Is your company one of the many in the middle of (or planning) a transformation? Then we need to talk.
We all know the digital era is forcing enterprises to experiment with everything from new hires to new business models. That many firms are busily revamping legacy infrastructure or adopting leading-edge technologies as part of the drive to keep up with digitally-driven change. And that a host of consultants, courses and solutions have emerged to help them on the way.
Venerable names like . Global spending on digital transformation technologies and services is tipped to .
The rise in worldwide spending on transformation


Clearly, then, thereās no lack of will, resources or collective brain power behind the transformation movement. Which begs the question: Why does it so often go wrong?
Any analysis of the overall results of transformation projects can make for sobering reading. One recent study found over half of . . And some of the worldās most iconic brands have grappled with unsuccessful transformation exercises, from the BBC, which in 2013 was forced to ; to General Electric, which recently announced the spinoff of its troubled GE Digital unit after it couldnāt guide the company out of a rough patch that saw
Key findings from Challenge of Change Report


Transformation is a complex process, and the reasons for failure are equally so. Some may be unique to the organization, or connected to forces outside the companyās control. But there are also some widely-held misconceptions about transformation that often stand in the way of enterprises aiming to become more agile and technologically empowered. Acknowledging the hard truths provides a head start in the effort to keep transformation on track.
Transforming doesnāt mean everyoneās doing the same thing
There is no doubt that itās vital for transformation to be driven by a sense of purpose, and that thereās shared alignment throughout the organization on an ultimate desired outcome thatās directly relevant to the business.
āOne of the more common mistakes Iāve seen is people diving into transformation without a business problem to solve, so itās transformation for transformationās sake,ā says ÷ČÓ°Ö±²„ Principal Consultant Brigid OāBrien. āThat means you miss the value metrics you really need to do something thatās meaningful for the customer and for the company.ā
At the same time, in seeking harmony companies shouldnāt lose sight of the fact that successful transformation is on many levels complex and diverse. Shared alignment doesnāt mean every team is necessarily doing similar things, or even being measured the same way.

"The organization essentially has to work on getting better at what it does at the same time itās doing what it does."
David Robinson, Business Transformation Principal, ÷ČÓ°Ö±²„
As David Robinson, Business Transformation Principal at ÷ČÓ°Ö±²„, notes, transformation projects need to be evaluated across two fundamental dimensions ā whether they create the desired value, and whether they continuously enhance the enterpriseās ability to create that value. āThe organization essentially has to work on getting better at what it does at the same time itās doing what it does.ā
Bolstering organizational capabilities is something that teams may contribute to in different ways. Speed ā the holy grail for many an enterprise ā is a good example.
In that it accelerates the delivery of value to customers, āa transformation program that is really focused on the idea of speeding everything up and allowing the company to iterate much quicker is extremely desirable,ā Robinson says. But in some divisions of the enterprise ā risk, or finance say - simply doing everything faster could be unnecessary, costly, even dangerous, and efficiency may be a better goal.
āOne of the key things about most transformations is that thereās no single measure of success,ā Robinson explains. āThere may be a few, depending on the part of the enterprise. Having clarity on what improvement in capability is needed for a certain part of the organization, and having very clear and transparent measures of success for that, enables progress.āĢż
Thereās no question that transformation should be based on a single vision and desired outcome that all teams strive to achieve. But teams may be working on initiatives gauged by different metrics to improve their capabilities to contribute to that outcome.
Effective transformations are built incrementally, with teams tasked with delivering the āhighest-value, lowest-effort change to get the benefit theyāre after, and doing it again and again,ā Robinson explains. āIn other words, donāt try to launch a really long, involved, big bang project to make all the changes you dream of ā do it incrementally so you can reap some of the benefits as you go, and keep in mind there may be multiple transformation goals.ā
One advantage of this approach is that it can ensure transformation is easily extended to functions that are rarely on the front lines, and often overlooked, in transformation initiatives. Most enterprises understand that cross-functional teams blending IT and the business are an important building block for transformation, but may see less of a need to involve compliance, HR or finance, when in fact they have an important role to play by dismantling barriers to change in their respective realms.
āIf youāre a function like risk or compliance, which is basically a gate for everybody, you impact the flow efficiency of an organization, so by improving the flow of work, youāre improving the effectiveness of that organization,ā says Jonathan Pangrazio, Principal Consultant at ÷ČÓ°Ö±²„. āYou should be in the (transformation) discussions, thinking about your function and operation, and the ways to open that gate while still maintaining some level of control.ā
āIntegrating HR and finance into the value stream and ensuring theyāre aligned with the delivery chain, helping them with standups and backlogs and ensuring they have their own sprints, helps them feel less like theyāre off somewhere separate looking at this foreign way of working,ā OāBrien says. āThat evolves to where finance and HR teams have an easy transition to developing their own engineering capability and their own features, like value to the internal customer.ā
This approach also means business leaders donāt need to agonize over mapping out the catch-all, universally applicable metrics by which a transformation project will be judged before it even gets off the ground.Ģż
"Even if you have a measure of success that is probably not ideal, cycle it a few times and see what you get, because as soon as you get some data, youāre going to have better insight. Maybe that insight is āthis metric sucksā ā but now we have a better idea of how we measure it differently."
āItās easy to fall into the trap of trying to drive for really good metrics,ā says Robinson. āSome organizations arenāt able to get all the way there, or they donāt have the data. Rather than analyzing that to death and beating everyone up over trying to perfect it, itās more important to start. Even if you have a measure of success that is probably not ideal, cycle it a few times and see what you get, because as soon as you get some data, youāre going to have better insight. Maybe that insight is āthis metric sucksā ā but now we have a better idea of how we measure it differently.ā
Transforming isnāt the only thing that matters
Transformations are by definition big, exciting and prone to capturing the lionās share of management attention. Small wonder everyone wants to be involved, and to make all things new the priority.
In all the excitement about game-changing new technologies or strategies, itās sometimes easy for ābusiness as usualā (BAU) processes to get lost or ignored. But transformation canāt, and shouldnāt, stand apart from BAU. In fact, to succeed on the strategic level, enterprises typically need to execute BAU much better ā not least because it accounts for such a massive share of resources.
In the typical organization, Robinson estimates, about 80% of technology spending goes to BAU, leaving just 20% to fund the strategic portfolio. Research illustrates the need to channel resources to BAU directly impacts more transformative projects; one global survey of IT and finance leaders that found over three-quarters (77%) feel the burden of ākeeping the lights onā spending ā i.e. . Thus many transformation initiatives grapple immediately with a resource gap.
Top roadblocks to innovation and business transformation


