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IT Execs Struggling with Transition to Digital Business Model

Pete Goldin
APMdigest

IT and business professionals in the US and Europe understand the value of adopting a digital business model but struggle to find the best way to engineer it to deliver the greatest value to employees and customers, according to new research from Unisys Corporation.

The digital business model represents the convergence of social technology, cloud, mobility, data analytics and security to drive new business models and engage, enable and support an increasingly tech-savvy workforce and customer base. The IT infrastructure enabling digital business transformation must be flexible and scalable on demand.

The 188 respondents to the survey – conducted for Unisys by IDG Research – appreciate that digital business transformation provides the key to elevating levels of service to those demanding internal and external constituencies: 55 percent cite that service requirement as their key challenge for 2016.

In addition, nearly two-thirds (65 percent) of respondents consider it highly important for their organizations to modify technology, IT processes or IT resources over the next 12 months to implement digital business, focusing especially on five key priority areas: mobile application development, cloud deployment, social media, data analytics and security.

Yet 54 percent assess their organization's progress toward a digital-business model that delivers on user expectations as average or below average (32 and 22 percent, respectively), while 45 percent rate progress above average.

In addition, less than 20 percent of respondents who rate each of the five IT focus areas as critical or high priority for digital-business implementation report significant progress in any one area. Few indicate that their organization is ready to meet customer expectations over the next 12 months: only 41 percent indicate that their technology or infrastructure is prepared, while 40 percent and 39 percent, respectively, rate their IT skill sets and security/compliance strategies as adequate.

Respondents who consider each of the 5 IT initiatives as at least a moderate priority report the greatest progress in two key areas: 69 percent cite at least some progress in both mobile application development and cloud deployment, but cite less significant progress in social media, data analytics and security.

Making Progress

"Digital business can be a powerful force for enhanced productivity and competitive differentiation in a crowded marketplace," said Dan Huberty, VP, Vision, Strategy and Enterprise Architecture, Unisys. "However, the window for seizing the initiative is rapidly narrowing. Smart IT organizations must take steps now to implement a concerted digital-business strategy and infrastructure or risk missing a golden opportunity for innovation and growth."

Many respondents to the survey indicate that their organizations are making progress in areas crucial for delivering the benefits of digital business. For example, a third (34 percent) of respondents say that their organizations are struggling to deliver improved end-user and customer experiences, but 70 percent indicate that they are delivering persona-based service to support internal IT users (and another 15 percent of respondents would like to do so).

Persona-based services are personalized to the job or service requirements of a specific role, extending to internal users the principles of customer relationship management (CRM) that normally apply to external customers. The digital business model is a natural vehicle for CRM and other applications that rely on unified delivery of personalized, integrated information from multiple sources.

Digital businesses perform best when they transform into software-defined enterprises in which key enabling technologies are based on and connected through software to enable greater flexibility and scalability at lower cost than hardware-heavy data centers – the traditional hubs of enterprise IT. Service management for personalized delivery of vital productivity services and service integration and management for cost-efficient coordination of multiple external service providers are key to the success of the software-defined digital business.

Survey Methodology: IDG Research conducted the survey on Unisys' behalf in September and October 2015. The results are based on responses from 188 IT directors and vice-presidents in non-IT roles working for international organizations with 500-plus employees and US organizations of 1,000-plus employees. The respondents were based in the US, UK and Germany.

Pete Goldin is Editor and Publisher of APMdigest

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IT Execs Struggling with Transition to Digital Business Model

Pete Goldin
APMdigest

IT and business professionals in the US and Europe understand the value of adopting a digital business model but struggle to find the best way to engineer it to deliver the greatest value to employees and customers, according to new research from Unisys Corporation.

The digital business model represents the convergence of social technology, cloud, mobility, data analytics and security to drive new business models and engage, enable and support an increasingly tech-savvy workforce and customer base. The IT infrastructure enabling digital business transformation must be flexible and scalable on demand.

The 188 respondents to the survey – conducted for Unisys by IDG Research – appreciate that digital business transformation provides the key to elevating levels of service to those demanding internal and external constituencies: 55 percent cite that service requirement as their key challenge for 2016.

In addition, nearly two-thirds (65 percent) of respondents consider it highly important for their organizations to modify technology, IT processes or IT resources over the next 12 months to implement digital business, focusing especially on five key priority areas: mobile application development, cloud deployment, social media, data analytics and security.

Yet 54 percent assess their organization's progress toward a digital-business model that delivers on user expectations as average or below average (32 and 22 percent, respectively), while 45 percent rate progress above average.

In addition, less than 20 percent of respondents who rate each of the five IT focus areas as critical or high priority for digital-business implementation report significant progress in any one area. Few indicate that their organization is ready to meet customer expectations over the next 12 months: only 41 percent indicate that their technology or infrastructure is prepared, while 40 percent and 39 percent, respectively, rate their IT skill sets and security/compliance strategies as adequate.

Respondents who consider each of the 5 IT initiatives as at least a moderate priority report the greatest progress in two key areas: 69 percent cite at least some progress in both mobile application development and cloud deployment, but cite less significant progress in social media, data analytics and security.

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"Digital business can be a powerful force for enhanced productivity and competitive differentiation in a crowded marketplace," said Dan Huberty, VP, Vision, Strategy and Enterprise Architecture, Unisys. "However, the window for seizing the initiative is rapidly narrowing. Smart IT organizations must take steps now to implement a concerted digital-business strategy and infrastructure or risk missing a golden opportunity for innovation and growth."

Many respondents to the survey indicate that their organizations are making progress in areas crucial for delivering the benefits of digital business. For example, a third (34 percent) of respondents say that their organizations are struggling to deliver improved end-user and customer experiences, but 70 percent indicate that they are delivering persona-based service to support internal IT users (and another 15 percent of respondents would like to do so).

Persona-based services are personalized to the job or service requirements of a specific role, extending to internal users the principles of customer relationship management (CRM) that normally apply to external customers. The digital business model is a natural vehicle for CRM and other applications that rely on unified delivery of personalized, integrated information from multiple sources.

Digital businesses perform best when they transform into software-defined enterprises in which key enabling technologies are based on and connected through software to enable greater flexibility and scalability at lower cost than hardware-heavy data centers – the traditional hubs of enterprise IT. Service management for personalized delivery of vital productivity services and service integration and management for cost-efficient coordination of multiple external service providers are key to the success of the software-defined digital business.

Survey Methodology: IDG Research conducted the survey on Unisys' behalf in September and October 2015. The results are based on responses from 188 IT directors and vice-presidents in non-IT roles working for international organizations with 500-plus employees and US organizations of 1,000-plus employees. The respondents were based in the US, UK and Germany.

Pete Goldin is Editor and Publisher of APMdigest

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For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...