliance Logistics Europe – Vehicle Operations, Moulin suggested there would be major challenges in future years.

“Customers are now changing their behaviour – they are more reliant on the internet and prefer car sharing than going somewhere themselves. Customers now prefer staying in large cities, where they must, understandably, share their transport capabilities. Also, local authorities don’t want traditional freight deliveries anymore. Cities are getting increasingly congested and trucks are not welcome in the cities. ”

Nissan Europe had been facing a declining customer retention rate and a customer renewal rate lagging behind that of competitors. Shortfalls were driven by poor customer data management leading to poor customer communications and interaction. Personalized communication is viewed as key to sustaining customer loyalty.

A reinvention of the corporate mission

Nissan’s plan as part of the Renault-Nissan-Mitsubishi Motors groups was to move from being considered just a carmaker, to a mobility service provider serving urban markets. Part of this strategy considered introducing an Electric Car-sharing Service something it has actively partnered with auto brand – Renault on delivering. This is in line with urban residents increasingly looking to multi-modal transportation systems to meet their needs.

Renault Group also supported Karhoo, a taxi, ride-hailing and private vehicle hiring service provider and offers a very broad choice of services with a total of more than 1.8 million vehicles as part of a signed partnership agreement with Karhoo. The company is also supporting Yuso through, RCI Bank and Services, a subsidiary of the Renault-Nissan-Mitsubishi Motors group.

While electric vehicles are quiet, cheap to operate, and offer most of the same conveniences available through conventionally-fueled vehicles; they are currently more expensive, have a reduced range of travel and taking longer to refuel. While these negative characteristics present the cars as being less capable, they are still possess the range and charging capabilities to meet the needs of almost every urban commuter, for 95% of their daily usage patterns. Yet perceptions persist for electric vehicles of being unattainable and undesirable. Providing the public with a positive first impression and direct experience with electric vehicles remains a challenge for any automotive manufacturer who is looking to enter the EV market.

James Hallam, PhD – Design Researcher, Design Strategist

All auto manufacturers would suggest that an improved unified view of the customer is needed to support the personalization of customer interaction but the challenges often include over one hundred data sources with silos of customer data, heterogenous data models and a lack of visibility into the end-to-end customer lifecycle. Every country in which Nissan operates for example also has different needs.

In 2021, Nissan laid out a plan to reach 50% electrification by 2030, spending 2 trillion yen ($13.8 billion) over five years. Based on customer demands for a diverse range of exciting vehicles, launching 23 new electrified models, including 15 new EVs, aiming for a 50% electrification mix by the fiscal year 2030. Nissan’s refurbishing infrastructure aims to support a circular economy in energy management, and Nissan aims to fully commercialize its vehicle-to-everything and home battery systems in the mid-2020s. Additionally investing up to 20 billion yen by 2026 towards charging infrastructure. The greatest success in all of these spheres has to include developing an ever closer relationship with the customer.

The Nissan Europe-CGI-Informatica tie-up at one point, saw 16 countries of Nissan Europe with their variability in data, live with the Nissan Customer Database and experiencing the benefits of improved customer insights, of course, a single view of each customer allowing Nissan to communicate in a personalized way too.

Personalization at work

According to Sinch, Nissan used their CRM data with Adobe Campaign to customize personalized Rich SMS campaigns in France and Spain, building long-lasting customer relationships after purchase that resulted in 4.7 times higher engagement, an 80% conversion rate and all off of a base of 200,000 customers targeted in the first 6 months.

Reinforcing its commitment to electric mobility and creating a carbon-neutral society, Nissan also announced a partnership with leading EV charging suppliers, Allego and E.ON, to update and increase the rapid charger offering provided by Nissan’s extensive European dealership network.

Nissan Europe also announced the launch of the GigCX peer-to-peer support. This is for pre-sale queries surrounding the Nissan LEAF® a leader in mainstream electric vehicles.

The partnership between Nissan Europe and Nissan United, Limitless, Amplify.ai and Facebook Messenger – offers a solution that features a combination of Facebook Messenger, Conversational AI, and seamless hand-off to humans for the peer-to-peer support model, a first for the automotive industry at the time and accelerated with the pandemic-driven digital shift.

