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July, 2022

Giving Customers What They Want from Financial Services

Alex Thompson Data and AI July 29, 2022
Financial Sector

Our society has experienced a major shift in its activities over the past couple of decades. Instead of doing things manually, we have discovered ways to ease our workloads using technology. We saw major changes in the way we do our taxes, manage our bank accounts, or even purchase the things we need and want daily with the help of technology. Digital banking was introduced into the market, and it revolutionized the way we handle our transactions and finances.

In this technologically advanced society, financial service providers need to find ways to integrate technology into their services. Their systems and services must cater to their customers’ needs without being too much of a hassle to use. Considering this, a great starting point for financial service providers is to think about flexibility— how can you make your services flexible to the varying needs of your customers? In this article, you will learn three principles that you can apply to make your customers’ digital banking experience seamless and flexible.

What does the financial services industry look like today?

Gone are the days when financial service providers used traditional methods of doing business. The digitalization and incorporation of technology into the way we do business has been prompted by many factors. However, they all have a common target — customer satisfaction.

For instance, the COVID-19 pandemic brought many challenges for businesses in serving their customers. With people stuck in their homes, they couldn’t interact with merchants as before. This need for contactless transactions made digital payment systems more widely used among customers. In fact, Chase’s Digital Banking Attitudes Study found that in the past year, 93% of consumers have used at least used one digital payment method. This proves how essential it is to find alternative payment methods when it comes to day-to-day transactions.

Another rising trend in the financial services industry is the use of Buy Now, Pay Later (BNPL). This new entrant in the financial services industry splits purchases, particularly those worth large amounts, into smaller installments. Often, these installments come with no interest or fees. For an individual with an average income, this option seems to be the most beneficial, especially when their budget is a bit tight. Although BNPL service providers and users are still fewer than those who accept payments via other methods, it is no doubt that BNPLs will be among the major players in the financial services industry in the near future.

How Can You Incorporate Flexibility into Financial Services?

Let’s face it, customers love it when service providers are flexible. This is also applicable to the financial services industry. You have learned that financial services providers alter their business to fit their customers ‘ever-changing needs. Now, it’s good business to focus on how you can provide flexibility in yours. Here are three principles to keep in mind so that you can keep up or even get ahead of the financial industry trends.

Form partnerships

When it comes to financial services, you cannot take care of all the transactions alone. Although you can implement strategies to give the customers seamless experiences when it comes to handling finances, it is not always certain that what you provide is all that your customers need. Sometimes, what you need to give utmost customer satisfaction is to partner with other financial service providers – especially those who provide innovative products and services. This way, you can give your customers the flexibility that they crave without the cost of developing your own tools.

In forming partnerships, you have to consider whether you are in a good position for it. You have to assess whether you have existing operating models which enable sharing of research and insight, particularly those involving your competitors. You also need to think about your partnership strategy. After all, a partnership can be a huge factor in deciding your future strategies. For example, a partnership can eventually lead to the acquisition of the partner, or to building the product used in-house.

Aim to create seamless experiences

In any service that we use, we want a smooth and efficient experience. This is the same when it comes to financial services. Consumers want their transactions to be seamless; they do not want to have any problems with their interactions such as their payments not going through. With this in mind, financial services providers must make their systems and products as seamless as possible.

Highlighting seamless experiences in your services and products not only attracts potential consumers but also helps retain existing ones. This is because customer satisfaction is highly influenced by user experience. Even having one unpleasant experience in the services and products you provide can cost you a customer or your potential market. Remember that the first thing people look at when they are trying something new is the reviews about the experience previous customers had with it.

In creating seamless experiences for your consumers, you first have to evaluate your processes and tools. Take a look at your current strategies and action plans and see whether they are geared towards the continuous improvement of your customers’ experience with your products and services. You should also consider the problems customers frequently experience and generate tools that can help you with them. These tools do not have to be expensive. As long as they can efficiently help create seamless experiences for customers, even low-cost ones will be a huge help.

Focus on long-term strategies than short-term ones

A rapidly changing world calls for decision-makers who are focused on the business’s long-term goals and plans. You should focus your strategies and action plans on how the future of the market can be shaped. This way, you can create new opportunities for the market itself, as well as foster an innovative and proactive mindset for your team.

