The Essential Tools to Support Digital Transformation - Part 7

APMdigest asked experts from across the IT industry — from analysts and consultants to users and the top vendors — for their opinions on the essential tools to support digital transformation. Part 7, the last installment, offers some final thoughts about "tools" that are not necessarily technology.

Start with The Essential Tools to Support Digital Transformation - Part 1

Start with The Essential Tools to Support Digital Transformation - Part 2

Start with The Essential Tools to Support Digital Transformation - Part 3

Start with The Essential Tools to Support Digital Transformation - Part 4

Start with The Essential Tools to Support Digital Transformation - Part 5

Start with The Essential Tools to Support Digital Transformation - Part 6

APP STORE

The most important "tool" for enabling digital transformation is a rich enterprise business app store. Reaching prospects is key, so the app store should distribute apps that provide responsive support for customer retention and business intelligence for better decision-making.
Sridhar Iyengar
VP Product Management, ManageEngine

STRATEGIC PLAN

One of the most important tools in digital transformation is a strategic plan. All too often IT executives say, "We need to migrate to the cloud. We need to use containers and modernize our applications." But they haven't identified why they need cloud or container initiatives. They need to ask, "What is the business outcome we're hoping to achieve? What tools, services and solutions will help us achieve those goals?" Without a strategic plan focused on business outcome, any digital transformation initiative will be much more expensive and take far longer than necessary.
Guru Chahal
VP of Product, Avi Networks

PEOPLE

The philosopher in me would say: The most successful companies who make the shift to digital will be ones who understand that their people are their most important tool and subsequently organize them behind a unified picture of the future.
Ryan Lynn
VP Emerging Technology | Office of the CTO, Trace3

Talent is the #1 tool. It's part hiring, part development and part inspiration of Talent (culture) that sets an IT team apart from others. If you're not intentional with a very pointed people plan, you'll never transform digitally. Every time you look at the success or failure, it's due to the talent within.
Craig Williams
VP and CIO, Ciena

Having the right person is the most important tool needed to support digital transformation, which aims to provide end-users with frictionless consumption of services. The right person is always learning and adapting, communicating and collaborating efficaciously across multiple teams, and has a high EQ to handle change. Implementing new technology is the easiest aspect of digital transformation. Capable people are needed to successfully and continuously integrate and deliver value. To ensure that digital transformation provides frictionless consumption to the end-user, processes are required to ensure consistency of delivery, reliability of delivered services, and a normalized experience at scale alongside a proper monitoring toolset. The proper toolset encompasses logging, metrics, and tracing to provide observability into any given system. Observability is from control systems theory and is required for controllability. However, too much data can lead to paralysis by over analysis, and bad data can lead to bad decisions. The most important tool in digital transformation is people, who need to refine their foundational skills like monitoring with discipline (the DART-SOAR framework).
Kong Yang
Head Geek, SolarWinds

The must-have tool that an organization needs to support digital transformation is an "editable Org Chart," since the root cause of Digital Transformation failure most often has nothing to do with technology and everything to do with people and their ambitions, fears, skills, and passions. Tools are easy – people are hard.
Mark Campbell
CIO, Trace3

TEAM

When many people think of the tools required for digital transformation, they think of technology tools. However, often times the most important tool needed to succeed is the team of people that are going to implement those technologies. The people leading digital transformation at an organization are the most important asset needed to successfully implement any digital transformation plans. From the structure of the organization to the talents required by the members of the team, digital transformation initiatives require a different way of doing things from past approaches. Two key members of the team that may be new to some organizations are the Adoption Champion and the Product Owner. The Adoption Champion leads the evangelism effort around the new approach and tools being used in the initiative and is critical to maintaining momentum. The Product Owner brings a new business-goals-focused mindset to the typical application development project. Having a team of people that is focused on helping the business succeed is critical to the ultimate success of any digital transformation project.
Dan Juengst
Product Technology Evangelist, OutSystems

LEADERSHIP

Believe it or not, the essential tool for Digital Transformation is found in layers 8, 9, or 10 of the OSI model: Politics, or to be more precise, Sponsorship. Companies can overcome technical hurdles as they progress through their digital journey, but cannot be successful without strong and effective leadership from the top. Companies should not only support employees who are leading the transformation charge, but also actively suppress efforts that contradict digital transformation. To give a simplistic analogy: If a library is pursuing a digital transformation, it's not just about putting the book inventory online and scanning pages. It's also about turning down the request for new card catalog cabinet.
Leon Adato
Head Geek, SolarWinds