Many prospective buyers of electric vehicles are first-time car buyers for whom empathy has become paramount when it comes to answering questions, increasing the importance of personal connection more than ever before.

As you can tell, the data is coming from a lot of places, different systems, different partnerships and in different formats.

The single-customer view

The approach to formulating the best possible golden nominal and single customer view means you need to make some careful choices about the data that you need to retain and curate. In the case of the CGI, Informatica and Nissan projects, this was done by focusing on the accuracy and reliability of the data coming from the different source systems. The analysis allowed source priority scoring so that the team could determine the leading system-of-record for each of the entities in the customer database. Data latency was also a factor with the recent data receiving a higher score.

The combination of both source priority and latency score determines which source data is kept in the Nissan Customer Database.

With so many sources in different formats, converging on a single, unique version of what a customer is, becomes a necessary part of establishing the Nissan Customer Database, ideally with the best possible version of the digital customer.

Advanced clustering and matching techniques identify groups of data that most likely belonged to the same customer, then cleansed the data, and then applied matching algorithms to identify the likelihood of two entities being the same customer.

This all paints a picture of the typical multithreaded nature of a big business pulling on many strings to improve top and bottom-line growth. The most important thing is that we should remember that the customer and customer records are central to the story. Without knowledge and insight, without convergence on a single source of definition for the customer, it is incredibly difficult to know whether all these efforts are being as effective as they possibly can be. It is a journey that never really ends.

Just like the transition from motorcycle engines to urban charging stations and local manufacturer-branded dealerships to maintain the smooth operations of after-sales service and fuel, maintaining customer data has to be considered a continuous activity and one where we believe Pretectum CMDM can help. Contact us today to learn more on how.

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Master Data Management Business Requirements

Master Data Management is seen as a way for the business to address a number of technical and operational problems that may be strategic and tactical in nature.

Triggering events may be new business acquisitions and the wave of new data that may need to be incorporated in a robust de-duplicated way.

Another triggering event may be more rigorous operational scrutiny in response to new public regulations, changes from private to public accountability or compliance pressures.

Changes in organizational leadership accompanied by a revitalisation of the business vision and business strategy may also be a catalyst.

Whatever the cause, there is often a handful of expectations from the business as to what more data governance, influenced by the implementation of an MDM will deliver. With the customer master in particular there is often the belief that more rigorous deduplication, enhancement and data quality in the customer repository will help in improving the Know-Your-Customer (KYC) situation. The establishment of a “360-degree-view” of customer records is seen as a key to supporting KYC.

Software vendors see MDM in particular as a strong software systems-based approach to helping to formulate said views and addressing the needs of business pressures to improve data quality. These solutions focus on technical efficacy without an understanding or a desire to understand the organizational challenges that centralized control and governance of the data have for the day-to-day needs and operational requirements of the business itself.

Further, the approach of many of these solutions is often rooted in data practice theory and built on legacy technology stacks that are robust but aged, and somewhat incompatible with contemporary business-led as opposed to IT-led initiatives.

Expectations

  • The business should be able to define the terms and descriptions that it has for data elements that it uses. In some applications, this is referred to as a glossary but in reality, this is a collection of descriptions and data classifiers.
  • The business should be able to define the customer in a single way for all business areas to adhere to where the function is fully centralized. The business should be able to define what a customer record should look like in totality if this is required, especially if this is necessary for integration with systems.
  • The business should be able to use core elements of the defined customer with extensions by other areas of the business where the approach is looser or decentralized. Every business area may have a lens through which it chooses to see the customer, which may have supplementary attributes or simply a subset of all the elements that the systems require.
  • Data itself is created or collated centrally
  • The data is assessed in real-time and in batches as well as recurrent cycles for anomalies relative to the data definitions in place.
  • The data is identified for potential duplicates
  • the duplicates can be grouped, consolidated or merged via fully automated, semi-automated or manual methods, according to the needs of the business.
  • The data definitions can be leveraged by ecosystem applications and systems to ensure that records that are created or amended meet the configuration expectations of the MDM
  • The data itself is accessible to ecosystem applications and systems in a secure, authenticated and permission-based way through a syndication approach either in real-time, serially, batched/bulk or through continuous integration.
  • Data design creation and amendment can be established through decisions by a crowdsourced organizational hierarchy of stakeholders and interested parties who can approve/reject the designs.
  • Data creation and changes can, if necessary, also be established through a similar hierarchy of controllers, administrators, curators and stakeholders.
  • Where appropriate, the subjects of the data curation system can engage in a secure, authenticated self-service data curation approach to evaluate the data held and apply further curation.
  • Extensive secure and authenticated integrations are available for a wide array of technologies
  • Extensive reporting is available for compliance and operations on lineage, usage, statistics and data quality.