Focusing on the long-term requires that you look at all the possible futures the market may experience. You can do this by looking at the outside factors that have the potential to influence the financial services industry. Once you have identified the factors and all possible futures, you can start by identifying all the actions you may need to become a frontrunner in the possible future that you’ve created.

Thinking long-term can mean you have to go big on your vision. You can create strategies using this vision to define your value and determine what you can bring to the table.

The Final Say

Technology has given a lot of opportunities for different industries to evolve and innovate their services. This includes the financial services industry. However, despite these opportunities, the goal still stays the same— to give customer satisfaction. You can learn from the latest trends in the market as you create ways to solve customer problems and provide them with the flexibility that they crave. If you are in need of ways to incorporate flexibility in your financial products and services, you can use the principles we’ve mentioned here as your guide. However, you must take into account that these principles are not constant. You should still be able to evolve these principles as new trends in the market arise. This way, you can become the frontrunner in providing customers with the satisfaction they want.

Agility for Financial Services: Your Secret to Success

Agile for Financial Services

Engaging in financial services means that you are exposed to constant change. There is always something new in this industry— AI’s increasing role, new market regulations, and ever-changing consumer preferences. Adapting to these changes, however, requires that you also modify your existing systems and models. You must always be able to circumvent your workflows, no matter how well-established they may be so that you won’t get lost in the tide.

One way companies are keeping up with the constantly changing conditions of the financial services industry is by implementing agile approaches to their operations. In this article, you will learn the basics of Agile, and why it may be the secret to your future success.

What is Agile?

Introduced in the Agile Manifesto, Agile is a set of principles, theories, and values aimed at uncovering ways to deliver value and collaborate with your customers. Since its publication in 2001, the Agile approach has helped organizations to increase customer responsiveness, collaborate across organizational functions, and practice radical ownership.

The Agile approach breaks down large processes into small parts for continuous delivery. This means that evaluations of requirements and results are done in a shorter timeframe, resulting in a closer relationship between you and your customers.

Can Financial Service Providers Implement the Agile Approach?

Definitely. Agile found its roots in the software industry, however, organizations in various industries and fields have successfully adopted the approach in their operations. Despite its widespread use, financial service providers seem to be reluctant to implement the Agile approach. This is because those in the financial industry tend to implement traditional methods of management focused on standardization. Financial service providers commonly have a top-down approach to management, meaning that leadership decides on action plans and strategies. Employees must simply follow the plans that top management has set. This makes financial institutions heavily siloed, leaving employees with a transactional way of thinking.

As we’ve mentioned before, the financial services industry is faced with constant changes brought about by several factors. Financial service providers may find it difficult to keep up with the changing market conditions if they continue to use traditional management methods. This is why it is important that you lean into new and innovative ways of handling your customers’ needs such as Agile.

Why Agile?

Technology companies are not the only ones that can benefit from taking the Agile approach in their operations. Financial service providers can also take advantage of Agile principles to provide customers with seamless experiences, leading to customer satisfaction. Here are some reasons why you should adopt the Agile approach.

Agile for Financial Services

Implementing Agile in Financial Services

Just like what it did for the software industry, Agile has the potential to completely innovate and revolutionize the financial services industry. It can help organizations to keep up with the constantly changing market conditions and consumer preferences. However, you must keep in mind that no company implements the same set of Agile methodologies. This is because organizations have different complexities as well as needs and requirements. Here are some proven strategies when implementing Agile in your operations.

Nurture leaders toward alignment

Although Agile creates empowered and self-managing teams, it is still important to delegate a leader who aligns the team to upcoming changes. This way, your teams can have direction and any roadblocks to success can be removed for both the customers and the employees. A leader also makes sure that the Agile framework that you adopted gets properly implemented and improved.

You can start to nurture your Agile leaders by helping them deeply understand Agile itself. You need to communicate to them what Agile is, and why it is important that your organization adopts the methodology. When they can fully understand your intent and the Agile methodology, they will be able to foster successful Agile teams, and eventually create a self-managing and empowered team.

Define what you envision your organization to be

Before you can decide and implement an Agile methodology for your organization, you should first define what your goals are. Envision what you want your organization to be as this becomes a basis of what Agile strategies you should adopt. Ask yourself, “What do I want my organization to be in the financial services industry?”

