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Aligning Digital Transformation Efforts with Business Objectives Delivers Greater Results

Gaurav Rewari
Digital.ai

When carried out as part of a business-wide and aligned strategy, digital transformation initiatives can have a very positive impact on software development. However, a recent survey found those advancing digital transformation efforts without ensuring complete alignment within their business will not succeed in achieving their overarching objectives.

More than 600 IT and security decision makers were asked about their digital transformation journeys, and although the majority were fairly positive about their efforts, the profitability of these initiatives were brought into question as the efforts fell significantly short of established goals. In short — businesses implementing digital transformation are not sufficiently linking their developments to their business objectives and are therefore not hitting the mark on improving their software or their customer satisfaction.

Assessing Feedback

Despite the huge number of businesses committing to a digital transformation journey, there are many who believe they could be getting more for their money. According to the report, 91% of respondents said they need to get more out of their initiatives in terms of customer satisfaction, and 56% are worried about the return on investment (ROI).

There is also a misalignment between product development and business goals, evidenced by the mere 57% of respondents who believe they are doing a good job prioritising products and investments based on business goals. It is clear more needs to be done at both the business and product development levels amongst the various teams, particularly around linking digital efforts to business objectives. In fact, 94% feel they need greater overall alignment within the company across the different departments.

Looking beyond this, and perhaps more worryingly, only 60% of leaders believed their organisations were customer-centric. There is a very clear gap, for some businesses, between wanting to understand how to improve their overall outcomes and not knowing where to start. And this is already having detrimental effects, as nearly half (40%) of respondents do not believe they are completely customer focused.

A failure to fully align digital transformation efforts with business-wide goals will result in continued disconnect across the entire company. Visibility is crucial, but 99% of respondents said they believed they needed to gain greater visibility into the business planning processes. Without this clarity, disconnect will continue and further consequences will occur. Our survey revealed that 54% were concerned about not being able to meet the needs of their customers as a result of ineffective digital transformation approaches, which could prove to have long term damages to the business.

One Company, One Set of Goals

From the start of a digital transformation journey, every area of business, IT and security must be involved. End-to-end visibility is one of the fundamental elements a company needs to improve their digitalisation strategies. Breaking down silo walls and bringing together input from all departments will lead to a more cohesive and effective approach. Value Stream Management (VSM), as a process that aligns all software development and delivery efforts with business objectives, can help deliver and strengthen this visibility. VSM focuses on producing measurable value created by software development, with examples being satisfied customers and bigger returns on investment.

Currently, a mere 54% confidently say that their business, IT and security teams are strategically aligned and working towards the same goals and objectives. There are a number of data and management investments that businesses could consider in order to embark on their VSM journey and improve alignment across the entire business:

Flow acceleration – proactively identify and eliminate bottlenecks and non-value-added work to improve productivity and reduce costs.

Quality improvement – proactively find and fix systemic issues with software quality across the development lifecycle, before they impact delivery.

Change risk prediction – identify risky changes and proactively take steps to manage and reduce risk or prepare immediate remediation.

Service management process optimization – adopt proven analytics-driven best practices for improved incident, problem, and IT service request management.

These options should be available for all departments to ensure everyone is using the same information and working towards the same set of goals.

Currently, only 53% of respondents feel their business and software value streams are aligned, meaning there is plenty of room for improvement. In fact, companies across the nation have barely scratched the surface of digital transformation possibilities, and there is a long road ahead for some. At every stage though, it is vital to maintain a high level of visibility and ensure all objectives are agreed across the entire business. Once all departments come together, the digital strategies will become far more successful and deliver the results needed. Long gone will be the concerns around performance and security, and businesses can have more confidence in their progress towards a digital future.

Gaurav Rewari is CTO & GM, AI & VSM Platform, at Digital.ai

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Aligning Digital Transformation Efforts with Business Objectives Delivers Greater Results

Gaurav Rewari
Digital.ai

When carried out as part of a business-wide and aligned strategy, digital transformation initiatives can have a very positive impact on software development. However, a recent survey found those advancing digital transformation efforts without ensuring complete alignment within their business will not succeed in achieving their overarching objectives.

More than 600 IT and security decision makers were asked about their digital transformation journeys, and although the majority were fairly positive about their efforts, the profitability of these initiatives were brought into question as the efforts fell significantly short of established goals. In short — businesses implementing digital transformation are not sufficiently linking their developments to their business objectives and are therefore not hitting the mark on improving their software or their customer satisfaction.

Assessing Feedback

Despite the huge number of businesses committing to a digital transformation journey, there are many who believe they could be getting more for their money. According to the report, 91% of respondents said they need to get more out of their initiatives in terms of customer satisfaction, and 56% are worried about the return on investment (ROI).

There is also a misalignment between product development and business goals, evidenced by the mere 57% of respondents who believe they are doing a good job prioritising products and investments based on business goals. It is clear more needs to be done at both the business and product development levels amongst the various teams, particularly around linking digital efforts to business objectives. In fact, 94% feel they need greater overall alignment within the company across the different departments.

Looking beyond this, and perhaps more worryingly, only 60% of leaders believed their organisations were customer-centric. There is a very clear gap, for some businesses, between wanting to understand how to improve their overall outcomes and not knowing where to start. And this is already having detrimental effects, as nearly half (40%) of respondents do not believe they are completely customer focused.

A failure to fully align digital transformation efforts with business-wide goals will result in continued disconnect across the entire company. Visibility is crucial, but 99% of respondents said they believed they needed to gain greater visibility into the business planning processes. Without this clarity, disconnect will continue and further consequences will occur. Our survey revealed that 54% were concerned about not being able to meet the needs of their customers as a result of ineffective digital transformation approaches, which could prove to have long term damages to the business.

One Company, One Set of Goals

From the start of a digital transformation journey, every area of business, IT and security must be involved. End-to-end visibility is one of the fundamental elements a company needs to improve their digitalisation strategies. Breaking down silo walls and bringing together input from all departments will lead to a more cohesive and effective approach. Value Stream Management (VSM), as a process that aligns all software development and delivery efforts with business objectives, can help deliver and strengthen this visibility. VSM focuses on producing measurable value created by software development, with examples being satisfied customers and bigger returns on investment.

Currently, a mere 54% confidently say that their business, IT and security teams are strategically aligned and working towards the same goals and objectives. There are a number of data and management investments that businesses could consider in order to embark on their VSM journey and improve alignment across the entire business:

Flow acceleration – proactively identify and eliminate bottlenecks and non-value-added work to improve productivity and reduce costs.

Quality improvement – proactively find and fix systemic issues with software quality across the development lifecycle, before they impact delivery.

Change risk prediction – identify risky changes and proactively take steps to manage and reduce risk or prepare immediate remediation.

Service management process optimization – adopt proven analytics-driven best practices for improved incident, problem, and IT service request management.

These options should be available for all departments to ensure everyone is using the same information and working towards the same set of goals.

Currently, only 53% of respondents feel their business and software value streams are aligned, meaning there is plenty of room for improvement. In fact, companies across the nation have barely scratched the surface of digital transformation possibilities, and there is a long road ahead for some. At every stage though, it is vital to maintain a high level of visibility and ensure all objectives are agreed across the entire business. Once all departments come together, the digital strategies will become far more successful and deliver the results needed. Long gone will be the concerns around performance and security, and businesses can have more confidence in their progress towards a digital future.

Gaurav Rewari is CTO & GM, AI & VSM Platform, at Digital.ai

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 ...