CULTURE

If you don't get the culture right, all the technology in the world won't help you be more responsive to your business. So the biggest "tool" to focus on first is actually the mindset of your teams.
Carmen DeArdo
DevOps Leader and Technology Director , Nationwide Insurance

As with any significant change, one of the biggest challenges to digital transformation is the need to change existing culture in order to accommodate three of the key imperatives it brings with it: speed, efficiency, and agility. From an IT perspective, If I had to pick a single specific aspect to focus on when implementing digital transformation, it would be creating a culture where automation and measurement of results — of everything from infrastructure to applications to business metrics — is so ingrained that it encourages and rewards innovation and change based on experimentation. In other words, having a culture that is set up for success with digital transformation is as important of a tool as any number of technologies.
Stephanos Bacon
Senior Director, Portfolio Strategy, Red Hat

The most important tool to support digital transformation is empathy amongst stakeholders, however that is a tool that has to be homegrown and is difficult to onboard across an entire organization.
Brian Dawson
DevOps Evangelist, CloudBees

CHANGE

Digital transformation isn't about the tools. Using the word more metaphorically, then, I'd say the most important tool is change. We say that the key to digital transformation success is making change a core competency of the organization. Change thus isn't simply a means to an end, or a description of a temporary phase between status quo and transformed future. Instead, change itself becomes the most important tool in the digital era toolbelt, to be applied liberally to every transformation challenge.
Jason Bloomberg
President, Intellyx

Related Links

Hot Topics

The Latest

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

MEAN TIME TO INSIGHT Podcast - Episode 23: NetOps Labor Shortage

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Cold Data, Hot Problem: Why AI Is Rewriting Enterprise Storage Strategy

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

Explainability Is the New Battleground in AI-Powered Observability

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

Empowering the Human Side of the Autonomous IT Age

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI Scale Is Outpacing Infrastructure - and IT Leaders Are Running Out of Time

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

No Escalations ≠ No Work: Why Visibility in DevOps Matters More Now That AI Is Accelerating Everything

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The Essential Tools to Support Digital Transformation - Part 7

APMdigest asked experts from across the IT industry — from analysts and consultants to users and the top vendors — for their opinions on the essential tools to support digital transformation. Part 7, the last installment, offers some final thoughts about "tools" that are not necessarily technology.

Start with The Essential Tools to Support Digital Transformation - Part 1

Start with The Essential Tools to Support Digital Transformation - Part 2

Start with The Essential Tools to Support Digital Transformation - Part 3

Start with The Essential Tools to Support Digital Transformation - Part 4

Start with The Essential Tools to Support Digital Transformation - Part 5

Start with The Essential Tools to Support Digital Transformation - Part 6

APP STORE

The most important "tool" for enabling digital transformation is a rich enterprise business app store. Reaching prospects is key, so the app store should distribute apps that provide responsive support for customer retention and business intelligence for better decision-making.
Sridhar Iyengar
VP Product Management, ManageEngine

STRATEGIC PLAN

One of the most important tools in digital transformation is a strategic plan. All too often IT executives say, "We need to migrate to the cloud. We need to use containers and modernize our applications." But they haven't identified why they need cloud or container initiatives. They need to ask, "What is the business outcome we're hoping to achieve? What tools, services and solutions will help us achieve those goals?" Without a strategic plan focused on business outcome, any digital transformation initiative will be much more expensive and take far longer than necessary.
Guru Chahal
VP of Product, Avi Networks

PEOPLE

The philosopher in me would say: The most successful companies who make the shift to digital will be ones who understand that their people are their most important tool and subsequently organize them behind a unified picture of the future.
Ryan Lynn
VP Emerging Technology | Office of the CTO, Trace3

Talent is the #1 tool. It's part hiring, part development and part inspiration of Talent (culture) that sets an IT team apart from others. If you're not intentional with a very pointed people plan, you'll never transform digitally. Every time you look at the success or failure, it's due to the talent within.
Craig Williams
VP and CIO, Ciena