Recognize your customers and their journeys

When we say “customers,” we don’t necessarily mean the end-user or the consumer of your products and services. Anyone who accepts the work is considered a customer in the Agile approach. This means that they can be an internal unit in your organization such as marketing or legal, or external persons such as regulating bodies.

You can recognize your customers and their journeys by researching what they need. From here, you can create a customer journey that visualizes their experience at each point of their transaction. This way, you can retain the customer as the center of your organization while also driving your teams towards improvement.

Foster a work culture that centers on Agile

A fast shift in management methodologies can cause culture shock among your teams. After all, they will have to adjust to the new processes and methods in doing their work, especially if they were used to a highly structured, command-and-control type of management. Since Agile is not just a process but a way of thinking, you should be able to foster a work environment that encourages learning, collaboration, understanding, and flexibility.

Help them understand what Value Stream Mapping (VSM) is

A value stream is a set of actions that take place to add value for the customer in their whole customer journey, from their initial request to their realization of value. This also includes the people involved in the customer journey as well as the materials and tools used in fulfilling the customer’s request.

When adopting the Agile approach in a financial institution, it is essential that the people involved know what their value stream is. This is because every aspect of a financial institution involves complexity, regulatory risk, and compliance. You can help them learn and understand what a value stream is through a Value Stream Mapping (VSM) workshop. By doing so, you can identify your Agile teams as well as your portfolios.

The Final Say

Agile has revolutionized how organizations across many industries deliver their products and services to their customers. Even within our rapidly changing society, Agile has proven that its principles and methodologies can help organizations become frontrunners within their industries. This is the same with financial services providers. The ever-changing market calls for the financial industry to come out of its traditional methods and try new ways to innovate its services and operations. You can use this as a guide in adopting the Agile approach to your organization so that you can lead the market with the help of your teams.

Business Transformation Enabled by Accelerated Engineering

Business Transformation

There are many types of business transformation. In fact, businesses cannot survive without accepting that transformation is inevitable. The very basis of transforming a business lies in making fundamental changes to the way you conduct your business to cope with shifts within your industry or marketplace.

However, it’s safe to say that “making fundamental change” is an incredibly narrow definition of business transformation. The willingness to evolve is essential for business survival. Of course, transforming a business isn’t restricted to enhancing the customer journey and remaining relevant among the competition, but it also pertains to navigating ever-evolving regulatory complexities.

Types of Business Transformation

Modern engineering continues to fuel many business transformations across the board. In general, a business might go through six types of change. Though it’s common for business transformation to stem from digital technologies, it is much more than replacing current systems.

Business leaders need to remember that they must give all areas of transformation a proper amount of attention to pull off successful changes. Here are a few aspects to keep an eye on when guiding through a business transformation encouraged by accelerated engineering.

Organization Transformation

A proper business transformation begins with refocusing and redesigning the structure of a company and its operational mode. This process is ever-evolving and should emphasize the employees, conducted by general management. Transformation can only occur if management is supportive and entirely on board with the transformation process.

Management Transformation

As how we work continues to evolve, new generations are redefining the structures within internal relations. Rigid systems tend to hinder growth, and a good leadership model collaborates forces and quickly adapts to future changes. Management transformation can keep and foster natural talent, so organizations must pay close attention to it.

Cultural Transformation

One of the most challenging aspects of business transformation is cultural transformation because it involves a complete company-wide change in mindset. Implementing a new corporate culture is only feasible after a managerial change in perspective and an established, concrete company culture vision.

Digital Transformation

One of the most significant transformations a company will even attempt is digital transformation. To pull off a successful digital transformation, companies must rethink their business models from a digitally strategic perspective. Here, you’ll decide how modern technology can improve your products, services, and every aspect of your customer journey.

Information Systems Transformation

The core of business transformation lies in the evolution of its information systems. Technologies, processes, and staff are all part of transforming information systems, and integrating new technologies can help bring in a flood of new data for teams to analyze and share across departments.

Transformation of Business Processes

Before you transform your business processes, you have to know which business processes need improvement. Understanding your company’s aspects that need progress is a crucial step toward efficiency. Make sure you weigh the options and choose the path that will save time and resources. For example, the automation of repetitive tasks can free up employee time and allows them to focus on core business processes, such as customer service, instead.

