6 Top Digital Transformation Myths Debunked
May 17, 2021

Miguel Sanchez
Synoptek

Share this

In the post-pandemic world, digital transformation is one of the top priorities for companies globally. Having seen the role that technology played during the initial stages of the pandemic, companies have realized that technology, if leveraged timely and in a business-results-driven manner, can play a massive role in not only business continuity but accelerating the business forward.

If technologies like collaboration and communications tools, cloud, and SaaS did not exist, it would have led to more difficult times and possible economic devastation for businesses.

Though digital transformation has been a goal for most companies, even before the pandemic, the progress made on this front in just the last year is significant and faster than what has been accomplished over the previous few years. Now that businesses have seen the value that they can drive from this effort, there is a greater desire to progress further and faster on their digital transformation roadmap.

Many organizations face several roadblocks on their digital transformation journey, the most significant and most damaging barrier being the myths surrounding it. This blog debunks the critical myths surrounding digital transformation so that organizations feel confident in taking those forward steps in their journey and not being deterred when challenges present themselves.

Myth 1: Digital transformation is ONLY about technology

Most discussions regarding digital transformation revolve around technology. While technology is important, it is not everything, and what companies really want is "value."

For example, from a customer delivery standpoint, the company would want to deliver the highest-quality service to its customers in a cost-effective manner and would need technology to drive a differentiated outcome. However, technology is a means to achieve the outcome, not the outcome itself. Successful digital transformation needs strategic planning, organizational adoption and not just IT investment.

Myth 2: Digital transformation needs to be driven by the IT team

Most digital transformation initiatives fail because they do not find enough support from leadership. Rethinking the business, how products and services are delivered, how customers are engaged and retained is too huge a change to be driven solely by the IT team. Digital transformation is the responsibility of the management team and key stakeholders within the organization, and without their commitment, the employees at the grassroots level will not be able to drive and adjust to the cultural and functional changes required for the initiative to be successful. It is a technology and business concept that needs acceptance across the depth and breadth of the organization.

Myth 3: Digital transformation is expensive

As consultants, we often hear "cost" to be the biggest deterrent for digital transformation. However, successfully transforming the way the business operates and driving increased productivity is the first step towards strategic cost optimization and can help an organization better align its IT budget to business objectives. Transitioning budget from keeping an inefficient and ineffective environment running to implementing enabling technology can save significant IT waste and debt in the long run. For example, cloud-based technologies and subscription-led services form the technology base for digital transformation and are cost-effective if implemented and managed properly.

Ultimately, a successful digital transformation increases data transparency, reduces paperwork, boosts cross-team collaboration, and helps in resource optimization. Let’s not forget the flip side of the coin as it relates to cost, which is revenue. Digital transformation should always be aligned to achieving a return on investment, and if planned properly, the benefits and return achieved far outweigh the initial cost to implement change.

Myth 4: Digital transformation means reducing your workforce

Digital transformation does not mean workforce reduction. In fact, digital transformation creates greater opportunities for employees. With increased automation, tighter integration, greater visibility and transparency into key processes and systems, employees can thrive, grow and unlock their true capability and contribution. Digital technology is intended to complement the skills of the workforce, not replace them.

Myth 5: Digital transformation is quick

Digital transformation is not a quick, single initiative that you allocate a few resources to and can be completed in a few months. Digital transformation is a continuous process and needs focus, commitment, and measurement from teams to be successful. In addition, the amount of change, along with its pace, requires a programmatic approach to effectively manage on a going-forward basis. While some results can be realized immediately, it may also take more than a year to recognize the material, tangible value from digital transformation initiatives.

Myth 6: Digital transformation can wait

While the COVID-19 pandemic has, to a great degree, shattered this belief, many companies still think that they can hold off on implementing change and adopting modernized and digital capabilities. With these organizations, there has to be a change in mindset. What got you here is not going to take you where you need to get to. Companies cannot afford to delay digital transformation. The broader ecosystem is not waiting. The customer demographic and expectations are shifting. Partners are modernizing and expect the same from those with who they will continue to business with.

How to drive digital transformation successfully

Digital transformation works when leaders in the organization champion the initiative, drive engagement at all levels, educate the workforce on the benefits, and build enthusiasm. By doing this, strategic thinking and creativity come into focus and become a part of the business process and culture.

Miguel Sanchez is SVP, Business Software Solutions Group (BSSG), at Synoptek
Share this

The Latest

September 23, 2021

The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...