Learn how the Pretectum CMDM meets these expectations

What is a point of sale (POS)?

By Chase Canada

Are you considering a new point of sale (POS) system? The right POS software can be a workhorse, allowing customers to easily purchase their items and provide business owners with access to crucial data.

Whether you are looking for your first POS system or want to replace your current system, there are many factors to consider. Which features are essential for your business? If you’re completely new to the world of POS systems, you may even wonder what tasks a POS system can do besides calculating how much change to give a cash customer.

This article covers the landscape of the POS system market, including exactly what a POS system is, common features, and how the right POS system can help your small business grow. 

What is a point of sale (POS)?

In a physical store, the point of sale is the location where customers make their purchases, and a POS system is the set of tools that help make that purchase happen. It serves as the central hub to process sales transactions, gathers data, and manages inventory. Whether you run a restaurant, retail store, service-based or hospitality business, or another type of store, all merchants need a POS system. 

A POS system generally includes a register in businesses with a physical location, but they may also use a tablet or cloud-based POS system. A cloud-based POS system includes the software that processes the sale and accepts credit cards but offers the ability to use any device to accept payments. With a cloud-based POS system, management and their teams can access sales reporting from anywhere.

A conventional POS system in a brick-and-mortar establishment includes several devices, including some combination of the following:

  • Cash register
  • Receipt printers
  • Credit card readers
  • Barcode scanners

A POS system also includes the software that processes the sale and accepts credit cards. As a small business, you must be able to take payment by card; after all, in 2020, credit cards made up 30% and debit cards made up 38% of all transactions in Canada.

What are cloud-based POS systems?

Cloud-based systems securely store data and process payments over the internet — without requiring expensive on-site servers.

Most of us are familiar with the standard cash register — and may have used one before. However, many mobile, cloud-based POS systems use a tablet or smartphone rather than a traditional register.

There are several benefits to this setup. For example, it allows merchants to access reports and manage their business in real-time and on-the-go. It also provides more flexibility: It’s easier to host pop-ups or add registers during high-traffic seasons, such as the holidays.

There are other benefits to cloud-based POS systems:

  • Setting up and using the system is simpler than a traditional register.
  • The customer may be able to pay without waiting in line.
  • Businesses may sell more products because they can easily manage multiple locations by accessing sales and business information from anywhere.
  • Businesses have access to better data and faster reporting.
  • Integrations with other software help manage inventory, monitor hourly employees, and more.

Many cloud-based POS systems also provide additional features to improve business flow. They may integrate with your business software or offer employee training. 

Features to look for in a POS system

The right POS system can help you drive sales, improve the customer experience, and simplify the sales process.

Before deciding on a system, take a look at your current process. Research and answer questions like:

  • What data do you need?
  • Where do your customers and/or employees get confused during a sale?
  • Are there specific challenges you want your business to overcome?

For example, if wait times are higher than you’d prefer, you may prioritize a cloud-based POS system that can be used on multiple mobile devices. That way, employees can help customers check out on the sales floor. Alternatively, if managing inventory takes a great deal of time, look for a system that tracks product turnover and improves the ordering process.

Let’s look at the most common POS system features you should know about.

Catalogue tracking and management

Inventory control and order management can take up hours of your time. A POS system can manage much of this for you by tracking items sold, allowing employees to look up stock and find prices, and notifying you when stock is low or at a pre-set level.

Multi-channel capabilities

If you have both an online and brick-and-mortar store, look for a POS system that has multi-channel capabilities. With it, your business can seamlessly track and process sales in both locations. If you sell on sites such as Amazon in addition to your business website, make sure your POS software can handle those channels as well.