How Modern Engineering Enables Business Transformation

While every company must thoroughly explore the path they take to business transformation, hitting on every aspect along the way, there is no question that we’re living in a digital age. All companies in almost any industry must reimagine themselves as a version of a software company.

The refusal to modernize while embracing cloud transformation and modern engineering practices is a survival risk. We must focus on the value of the conversion instead of what it will cost. There are specific principles and practices that companies need to transform into a business that’s incredibly profitable and productive.

Choosing to Transform Development Operations (DevOps)

There’s no question that development operations correlate to increased profitability. When companies can transform development and operations departments from a digital and accelerated engineering perspective, they’re more likely to exceed in market share and profitability. So, how can you achieve this level of transformation, bringing in profitability that will change so many things for your business?

The short answer is simple. You’ve got to focus on the six fundamental aspects of transformation and create a business-aligned, customer-focused product team that can focus on optimizing value with the proper organizational change and modern engineering practices.

There are some essential components to DevOps that you must understand before embarking on company-wide transformations, particularly in how they apply to any changes enabled by accelerated engineering.

Business Transformation

Understanding Flow Metrics and Value Stream Mapping

Value stream mapping weaves seamlessly with your daily flow by delivering value to your customers. Your company has to know the steps it must take to provide value to your consumer base and helps you to understand how long it will take to process something versus how long you’ll have to wait. Value stream mapping provides an efficient timeline.

Measuring the efficiency of your workflow is a must-have work aspect and a much-discussed topic in the DevOps community. To keep your workflow moving along correctly, you’ll have to categorize your work, your statuses, and your key metrics should include:

The Process from Project to Product

To transform a business, it’s crucial to have a solid operating model in place. The most significant shift in any transformation is from a project to a product. It’s much easier to embrace the ways of development operations without expansive project plans and partial resources. When team members are not assigned to various projects and value streams, they can focus on business alignment and customer focus for one specific task, which in this case, is turning a project into a product.

A product team consists of varying departments. These include:

Business Transformation

Transforming Your Organization Today

Digital transformation is more important now than ever, but to transform a company based on accelerated engineering means improving productivity and shifting to product-based teams while employing modern engineering practices.

Creating and Executing an Actionable Digital Transformation Strategy in Healthcare

Digital Transformation in Healthcare

Digital transformation is the process of adding the latest digital technologies to improve how a business works.  Healthcare organizations will perform better by employing updated technology, and most of them are dealing with this shift by creating and implementing digital strategies. For healthcare leaders, this means creating a plan to update clinical workflows using technology, resulting in improved patient outcomes.

In this post, we will guide you in finding the right digital technology that best fits your organization’s vision and delivers better patient outcomes.

Going for Smart Digital System for the Future

Digital transformation is important for organizations. It helps them improve their services and meet the needs of their clients. But it is not always easy to find the right technology to meet your specific needs. That’s why it’s essential to understand your organization’s requirements before making the big move to a “digital first” model.

Healthcare organizations should regularly investigate how to deliver the best quality of care and be more efficient when it comes to customer experiences. Many times, this includes a review of the technology that is being used. Technology has revolutionized every industry, and healthcare is no different. By updating technology, you can simplify your organization’s workflows, leading to improved patient outcomes.

The first thing to develop is a clear understanding of what your organization wants to achieve. Are you looking to improve client engagement? Is there a loophole in your operations that’s draining your resources? Once you identify these problems, you will be better able to map out a plan for digital solutions.

If you plan to improve client engagement, you can start by implementing patient portals. It could be an all-in-one platform where patients can immediately access their health information. From here, they can contact their chosen healthcare professional when concerns arise.

Digital Transformation in Healthcare

Once you establish a clear direction, it’s time to search for reliable technology partners. This is crucial since you want to make sure you’re working with the right people and have the right team who can address the organization’s issues. Look for technologies that have a good track record of successful projects with other organizations.

Digital Transformation in Healthcare

Find Technology that Fits

Data-driven decisions will help in the organization’s sustainability. Access to data is essential to making informed decisions and investing in the right technology combined with strategy.

The use of data analytics will help your team understand how your patients use the portal and the features they find most notable. Then, your team pairs this with technology and works on areas needing improvement.

