Skip to main content

Digital Transformation Strategies for 2022: How a Few Small Steps Can Lead to Big Wins in the Year Ahead

Lee Frederiksen
Hinge

Nearly every professional services firm has a digital transformation agenda for 2022 and beyond. Whether that "agenda" is a loosely defined idea — or a finely honed roadmap to success — will vary from organization to organization.

But one thing is absolutely clear: Professional services firms have some catching up to do in the digital transformation department. According to the Hinge Digital Transformation Imperative report, "three out of four professional services firms score low on the digital maturity scale."


So, how do firms start catching up with their digital transformations, and how do they do it without shooting themselves in the foot? At Hinge, we recommend starting with a few small steps.

1. Understand What It Takes to Reap the Benefits of Digital Transformation

Before embarking on any digital transformation journey, learning the basics of digital transformation, its benefits, and what it takes to be successful is key. Understanding the following key findings from the Hinge Digital Transformation Imperative report is a great place to start.

What are the benefits of digital transformation?

Hinge research identified five core benefits that businesses consistently realize from implementing a digital transformation:

■ 76.4% increased operational efficiency

■ 70.2% increased client satisfaction

■ 68.6% increased awareness

■ 63.7% increased revenue

■ 60.8% increased profitability

What skills and knowledge are crucial for a successful transformation, and does your firm have them internally?

The report's findings show that ideation, back-end integration, and infrastructure integration are the key digital transformation skills that firms are lacking.

What are the keys to a successful transformation?

The use of a third-party digital transformation consultant helps many firms overcome their lack of skills to achieve digital transformation success. According to the report, firms that hire third-party experts are seven times more likely to have successful digital transformations compared to firms that handled the process internally. Third-party experts can provide the knowledge and experience to get it right the first time, the top criteria most respondents cited when asked about the most important criteria for selecting third-party providers.

2. Ask the Right Questions to Clarify Your Digital Transformation Plan

Asking the right questions before you begin a digital transformation will help you clarify your goals, determine whether specific technologies will help you achieve those goals, and what you will need to successfully carry out the transformation.

We recommend sitting down with your team to answer the following:

■ Is the technology available from a service that your firm already subscribes to? Avoid accidentally incurring extra expenses for redundant solutions that you can already access through another provider.

■ What are the potential risks or disadvantages and downsides of the technology?

■ Will the technology create any regulatory or data compliance challenges?

■ What administrative burdens does the strategy come with?

■ Does the new technology require special skills to manage/operate?

■ Will you need to hire new employees for the strategy?

■ Will you need to train existing employees to use the new strategy?

■ Will the new technology eliminate existing staff member roles?

■ Will your existing WAN infrastructure support the technology?

■ Will remote teams have sufficient internet connectivity at home?

■ What production assets need to be taken offline to implement the technology — and how long will they be offline?

■ How much time and labor is needed to design and implement the strategy?

■ What costs (based on short-term and long-term timeframes) will the strategy create or eliminate? In other words, how much money do you plan to save or spend as a result of the strategy?

3. Try These Digital Transformation Wins for Professional Services Firms

Every professional services firm will have different ideas and goals for their digital transformations, but if you're looking for inspiration, you might want to consider the following easy-to-implement digital transformation strategies:

1. Move dev-test apps to the cloud

Dev-test apps are non-operational assets, so moving them to a cloud hosting environment will not threaten critical systems. Also, developers are not working on dev-test apps around the clock, so there's no need to pay the fees for on-site hosting while these non-operational assets lie idle. With a cloud-hosted app testing environment, you pay only for the hosting hours you need—and that can translate into tremendous savings.

A move like this will save on costs and support remote teams. Also, when dev-test apps are already native to the cloud, it makes it easier to keep the final product in the cloud, which supports further digital transformation efforts. This is a low-risk digital transformation with little-to-no downside potential. So why not give it a try?

2. Migrate backup data to the cloud

While you're moving non-operational assets to the cloud, consider moving backup data too. Many firms are storing terabytes — even petabytes — of backup information for data analysis or legal and compliance requirements, but they rarely need to access this information.

Because it's non-operational data, taking a backup data system offline to migrate the information to a low-cost cloud data storage solution doesn't present an operational risk. However, it could save your firm a lot of unnecessary costs by dramatically reducing the need for expensive on-premises data storage systems. Cloud storage also increases security, supports remote teams, and achieves better storage redundancy.

A Final Thought

After reading this article, you should have a basic launchpad for setting up your digital transformation efforts. Of course, you don't have to go through this process alone. The Hinge team is available to guide you through every step of your digital transformation journey. From the first small steps—to the biggest leaps along the way—we'll help you pinpoint and leverage the most effective strategies for your industry and use cases. 

Lee W. Frederiksen, Ph.D., is Managing Partner at Hinge

The Latest

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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 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.