Customer management

POS systems do more than just process credit cards and track revenue — they can also help you keep tabs on your customers and their needs. Data from POS software can help you better understand where your customers live, collect email addresses to build your email marketing list, manage loyalty programs, and store receipts to streamline the return process. Look for a POS system that offers the customer management features your business needs to succeed. 

Reporting and analytics

Data drives businesses. The right POS system provides a range of reporting and analytics features you can use to drive business decisions. For example, you can see which products sell the most, what time of the day is busiest, which credit cards people use, or which employees sell the most products.

This information makes it easier to order products on time, schedule employees, and determine which products your customers prefer and buy most often. After taking payments, reporting is the most critical feature you should look at in a POS system.

Integrations

POS systems shouldn’t work in a silo. In today’s digital world, they connect with many other platforms, including your sales software, customer relationship management (CRM) platform, email marketing provider, invoicing software, and more.

This connection, known as integration, also improves automation. For example, a small business selling custom knitwear could integrate their POS system, email marketing software, and CRM platform and use these integrated systems to create an automation that emails coupons to frequent customers who haven’t completed a purchase in two months.

Choose a POS system that connects with your sales, marketing, and other business platforms so you can make the most of your business data.

Security and compliance

Security is a top concern whether your business is online, brick-and-mortar, or both. Most POS systems process credit cards and other electronic payments, so you need to ensure that data is secure. Beyond account information, email addresses, phone numbers, and physical addresses are all also sensitive data, so make sure your entire POS system guards this information.

Depending on the locations of both you and your customers, you will need to comply with Canadian privacy lawsCASLGDPR, and other regulations in your area.

Make sure your POS system takes security seriously. This may include using encryption, whitelisting applications, and automating security updates.

User-friendliness

If a POS system is hard to use, it frustrates employees and slows down the sales process, which can cost a business money. For your business, consider a POS system that is created specifically for your industry or product. Choose one that’s intuitive to use with well-labeled buttons and an easy-to-use interface. Ask about customer support options as well, because your business deserves to work with a provider that has excellent support that’s available when you’re open and need them.

Training resources

To make the most out of your POS system, you have to know how to use it. Make sure your system’s provider offers training resources, such as videos or a detailed FAQ page. Training should include not just new employee training, but also in-depth product guides, details about features, and troubleshooting documentation.

Some POS systems offer integrated training, which allows users to access tips as they navigate the payment process. This feature can be extremely helpful in a fast-paced retail or restaurant environment.

Customer support

No matter how easy your POS system is to use, eventually, you’ll have questions, need help, or run into problems. Make sure the POS system you are considering offers support in the languages and time zones you need. Check online reviews, too, to see how current customers rate the support. Does the company respond quickly? Are there long downtimes?

Less common POS system features

Your business doesn’t have the exact same needs as every other business, which is why there is no one right POS system on the market. In addition to the common features explained above, some systems offer more niche features, such as:

  • Online ordering for in-store pick-up
  • Delivery tracking
  • Age verification
  • Integrated calendars
  • Gift card management

Drive the success of your business with a cloud-based POS system

In today’s world, data is king. The right POS software provides the data and features your business needs to grow, all in one easy-to-use package. Cloud-based POS systems are affordable and can integrate with other sales and marketing tools. For many businesses, that means you’re not stuck in a single provider’s ecosystem that doesn’t work with your other data sources.

For small businesses that want to invest in their future, a cloud-based POS system is essential.

woman and man discussing work matters together
Customer Master Data Management matters

Some reasons why you should care

Reducing business friction – when you don’t have a customer MDM, every business department is responsible for collecting and maintaining master data – marketing, sales, service, support, billing and collections.

The result is that the same master data may be collected multiple times, and worse, the exact same data may be maintained by more than one department.

If it is consumer data that may land your business in a non-compliance situation when dealing with GDPR and privacy laws. 

A customer MDM defines a clear governance process; this means every aspect of the customer master needs to be collected only once. this reduces the number of collection points for the master data and in turn, can reduce the workload for customer data collection for each department. There is less time collecting and verifying and less time needing to be spent on reconciliation.

Having a customer MDM will lead to improved customer data quality. One of the main weaknesses in an unstructured, decentralized data management function is that data quality gets compromised.