Using data gives you information about the clinical interventions that are most efficient. You will find other aspects of care across the board that technology can solve.

When you use this information to make sound decisions, the digital transformation can go smoothly and help your healthcare organization to reach its goals.

Bolder Vision with KPIs

Executive health leaders must anchor decisions based on the organization’s ‘North Star.’ By doing this, organizations work on establishing a sustainable case for their business. Without this, it would be challenging to stay committed because of leadership misalignment.

Establishing a clear vision for digital transformation is pivotal for your organization. Furthermore, it will help set goals and KPIs to check the business strategy.

KPIs or Key Performance Indicators are crucial tools any organization should employ. It further helps track your digital transformation strategy’s performance, progress, success, and loopholes.

To improve patient engagement, you can use KPIs showing the frequency of use, patient satisfaction, and the number of booked appointments online. KPIs also help track the technology’s performance and adjust strategies as needed.

Joining Strategy and Technology Together

In the early planning stages, your organization should have already identified the technology that best fits the plan to put in place. During this phase, having key personnel identify their goals with technology will help you to start planning.

Also, with KPIs, digital transformation will help create scalable but realistic outcomes. Each step of this strategy will need a technology perspective, from doing research to roadmap creation.

Put technology to the test

Having a plan beforehand will help make a smoother transition from traditional to digital.

Establishing clear guidelines and responsibilities will help guide the team in what needs to be done and where they need to go. It also allows them to move more in implementing new initiatives with less confusion. The goal is to ensure everyone is on the same page and working toward a shared goal.

Once strategies are already in place, it’s time to put technology to the test before rolling it out for public use. Have a plan to test the digital platform and check for the efficiency of its functions. A process should be in place to help collect feedback and make changes moving forward.

Ensure holistic and technology support

Improving strategies and processes is crucial to your organization’s success. But, pairing this with the right technology makes it easier to scale your business.

With new initiatives, healthcare organizations need suitable infrastructures to support these endeavors. Organizations thrive with the right software, hardware, and networking capacities.

Like infrastructures, having the right people will help your organization adapt to these changes. Working with a reliable team of IT professionals will help. They can provide tech help and assist with installation during your digital transformation that aligns with your organization’s goals.

Progress Shouldn’t Be Delayed

Delaying digital transformation for your business means losing to the competition. Creating a clear strategy and plan ensures your business is up to date in addressing modern healthcare needs.

Incorporating digital technology is essential. Why? It ensures interactions are kept afloat, especially in the healthcare system. Key persons need to prepare for the future by taking the time to create strategies to solve current issues facing healthcare. Leveraging digital strategies ensures exponential growth and better management of resources.

Conclusion

We know that the healthcare system is shifting with the times. And for healthcare systems to stay ahead of the curve, adapting technology is the key to sustainability. And with it, businesses can have more room for growth in the future.

Digital transformation is a journey, not a destination. As you embark on this journey, it’s essential to remember that there is no one-size-fits-all solution.

The key is to find what works best for your organization and your patients. Use technology as leverage and a means to help your organization achieve success faster with fewer downtimes and costs.

By pairing a clear strategy with technology in mind, you can ensure that your healthcare organization is prepared for the future.

Should You Consider Terraform Enterprise?

Terraform Enterprise

One of the most popular infrastructure-as-a-code tools today, Terraform Enterprise works for small businesses and larger, enterprise-level corporations. Terraform Enterprise can support all public cloud platforms, also known as cloud-agnostic, but it can also work with the existing on-premise infrastructure of a company or organization.

Terraform Enterprise offers plenty of features that encourage collaboration and make the overall management of daily work practices more efficient. If you’ve been on the fence regarding the implementation of Terraform Enterprise, it’s crucial to understand what the employment of this platform might look like for you and if it makes sense for your company to use it in the first place. Understanding the capabilities and how they can improve your business are important considerations before taking the plunge regarding any software, Terraform included!

Understanding the Terraform Journey

There’s no question that the open-source version of Terraform Enterprise is the most popular. A massive reason for that is that companies typically begin using this version, utilizing a POC to work on growing an infrastructure. However, it’s common for many businesses to start using Enterprise over open-source as time passes and company needs evolve.