āIf you really want to find a way to make a difference and to invest in something new, youāve got to figure out how to stop spending so much on just taking care of what youāve already got,āĢżRobinson says. āThat requires improvements in efficiency, quality and managing technical debt.ā
Transformation is therefore a balancing act between facilitating change, and ensuring BAU is not neglected or deprived of resources to a degree that plants the seeds for bigger problems later on. It also requires understanding that, as Robinson puts it, āthere is no free lunchā ā that is, for every effort to learn something new, some amount of capacity and energy has to be reallocated and āother things arenāt happening, or arenāt happening as effectively as they were.ā
āA much better approach is a realization that we have to walk and chew gum at the same time,ā says Robinson. āItās absolutely necessary that we continually invest in improving our capability. But we make that a manageable investment, we dedicate a small amount of our capacity to that, so that we can continue to generate a constant stream of value for customers while changing and improving our ability to do so.ā
Transformation isnāt always horizontal
Balance is also required in terms of the leadership of a transformation program. Simplified, more horizontal structures in which management layers are reduced and everyone feels free to speak out about problems or opportunities can contribute to agility and therefore positive change. āBreaking down silos, moving decision rights from hierarchical, command-and-control type cultures into those that empower teams to make their own decisions, enables them to move faster,ā Robinson says.
Yet transformation in the truest sense is about changing the nature of the business ā and thatās massive, risky and unsettling enough an endeavor that āautonomy without directional leadership leads to chaos,ā Pangrazio says. āYou must set a direction, introduce clarity about where youāre going, and be working and managing to that.ā