Every department holds a version of the truth as they see it. This inevitably leads to reconciliation and consolidation problems and can even introduce issues in the transaction processing process for the customer.

Sales sell, but the credit risk department assesses risk and sets credit thresholds. If the two departments are working off different views of the customer because the customer master is out of synch or never gets reconciled then sales may not sell because they suspect that the customer is not current with their payments or they may oversell to a customer who has a poor likelihood of settlement. A unified customer master that both references will give a better view of the customer.

When the Customer MDM is the one single source of truth it will provide all relevant master data and directly deliver all the benefits of superior data quality. Data quality here isn’t only about the correct data but also the customer data that is the most up-to-date.

The best possible customer record and experience for all, is the result.

When all the customer master data is located centrally, the organization is placed in a better position for compliance and governance assessment. The Customer MDM provides the ability to clearly structure data responsibilities.

This structure tells you who is responsible for definition, creation, amendment, viewing/retrieving, deletion and archiving. Moreover, when the data is found centrally, when there are subject access requests, you only have to go to one place to provide details of what you have and what you know about the customer.

Having the customer MDM as your single source of truth will assist in meeting all the expectations of audit, risk, compliance and the customer themselves. Master data management systems in general represent perfect single-source of truth repositories in that they often provide evidence of origin and sourcing lineage. These exist to support business processes but can also be valuable for compliance reporting.

Make better decisions now that you have all your customer data in one place and can have a comprehensive, and complete view of the customer master. Organization-wide decision processes can rely on the latest set of common customer master data which will help operations, executives, managers and marketers make informed, fact-based decisions.

Actually, this is a very important aspect you have to understand. When it comes to decision making, dynamic data is most often in the spotlight. However, as mentioned in my initial statement, master data is actually the powerhouse that drives your dynamic data.

Automation doesn’t have to be a dirty people-displacing word. In fact, it can be a boon to your business efficiency and effectiveness since data exchanges and data hygiene tasks can be performed automatically.

For most companies, the implementation of a customer MDM will eliminate a lot of highly manual tasks engaged in by multiple participants in the creation and maintenance of customer master data.

You can still collect data in Excel if necessary but as long as those spreadsheets land in the master data system through an automated method, you will still have what you consider a tactically effective mechanism as something complementary to the overall needs that the business

Your centralized, system-based Customer Master Data Management eliminates many operational and logistics issues.

With the Pretectum CMDM, there’s no longer a need for creating and maintaining personal Excel files and isolated databases of customer data. Instead, data governance processes restrict that approach and since people always want the most complete and freshest data, why wouldn’t they go to a system that has all that?

volcano eruption
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.

While different classes of MDM can be defined as providing particular functions, MDM as a broad tool description is probably not that useful to business leaders. The ultimate question has to be, what do you want the Customer MDM to do for you? Knowing the answer to that question will direct you to the right combination of features and functionality to evaluate in a vendor or homegrown solution.

MDM technology and functionality overlap many types of software solutions that have addressed the issue of customer records and customer engagement in the past. These include Customer Data Platforms (CDP), Customer Relationship Management (CRM), and Marketing Automation (MA) platforms and technologies.

CRM and MA systems focus on customer interactions at the account level as well as at the individual contact level. Many CRMs are not purpose-built to be master record management systems, though they will have data mastering as an important part of their architecture. CRMs in particular, focus on sales events and pipeline call-off activities. As CRMs and Marketing Automation systems evolve they will subsume more MDM functionality and they will converge, however, CRMs will remain focused on what they do best, which is to gather and curate the interactions that your organization has with its contracted audiences and prospects. CRM and MA tools typically focus on known users.

CDPs capture anonymous data and verified or authenticated data. CDPs can also collect data on the customer journey and are built for the integration and collection of large amounts of data.  The core functionality of CDPs is focused on building out a unified database of existing and prospective customers, but they can also be used to manage customer engagement, provide analytics, campaign and event attribution and market segmentation, as well as enable personalization, message selection and campaign management.

Customer Master Data Management programs seek to have a golden record of the customer but probably should not include interactions from other systems except when those interactions alter the main customer record. While some MDM solutions are aimed at technical audiences, they do not necessarily need to be exclusively for technical teams since many mid-tier organizations don’t necessarily have data stewardship or data governance function. You’re either working in the business or you are in IT.