Launching your Terraform journey with a small team and a mutual understanding among that team regarding how to manage resources and files from a Terraform open-source perspective is advised. Companies use Terraform to configure the information they have stored in their cloud platform.

There’s no need to reconfigure and establish provisions all at once, so don’t be afraid to start slow, allowing Terraform to map out real-world (and real-time) resources that will assist in your application configuration and inevitably improve company performance.

Kicking off your company’s journey with Terraform means choosing the version that will keep you moving forward. Smaller teams will likely not need additional assistance other than the open-source version of Terraform to keep company-wide infrastructure in the right state.

However, as teams grow, or teams that are large from the start, will likely find a need to employ Terraform Enterprise. In a more substantial company, managing and maintaining the resources related to Terraform can become challenging. It’s common for administrative teams to develop a process using tools to help align Terraform’s integration.

While these new processes may help, there is often too much time spent creating a workflow that works around Terraform, which can defeat the original purpose of the software. Companies that work with remote teams need access to cloud service and better, more efficient access to cloud controls, and Terraform Enterprise can help safely manage that infrastructure. Still, companies need to determine the best way to implement a new way of doing without creating dependency on a specific team or team member.

Terraform Enterprise: Changing the Possibilities

Terraform Enterprise can change the way businesses of all sizes operate, but when employed incorrectly, it becomes a time-consuming challenge. In general, most digital modernization methods, including migration to the cloud, can harm business practices when done poorly. If you genuinely want to achieve operational efficiency, knowledge is the key.

The features that come with Terraform Enterprise consist of most things that global development, operations, and IT teams are building from scratch. Not only does it have the capabilities that companies continue to chase through the modernization of legacy systems, but it can also assist in securely and consistently building infrastructure.

Let’s discuss some of the features that you’ll find with Terraform Enterprise, some of which may not apply to small businesses with few team members but still contain information that will be valuable in the future.

Terraform Enterprise

Choosing Terraform Enterprise

When choosing to implement a program like Terraform Enterprise, there is much to consider. First, it’s crucial to have a company team on hand that knows how to employ something like Terraform, or else you’ll end up working on new, unnecessary programs to help it function.

When you’ve got the teams in place, Terraform Enterprise is absolutely something to consider. From the collaboration capabilities to controlling cloud costs, Terraform Enterprise can be a saving grace for many businesses struggling to implement a time-saving workflow.

Deciphering Data Mesh Principles

Alex Thompson Data and AI July 4, 2022
Data Mesh Principles

Before we can decipher the data mesh principle, we must first understand what the concept encompasses. If you’re here, there’s probably a good chance you have a firm grasp of data mesh principles and what they mean, but perhaps you’d like it broken down a bit more.

Data mesh is a paradigm shift regarding big analytical data and the management of that data. Data mesh has addressed many of the limitations of past data management systems, including data lakes and warehouses.

There are four main principles to data mesh, and they include:

Data Mesh Principles

In this article, we’ll look closely at each of the four principles of data mesh so you can understand the benefits and challenges you might experience when implementing Data Mesh principles within your company. You can never be too prepared whenever you employ a new way of managing data. More profound knowledge of data mesh and product development will help you better integrate it as a new data management approach.

Investing in Data Mesh

It’s no secret that many organizations today struggle with managing their data, primarily as it grows seemingly beyond their control. Data lakes and data warehouses can help build a solid infrastructure, but monolithic data platforms are becoming a thing of the past. Thousands of companies (of all sizes) are investing in data mesh architecture and operating models to focus more intently on outcomes while increasing data agility.

Though the need for a more efficient solution to data management is evident, business owners aren’t fully grasping how to implement data mesh architecture into their organizations. Data mesh aims to break down the traditional ways of storing larger amounts of data and allow businesses to share data across specific domains. Still, it’s crucial to note that this alone does not make your new (though decentralized) platform data mesh.

To completely integrate the principles of data mesh, companies must employ them to work together. Each principle is interconnected, working together to provide a way for companies to experience growth on different levels. It’s crucial to develop an operating model that combines the four principles into a finalized, workable data management architecture.