"Autonomy without directional leadership leads to chaos. You must set a direction, introduce clarity about where youāre going, and be working and managing to that.ā
Jonathan Pangrazio, Principal Consultant, ÷ČÓ°Ö±²„
Transformation is thus best governed by a very particular kind of leadership. On the one hand, it should be bold and visionary enough to set the tone, rejig the lines of authority where necessary, and provide ācoverā for teams suddenly expected to make risky decisions. In public companies, the ācoverā role is even more critical, as any perceived failure could see the firm raked over the coals by investors or analysts.
This requires someone āhigh enough in the organization to provide air cover for the teams of people that theyāre asking to step out and take decisions that they previously didnāt have the rights to,ā says Robinson. ā(Teams) have to believe that theyāre not going to all get fired for a mistake. You have to have some kind of reasonable sponsorship who will be the blast shield from the blowback that happens when you inevitably fail and learn.ā
At the same time the transformation leader must be willing to remove themselves from decision-making processes where it serves the interests of agility and transparency.
āItās a very difficult place for executives to be, because itās not how theyāve been trained,ā OāBrien says. āOne of the more compelling steps a (transformation) leader can take is letting their teams and the organization know that they donāt have all the answers ā that theyāre relying on the team to solve problems. That they will be there to help, but arenāt going to be making the decisions.ā
āIt requires a level of vulnerability that people who are in formal leadership positions are often really uncomfortable with,ā agrees Robinson.
Transformation therefore does not necessarily involve rendering the HIPPO ā the highest paid personās opinion - extinct. āSometimes the voice of the HIPPO is saying exactly what needs to be said,ā OāBrien points out. āItās not always a bad thing.ā However it does call for a new breed of HIPPO, which is āmore balanced in the way they manage ā not as dictatorial, and not as HIPPO-like,ā says Pangrazio. And when tasked with steering a transformation, these leaders should be afforded a high level of support, with each incremental success used to build the appetite and momentum for future change.
āTheyāre staking their careers on these decisions,ā OāBrien points out. āWeāre asking them to take very challenging steps against everything theyāve been taught to be true. Thereās a lot of fear and anxiety in that. The first step is to meet them halfway, take things slow, take lower-risk steps to immediate transformation goals so their level of confidence grows.ā
āFailing fastā isnāt enough
If leaders are to convince people to take risks as part of a transformation project, they must also communicate a degree of tolerance for failure. Even if large-scale disaster is avoided, missteps are virtually inevitable as teams experiment with new approaches ā and these missteps should be forgiven, even encouraged provided theyāre evaluated and used as a basis for improvement.Ģż
The necessity of trying and learning from failure has given rise to the āfail fast, fail oftenā mantra that now rings throughout the halls of tech and traditional companies alike. But thereās a fine line between accepting a certain amount of productive failure and making failure a goal in its own right. The former approach understands failure as part of a broader learning process; the latter can lead straight to the proliferation of the kind of half-baked ideas or experiments that thrive in an environment free of repercussions.
"You want to build a high tolerance for failure, but a low tolerance for incompetence."
āYou want to build a high tolerance for failure, but a low tolerance for incompetence,āĢżPangrazio explains. āThat should be supported by some āback to basicsā leadership that makes it clear whatās acceptable and whatās not, ensuring thereās accountability.ā
āFailing isnāt the intent ā itās the mechanism by which we learn,ā adds Robinson. āThe learning is the intent. Itās important to be careful and to make that distinction.ā
Similarly, itās learning, rather than āfailingā fast that creates a more responsive and change-ready organization. āAt the end of the day, the only competitive advantage youāll ever have is the ability to learn a little bit faster than your competitors,ā Robinson says.
Therefore while āfastā failure can be a good starting point, or useful to prune a huge list of ideas into something more manageable, it shouldnāt be a guiding principle. A better mantra might be āfail fast ā and then learn even faster.āĢż
Itās not only the people and culture
So much in transformation ā setting a direction; and persuading teams to embrace change, take risks and learn from the results ā depends on people, and creating an organizational culture that fosters dynamic interactions among them.
Consultants and studies often single out culture as a deciding factor in transformation. But another common mistake is concentrating on the organizational aspects of transformation without laying the technological foundations to match.
Biggest roadblocks to transformation