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 ...

Digital Transformation Strategies for 2022: How a Few Small Steps Can Lead to Big Wins in the Year Ahead

Lee Frederiksen
Hinge

Nearly every professional services firm has a digital transformation agenda for 2022 and beyond. Whether that "agenda" is a loosely defined idea — or a finely honed roadmap to success — will vary from organization to organization.

But one thing is absolutely clear: Professional services firms have some catching up to do in the digital transformation department. According to the Hinge Digital Transformation Imperative report, "three out of four professional services firms score low on the digital maturity scale."


So, how do firms start catching up with their digital transformations, and how do they do it without shooting themselves in the foot? At Hinge, we recommend starting with a few small steps.

1. Understand What It Takes to Reap the Benefits of Digital Transformation

Before embarking on any digital transformation journey, learning the basics of digital transformation, its benefits, and what it takes to be successful is key. Understanding the following key findings from the Hinge Digital Transformation Imperative report is a great place to start.

What are the benefits of digital transformation?

Hinge research identified five core benefits that businesses consistently realize from implementing a digital transformation:

■ 76.4% increased operational efficiency

■ 70.2% increased client satisfaction

■ 68.6% increased awareness

■ 63.7% increased revenue

■ 60.8% increased profitability

What skills and knowledge are crucial for a successful transformation, and does your firm have them internally?

The report's findings show that ideation, back-end integration, and infrastructure integration are the key digital transformation skills that firms are lacking.

What are the keys to a successful transformation?

The use of a third-party digital transformation consultant helps many firms overcome their lack of skills to achieve digital transformation success. According to the report, firms that hire third-party experts are seven times more likely to have successful digital transformations compared to firms that handled the process internally. Third-party experts can provide the knowledge and experience to get it right the first time, the top criteria most respondents cited when asked about the most important criteria for selecting third-party providers.

2. Ask the Right Questions to Clarify Your Digital Transformation Plan

Asking the right questions before you begin a digital transformation will help you clarify your goals, determine whether specific technologies will help you achieve those goals, and what you will need to successfully carry out the transformation.

We recommend sitting down with your team to answer the following:

■ Is the technology available from a service that your firm already subscribes to? Avoid accidentally incurring extra expenses for redundant solutions that you can already access through another provider.

■ What are the potential risks or disadvantages and downsides of the technology?

■ Will the technology create any regulatory or data compliance challenges?

■ What administrative burdens does the strategy come with?

■ Does the new technology require special skills to manage/operate?

■ Will you need to hire new employees for the strategy?

■ Will you need to train existing employees to use the new strategy?

■ Will the new technology eliminate existing staff member roles?

■ Will your existing WAN infrastructure support the technology?

■ Will remote teams have sufficient internet connectivity at home?

■ What production assets need to be taken offline to implement the technology — and how long will they be offline?

■ How much time and labor is needed to design and implement the strategy?

■ What costs (based on short-term and long-term timeframes) will the strategy create or eliminate? In other words, how much money do you plan to save or spend as a result of the strategy?

3. Try These Digital Transformation Wins for Professional Services Firms

Every professional services firm will have different ideas and goals for their digital transformations, but if you're looking for inspiration, you might want to consider the following easy-to-implement digital transformation strategies:

1. Move dev-test apps to the cloud

Dev-test apps are non-operational assets, so moving them to a cloud hosting environment will not threaten critical systems. Also, developers are not working on dev-test apps around the clock, so there's no need to pay the fees for on-site hosting while these non-operational assets lie idle. With a cloud-hosted app testing environment, you pay only for the hosting hours you need—and that can translate into tremendous savings.

A move like this will save on costs and support remote teams. Also, when dev-test apps are already native to the cloud, it makes it easier to keep the final product in the cloud, which supports further digital transformation efforts. This is a low-risk digital transformation with little-to-no downside potential. So why not give it a try?

2. Migrate backup data to the cloud

While you're moving non-operational assets to the cloud, consider moving backup data too. Many firms are storing terabytes — even petabytes — of backup information for data analysis or legal and compliance requirements, but they rarely need to access this information.

Because it's non-operational data, taking a backup data system offline to migrate the information to a low-cost cloud data storage solution doesn't present an operational risk. However, it could save your firm a lot of unnecessary costs by dramatically reducing the need for expensive on-premises data storage systems. Cloud storage also increases security, supports remote teams, and achieves better storage redundancy.

A Final Thought

After reading this article, you should have a basic launchpad for setting up your digital transformation efforts. Of course, you don't have to go through this process alone. The Hinge team is available to guide you through every step of your digital transformation journey. From the first small steps—to the biggest leaps along the way—we'll help you pinpoint and leverage the most effective strategies for your industry and use cases. 

Lee W. Frederiksen, Ph.D., is Managing Partner at Hinge

The Latest

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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 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.

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 ...