Domain-Oriented Ownership

The first principle of data mesh is often referred to as domain-oriented ownership or domain-driven ownership of data. As company data platforms expand, they’re likely to outgrow the methods used to produce and consume data. Collecting data without the right data management ecosystem puts much pressure on data platforms and organizational structures.

The collection of data has to scale out horizontally at some point, and to do that, you can use the first principle of data mesh, or the decentralized, domain-oriented architecture of data ownership. Companies that expect to decentralize their monolithic platforms must change how they currently think about big data and who owns it.

We cannot keep data flowing from domains into centrally-owned lakes and platforms. Instead, finding a way for domains to serve and host their data in a way that’s easy to consume. Each domain should own all the data, including access control and consumption patterns.

This principle includes the ability to develop an end-to-end data solution, which means the inclusion of architectural considerations and the support of new technologies introduced, such as resources from the cloud. Domain-oriented ownership requires multi-disciplinary teams that can operate independently if needed.

This team should generally consist of the product owner, data architect, data engineer, data modeler, and data steward. If you’re unsure what professions to include in your new data management process, you might consider data scientists, machine learning engineers, data analysts, and software engineers. Building the team is half the battle.

Data as a Product

The second principle for data mesh is data as a product. The data mesh process can raise questions regarding the usability of datasets, as well as accessibility. Data as a product can enable consumers to understand and securely discover data distributed across various domains.

However, data doesn’t just become a product existing within a new data mesh infrastructure. Instead, domain teams should set a representation of their own data infrastructure, also called a producer, of which the output is a data product.

Any code or data relevant to that product is kept within the producers. Domain ownership is flexible, allowing one domain to own more than one producer and the products associated with that producer. The producer will publish the data product via an integration pattern or interface, which can look like a table share, API endpoint, database, or data marketplace.

Categorizing data products based on the business needs they serve can highlight the expectations of each mesh product. There are two categories appropriate for data products in the mesh, and these include:

Data Mesh Principles

There are heavy costs associated with the data product model, which reduces the speed of advancements. Data products require a strong operational model and flawless design processes. Also, your teams have to have the correct capabilities to build the platform.

Self-Serve Data Infrastructure as a Platform

Data as a product gives a cause for concern about the domain team cost of ownership, leading to the data mesh principle of self-serve data infrastructure as a platform. This third principle developed as a solution to accelerate the completion of producers in the data mesh. The self-serve approach also helps standardize the patterns and tools across domains.

Building data infrastructure as a platform means keeping the domain agnostic and ensuring that the platform disguises any possible problems while providing data with a self-service practice. To build this infrastructure, we must decrease lead times to create new data products faster.

Self-serve data infrastructure requires an approach that is not too restrictive or lacks strategy. Nobody wants a solution that’s difficult or impossible for various people to use. How can we do this? By implementing the following.

Data Mesh Principles

Federated Computational Governance

The fourth principle of data mesh involves enabling users to gain value from correlating independent data products and establishing a catalog of shared products. A data product catalog is a metadata store that includes non-technical and technical metadata about data products.

Essentially, the catalog is an online store where company members can look through available data products and evaluate their quality, reliability, frequency, confidentiality, terms of use, and attributes. Ideally, the product browser can directly request data access and sign a contract to dictate the terms of use and the data product SLA.

When executed correctly, a data catalog presents a two-way relationship involving sourcing and publishing data products. Of course, correctly implementing this product is much more than purchasing data catalog software and integrating it with your existing technical metadata store.

One of the most significant risks with a data product store is the possibility of the data product development moving too slowly. One team cannot manage every aspect of this solution; if we expect them to, we’re asking too much. Teams must embed data management into domain teams so team members can execute the proper activities without overwhelming.

Developing a shared responsibility model is the way to govern data and clarify expected roles within the data mesh. We must put together the right mix of resources or risk getting nowhere.

Working Through the Data Mesh Principles

If working through the principles seems challenging, that’s because it’s no easy feat. The principles intertwine, and each one is necessary to address any potential problems or risks that could happen in another. The data mesh principles are not easy to operate, and the only real solution to that problem is to make them work together.

When these four principles are mapped out together and executed correctly, you’ll have streamlined, seamless results that address many of the issues that come up in the data mesh architecture solution. The data mesh principles are advanced, but with the right team in place, companies can execute them in a way that makes them work to store and manage data on a whole new level.

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