Some common transformation roadblocks, such as the inability of separate departments to effectively share data, canāt be addressed by altering the way people work; they require deep (and occasionally painful) changes to systems and enterprise architecture.
"To really transform your business model, you need to change the underlying systems and technology. If you donāt, youāre never going to achieve the levels of process and capability autonomy required to keep pace with less encumbered challengers, and technology will always remain an anchor."
āMore often than not whatās described as transformation is an organizational restructure of people into different divisions,ā Pangrazio notes. āThat can save a lot of costs and create a good uplift, but often doesnāt hit the mark in terms of fundamentally changing the way services are delivered and making the organization more competitive. To really transform your business model, you need to change the underlying systems and technology. If you donāt, youāre never going to achieve the levels of process and capability autonomy required to keep pace with less encumbered challengers, and technology will always remain an anchor.ā
Overhauling core systems is not always an easy choice to make. āIn many organizations, itās a career-defining call,ā says Pangrazio. āWill your colleagues and investors support it? A lot of senior executives take the path of least resistance. In highly complex, costly environments, people seek simplicity, and the hardest thing to do is fundamentally reorganize and restructure that technology core.ā
By the same token, while an injection of new blood or skills may be welcome, itās generally not possible to āhire your wayā to transformation while neglecting the technology side of the equation.
āOrganizations often figure the answer is new people, and sometimes it is, but more often than not what you need is already there,ā Robinson says. āYour ability to cultivate and motivate people, and create an ecosystem around them that really unlocks the capabilities they have, is the harder road.ā
Responsive doesnāt mean responding to everything
The ability to better deliver benefits to the business - whether increased revenue or lower costs - as a result of delivering value to clients, based on insights derived from relevant data, is an important measure of transformation success. But becoming a more responsive organization shouldnāt be confused with doing everything customers (or your data) seem to be telling you.
Enterprises are taking in more data on their customers, and how their products and services are received and used, than ever. The eagerness to put this data to use in development and decision-making can fuel what Pangrazio calls the ābaby bunnyā problem ā a burgeoning stable of products or projects launched to address fast-developing trends or customer demands.
Ģż
If this isnāt accompanied by hard investment and changes to systems that boost the companyās development capabilities, the enterprise may be in danger of spreading its resources too thin,Ģżor only capable of superficial, front-end ādigitalā change. āThereās a finite amount of additions to the bunny family that you can make before you get so complex that to make any real change can actually be detrimental to the organization,ā says Pangrazio.
In pivoting toward customer-centricity and the greater use of data, every now and then the organization also needs to slow down, take a collective breath and admit it canāt do it all. Part of using data effectively is the ability to ruthlessly prioritize and reduce work in progress. Insights that connect directly to opportunities may warrant urgent action ā while others may deserve nothing more than a cursory nod.
āItās about pruning,ā says OāBrien. āIn innovation, youāre planting a lot of seeds, and as they sprout up sometimes you need to be willing to cut them, because with each one youāre introducing more costs and complexity.ā

āIn innovation, youāre planting a lot of seeds, and as they sprout up sometimes you need to be willing to cut them ā because with each one youāre introducing more costs and complexity.ā

Brigid OāBrien, Principal Consultant, ÷ČÓ°Ö±²„
This makes it vital to always have a clear idea of what is ultimately of value to the enterprise. āYou need to understand and think about how the company makes money, as well as its other goals,ā Pangrazio explains. āInnovation needs to have a relationship to commercial or other targets, whether those are to be more sustainable or improve the world.āĢż
In summary: Donāt transform, evolve
Having examined the stereotypes that can stop transformation in its tracks, what are the secrets to transformation success? The answer, of course, is: It depends.
āWe have patterns, we have tools and wisdom gained through experience trying to help organizations with the process,ā says Robinson. āBut even if we perfected the 217-step plan to get you to operate in the most amazing way, it would be for whoever we did it for, not for you. Because youāre in a different market, with a different group of people and a different set of constraints and intentions. The real differentiator is going to come from something unique in your organizationās DNA. If you ever find a transformation silver bullet, donāt fire it.ā
At its most basic, transformation implies a company turning into something else ā which may not be the best way to envision the process needed to thrive in a more technology-driven, disruption-intensive market environment.
Rather than setting out to ātransform,ā the change-ready organization engages in constant analysis, examining the data around existing processes and offerings to establish where these can be tightened or enhanced by the effective application of technology - even jettisoned if necessary. Its core mission and values may stay the same, but organizational and technological infrastructure develops to advance the enterpriseās ability to recognize and respond to change.
While transformations have an end point, āthis process is something thatās never done,ā OāBrien notes. āItās continuous improvement, acknowledging your organization should never be satisfied and is always striving.ā
āItās a perpetual exercise,ā agrees Pangrazio. And as such itās more accurately described by a different term.
āTransformation is something youāve done, when what weāre really talking about is evolution,ā he explains. And that means the main question for any enterprise faced with constant shifts is no longer how it should transform in response ā but, āCan you continue to evolve at the pace thatās required to keep up?āā
By JoJo Swords
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