Skip to main content

Transform Customer Service Into a Connected Digital Experience

Holly Simmons

There's no denying it, the world of customer service is changing. So much so that businesses around the globe are rethinking how they approach customer service and are looking at new strategies. Recognizing that the old way of handling customer service interactions is no longer enough, many forward-thinking businesses are turning to digital technologies that connect people, systems, and workflows across the entire organization. Considering that nearly half of US consumers have switched service providers in the past year due to poor service, businesses would be wise to take a closer look at what's driving the changes in customer service and what they can do to keep up.

Even with the rising demand for quality service and research indicating that customer service is a strong competitive differentiator, companies still struggle with reinventing their customer service operations.

Today's customers are knowledgeable and connected. They don't just want good service; rather they expect a personalized, seamless, end-to-end experience with proactive and efficient service from proficient agents. Yet, most companies aren't focused on what the customer desires. Instead, organizations are siloed and processes are frequently disconnected, resulting in a sub-optimal experience for the customer. Most service to date has been focused on front-end engagement, the tip of the iceberg, but ignores what happens “under water”. The latter is where companies can differentiate by becoming a connected enterprise.

Traditional CRM systems have been managing individual customer interactions, but a modern customer management system connects the whole enterprise – customers, employees, and partners. This allows customer service teams to respond immediately to customer requests, deliver effortless service, and anticipate problems before they happen. To start on the path to becoming a connected enterprise, organizations should consider self-service strategies, make customer service a priority across all departments, and transform from reactive to proactive service. The following looks at each of these areas in more detail.

Connect Processes: Self-Service and Automation Save the Day

Today customer service agents fail to answer customer questions up to 50 percent of the time. With little resources to find answers and resolve issues themselves, customers are left feeling frustrated. At the same time, customer service agents spend hours each week buried under manual processes and fielding recurring questions. These inefficiencies are felt by both sides.

With self-service and automation, companies can cut costs while improving customer satisfaction and freeing up customer service teams to focus on more strategic work. In fact, a recent Deloitte survey reveals that 83 percent of respondents expect higher use of web self-services going forward. By moving routine inquiries such as password resets, address changes, or product questions to a self-service portal, community, or knowledgebase, customer service organizations can empower their customers to get the answers they need.

With automation and machine learning, companies can get requests to the right agents and field technicians more quickly. With automated workflows, companies can streamline and connect complex processes, such as insurance claims processing or loan approvals, through multiple departments or external partners.

Connect Teams: Break Down Barriers To Drive Accountability

To be truly customer-centric, everyone within the organization should be collaborating and working to support customer requests and resolve issues. Too often, customer service operates independently from other parts of the business with little to no connection with operations, field service, finance or product development.

When departments are siloed it's difficult to drive accountability. According to Accenture Strategy, the lack of cross-organizational integration is an oft-cited barrier to successful delivery of a superior customer experience. Problems aren't fixed and customers suffer from the inefficiencies of disconnected interactions. All processes, data sources, and business functions need to be connected, and working together to reach final resolution efficiently and effectively. The quality of service, as well as the quality of the company's products and services, improve thus increasing customer satisfaction and loyalty.

Connect Technology and Systems: Move From Reactive to Proactive Service

Ideally, organizations want to get ahead of potential issues that might affect customers. This proactive approach to customer service gives businesses the ability to predict what customers will need rather than always reactiving. Companies can do this through the use of performance analytics and the Internet of Things (IoT). In fact, the IoT is the fastest-growing area of digital investment for B2B customer service organizations and is leading the way in providing more efficient customer service. Performance analytics can help customer service predict trends to act on. For example, analytics might show that a specific issue is recurring at a high frequency and can be automated for immediate efficiencies. Or proactively review service costs to see where adjustments can be made to improve the business.

The customer service needs of today have surpassed what traditional customer service tools and support can give. To meet the increasing demands placed on customer service, a new approach to customer management is imminent. Doing so will allow organizations to provide proactive service that breaks down barriers between departments while improving the quality of the service. By capitalizing on innovative technologies, companies will see improved efficiency, reduced costs, more engaged employees, and what's more, they will be able to meet the high expectations of today's customers.

The Latest

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

Chris Steffen and Ken Buckler from EMA discuss the Cloudflare outage and what availability means in the technology space ...

Every modern industry is confronting the same challenge: human reaction time is no longer fast enough for real-time decision environments. Across sectors, from financial services to manufacturing to cybersecurity and beyond, the stakes mirror those of autonomous vehicles — systems operating in complex, high-risk environments where milliseconds matter ...