The view, at Pretectum, 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.

Since MDMs come in all shapes and sizes, your needs will be determined by how you choose to frame the challenge and the degree of maturity of supporting processes for customer master data management. A suitable solution will support a litany of pieces of functionality, not all of which you will need.

As an example, if you need a master but you have teams that require personalized structures and attributes for specific tasks, then you should be able to do this the golden thread of the core master record is always accessible and at hand. There will be prerequisites but the system should support flexible usage and appropriate data syndication accompanied by high-quality data and a detailed understanding of what you have at your disposal in terms of the customer master record.

Learn more about the Pretectum CMDM advantage for your organization

    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.

    The Customer Data Model

    We try to decode the thinking because ultimately it can help us understand how customers arrive at their decisions and choices. In the study of customer behaviours, in particular, you’re looking at the processes customers apply to choose, use and dispose of your products and services and this includes factoring in their emotional, mental, and behavioural responses. Behaviour analytics examines the customer through the analytical lenses of psychology, biology, chemistry, and economic practices. For marketers, these analyses help in understanding what influences the acquire, buy and discard decisions. This in turn leads to a rehoning of the message, branding, positioning, promotions, advertising, and even what is ultimately formulated as a product or service.

    Only through an in-depth understanding of the customer can businesses hope how best to decide on products and service offerings and how adequately they fill gaps in the market and are needed and wanted.

    Revealing the customer

    There are three categories of factors that are considered an influence customer behaviour:

    • Personal: the customer’s interests and opinions as influenced by their age, gender, ethnicity, and culture.
    • Psychological: the customer’s reaction to particular kinds of messaging, which is dependent on their personal perceptions, attitudes, and mentality.
    • Social: factors such as family, friends, education level, social media, income, and socioeconomic status all have an influence on customer behaviour.

    In addition, there are four principal types of “buy” behaviour outcomes amongst customers; complex, dissonance-reducing, habitual, and variety or variability buy behaviours.

    Complex buying behaviour is typically associated with infrequent big-ticket product or service purchases. Such buy activities are complex in that the customers of engaging in a great deal of research before committing to the investment. Examples are purchases of high-end luxury goods, houses, cars, and holidays.

    Dissonance-reducing buy behaviour sees the customer encountering difficulties in determining the differences between specific products or brands. This ‘Dissonance’ often occurs when the customer fears making a bad choice. Clothing purchases may manifest this but equally, this can be present when buying appliances or electronic goods. Habitual buying behaviour.

    Habitual purchases typically involve very little preference, bias, or influence in the product or brand category because the risk is relatively low and there is no major emotional or cognitive investment. While grocery brands will often suggest that this implies brand loyalty, the reality is that in many cases the customer chooses based on past positive experiences which may be tied to price, look, feel, scent, taste, or overall experience. The repeat purchases are habitual rather than carefully thought through.

    Variety and variability in purchase behaviour are typically directly associated with past frustration, disappointment, or a bad experience with a previous purchase decision.

    The highly configurable Pretectum CMDM schema


    Pretectum believes that for you to have the best effect in terms of influence on the subscription to your services or the purchase of your products, you need to have the best possible understanding of your customer through the customer master data repository. This can help to inform your business in relation to how to target customers, what their purchasing power is like, their likes and dislikes and who influences their decision-making processes.

    The Pretectum CMDM enables you to decide the aspects that you need to maintain within the customer master, from an understanding of buying patterns to what they are buying, where, and when they buy, and how they pay.

    Consider what you store about your customers today and consider what you could store with the Pretectum CMDM to help your business in getting closer to your customers and being able to more appropriately understand and provide them with the goods and services that they want.

    silver samsung android smartphone
    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.

    Further, unless you build customer contacts from your shipping or Logistics Execution System (LES), it is questionable who owns the actual customer. The more social platforms take over the buying process, the more they take power away from your business. The less data you have the less personalised the experience you can offer both online and offline.

    If those same platforms also sell the customer data they have to others, the further the cut into brand allegiance with shoppers potentially being redirected to competitors including the platform itself if it decides to branch out into retail.

    Contact us to learn more about Pretectum’s Customer Master Data Management system.

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