Having the right person is the most important tool needed to support digital transformation, which aims to provide end-users with frictionless consumption of services. The right person is always learning and adapting, communicating and collaborating efficaciously across multiple teams, and has a high EQ to handle change. Implementing new technology is the easiest aspect of digital transformation. Capable people are needed to successfully and continuously integrate and deliver value. To ensure that digital transformation provides frictionless consumption to the end-user, processes are required to ensure consistency of delivery, reliability of delivered services, and a normalized experience at scale alongside a proper monitoring toolset. The proper toolset encompasses logging, metrics, and tracing to provide observability into any given system. Observability is from control systems theory and is required for controllability. However, too much data can lead to paralysis by over analysis, and bad data can lead to bad decisions. The most important tool in digital transformation is people, who need to refine their foundational skills like monitoring with discipline (the DART-SOAR framework).
Kong Yang
Head Geek, SolarWinds

The must-have tool that an organization needs to support digital transformation is an "editable Org Chart," since the root cause of Digital Transformation failure most often has nothing to do with technology and everything to do with people and their ambitions, fears, skills, and passions. Tools are easy – people are hard.
Mark Campbell
CIO, Trace3

TEAM

When many people think of the tools required for digital transformation, they think of technology tools. However, often times the most important tool needed to succeed is the team of people that are going to implement those technologies. The people leading digital transformation at an organization are the most important asset needed to successfully implement any digital transformation plans. From the structure of the organization to the talents required by the members of the team, digital transformation initiatives require a different way of doing things from past approaches. Two key members of the team that may be new to some organizations are the Adoption Champion and the Product Owner. The Adoption Champion leads the evangelism effort around the new approach and tools being used in the initiative and is critical to maintaining momentum. The Product Owner brings a new business-goals-focused mindset to the typical application development project. Having a team of people that is focused on helping the business succeed is critical to the ultimate success of any digital transformation project.
Dan Juengst
Product Technology Evangelist, OutSystems

LEADERSHIP

Believe it or not, the essential tool for Digital Transformation is found in layers 8, 9, or 10 of the OSI model: Politics, or to be more precise, Sponsorship. Companies can overcome technical hurdles as they progress through their digital journey, but cannot be successful without strong and effective leadership from the top. Companies should not only support employees who are leading the transformation charge, but also actively suppress efforts that contradict digital transformation. To give a simplistic analogy: If a library is pursuing a digital transformation, it's not just about putting the book inventory online and scanning pages. It's also about turning down the request for new card catalog cabinet.
Leon Adato
Head Geek, SolarWinds

CULTURE

If you don't get the culture right, all the technology in the world won't help you be more responsive to your business. So the biggest "tool" to focus on first is actually the mindset of your teams.
Carmen DeArdo
DevOps Leader and Technology Director , Nationwide Insurance

As with any significant change, one of the biggest challenges to digital transformation is the need to change existing culture in order to accommodate three of the key imperatives it brings with it: speed, efficiency, and agility. From an IT perspective, If I had to pick a single specific aspect to focus on when implementing digital transformation, it would be creating a culture where automation and measurement of results — of everything from infrastructure to applications to business metrics — is so ingrained that it encourages and rewards innovation and change based on experimentation. In other words, having a culture that is set up for success with digital transformation is as important of a tool as any number of technologies.
Stephanos Bacon
Senior Director, Portfolio Strategy, Red Hat

The most important tool to support digital transformation is empathy amongst stakeholders, however that is a tool that has to be homegrown and is difficult to onboard across an entire organization.
Brian Dawson
DevOps Evangelist, CloudBees

CHANGE

Digital transformation isn't about the tools. Using the word more metaphorically, then, I'd say the most important tool is change. We say that the key to digital transformation success is making change a core competency of the organization. Change thus isn't simply a means to an end, or a description of a temporary phase between status quo and transformed future. Instead, change itself becomes the most important tool in the digital era toolbelt, to be applied liberally to every transformation challenge.
Jason Bloomberg
President, Intellyx

Related Links

Hot Topics

The Latest

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

MEAN TIME TO INSIGHT Podcast - Episode 23: NetOps Labor Shortage

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Cold Data, Hot Problem: Why AI Is Rewriting Enterprise Storage Strategy

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

Explainability Is the New Battleground in AI-Powered Observability

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

Empowering the Human Side of the Autonomous IT Age

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI Scale Is Outpacing Infrastructure - and IT Leaders Are Running Out of Time

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

No Escalations ≠ No Work: Why Visibility in DevOps Matters More Now That AI Is Accelerating Everything

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...