Transform Customer Service Into a Connected Digital Experience

Holly Simmons

There's no denying it, the world of customer service is changing. So much so that businesses around the globe are rethinking how they approach customer service and are looking at new strategies. Recognizing that the old way of handling customer service interactions is no longer enough, many forward-thinking businesses are turning to digital technologies that connect people, systems, and workflows across the entire organization. Considering that nearly half of US consumers have switched service providers in the past year due to poor service, businesses would be wise to take a closer look at what's driving the changes in customer service and what they can do to keep up.

Even with the rising demand for quality service and research indicating that customer service is a strong competitive differentiator, companies still struggle with reinventing their customer service operations.

Today's customers are knowledgeable and connected. They don't just want good service; rather they expect a personalized, seamless, end-to-end experience with proactive and efficient service from proficient agents. Yet, most companies aren't focused on what the customer desires. Instead, organizations are siloed and processes are frequently disconnected, resulting in a sub-optimal experience for the customer. Most service to date has been focused on front-end engagement, the tip of the iceberg, but ignores what happens “under water”. The latter is where companies can differentiate by becoming a connected enterprise.

Traditional CRM systems have been managing individual customer interactions, but a modern customer management system connects the whole enterprise – customers, employees, and partners. This allows customer service teams to respond immediately to customer requests, deliver effortless service, and anticipate problems before they happen. To start on the path to becoming a connected enterprise, organizations should consider self-service strategies, make customer service a priority across all departments, and transform from reactive to proactive service. The following looks at each of these areas in more detail.

Connect Processes: Self-Service and Automation Save the Day

Today customer service agents fail to answer customer questions up to 50 percent of the time. With little resources to find answers and resolve issues themselves, customers are left feeling frustrated. At the same time, customer service agents spend hours each week buried under manual processes and fielding recurring questions. These inefficiencies are felt by both sides.

With self-service and automation, companies can cut costs while improving customer satisfaction and freeing up customer service teams to focus on more strategic work. In fact, a recent Deloitte survey reveals that 83 percent of respondents expect higher use of web self-services going forward. By moving routine inquiries such as password resets, address changes, or product questions to a self-service portal, community, or knowledgebase, customer service organizations can empower their customers to get the answers they need.

With automation and machine learning, companies can get requests to the right agents and field technicians more quickly. With automated workflows, companies can streamline and connect complex processes, such as insurance claims processing or loan approvals, through multiple departments or external partners.

Connect Teams: Break Down Barriers To Drive Accountability

To be truly customer-centric, everyone within the organization should be collaborating and working to support customer requests and resolve issues. Too often, customer service operates independently from other parts of the business with little to no connection with operations, field service, finance or product development.

When departments are siloed it's difficult to drive accountability. According to Accenture Strategy, the lack of cross-organizational integration is an oft-cited barrier to successful delivery of a superior customer experience. Problems aren't fixed and customers suffer from the inefficiencies of disconnected interactions. All processes, data sources, and business functions need to be connected, and working together to reach final resolution efficiently and effectively. The quality of service, as well as the quality of the company's products and services, improve thus increasing customer satisfaction and loyalty.

Connect Technology and Systems: Move From Reactive to Proactive Service

Ideally, organizations want to get ahead of potential issues that might affect customers. This proactive approach to customer service gives businesses the ability to predict what customers will need rather than always reactiving. Companies can do this through the use of performance analytics and the Internet of Things (IoT). In fact, the IoT is the fastest-growing area of digital investment for B2B customer service organizations and is leading the way in providing more efficient customer service. Performance analytics can help customer service predict trends to act on. For example, analytics might show that a specific issue is recurring at a high frequency and can be automated for immediate efficiencies. Or proactively review service costs to see where adjustments can be made to improve the business.

The customer service needs of today have surpassed what traditional customer service tools and support can give. To meet the increasing demands placed on customer service, a new approach to customer management is imminent. Doing so will allow organizations to provide proactive service that breaks down barriers between departments while improving the quality of the service. By capitalizing on innovative technologies, companies will see improved efficiency, reduced costs, more engaged employees, and what's more, they will be able to meet the high expectations of today's customers.

The Latest

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

Chris Steffen and Ken Buckler from EMA discuss the Cloudflare outage and what availability means in the technology space ...

Every modern industry is confronting the same challenge: human reaction time is no longer fast enough for real-time decision environments. Across sectors, from financial services to manufacturing to cybersecurity and beyond, the stakes mirror those of autonomous vehicles — systems operating in complex, high-risk environments where milliseconds matter ...