5 Factors Defining Digital Transformation Progress
June 20, 2018

Malcolm Ross
Appian

Share this

The widespread move toward digital transformation gained momentum in 2017. Throughout the year, businesses across a wide range of sectors began exploring how they could leverage modern technologies in concert with one another to drive operational excellence and improve customer experiences.

Looking ahead to the rest of 2018 and beyond, it seems like many of the trends that shaped 2017 are set to continue, with the key difference being in how they evolve and shift as they become mainstream.

Five key factors defining the progression of the digital transformation movement are:

1. A Move to Transformation Platforms

The technologies surrounding the move to digital have shifted in recent years, with leading solution providers beginning to create platforms specifically aimed at fostering digital transformation.

CIO Magazine reported that these types of technologies will gain more prominence in the coming year. Businesses will look for help as they dig deep into transformation, and many will want proven solutions that can drive gains. As organizations make such moves, they don't need basic out-of-the-platform functionality.

Instead, platforms must be:

■ Agile enough to adjust to changing demands.

■ Adaptable enough to orient themselves to specific industry requirements.

■ Flexible enough to work within existing IT frameworks.

Mature cloud platforms can meet these kinds of demands, and such solutions are set to usher in the next era of digital transformation.

2. APIs Will Focus On Platforms

With platforms becoming more prominent alongside digital transformation's rise, many organizations are finding that rolling out APIs for each app is not nearly as valuable as simply creating APIs that empower apps to integrate with platforms, a Gartner report explained.

David Cappuccio, VP and Distinguished Analyst at Gartner, explained that this API shift is changing how organizations manage projects.

"Ensure that your organization takes an 'API first' approach, designing APIs based on the requirements of your organization's ecosystem," said Cappuccio. "APIs designed in this way can be mapped to internal technology infrastructure. This approach is more effective than simply generating APIs based on existing infrastructure and data models."

3. Customer Journeys are Shifting

The importance of optimizing customer journeys was among the driving factors behind the move to transform around digital. Businesses realized consumers used such a varied range of devices and services to interact with them that they needed to rethink customer services. Instead of simply equipping a support team with software, companies tried to understand how customers interact with them, what problems come up along the way and how processes and data can be coordinated more effectively.

However, these early moves to focus on customer journeys tended to emphasize getting a consumer from an initial contact to a specific destination. The journey needed to be good, but the emphasis was still to get customers to a certain destination as efficiently as possible.

CIO reported that companies will need to start moving to build digital transformation into the core of their operations. Because of this, many companies will end up completely revisiting their operational and technology ecosystems so they are inherently agile. With greater flexibility in place, companies are focusing less on providing actual products and more on the skills and functionality that comes with creating a strong customer journey.

The old idea that life is about journeys, not destinations, is hitting the business world. Instead of creating customer journeys that lead users to a destination, companies are using the journeys to drive the business.

Digitally transformed interactions with clients can:

■ Create loyalty by making it easy to interact with a brand.

■ Establish trust through personal connections.

■ Generate natural opportunities for upsells and similar revenue gains through relationship building.

Turning the customer journey into a product requires a tremendous degree of organizational cohesion, and the platform systems mentioned earlier play a key role in connecting operations across disparate user groups.

4. The Divide Between IT and Business is Disappearing

The early days of digital transformation were marked by a sense of misalignment between technology teams and business units. Application development platforms, which often serve as central digital transformation hubs, are blurring the lines between these groups, creating an operational climate where IT and business increasingly work as one.

This isn't to say that specific, refined business and technology skillsets will stop being valuable. Instead, the issue is that so many organizational silos are breaking down that companies can no longer afford to segregate these user groups and assume they will still work well together. In action, business teams aren't depending on just technology; they are often driving IT change and taking control of development with low-code platforms. At the same time, tech users aren't doing just backend work; they're recognizing how emerging solutions can drive valuable business gains and are turning into consultants.

As digital transformation matures, success hinges on breaking down the barriers between IT and business units.

5. Emerging Technologies Taking Hold

Artificial intelligence, robotic process automation and related technologies began to gain ground in 2018 as the internet of things exploded and businesses began to embrace the benefits that intelligent machines can offer. As digital transformation strategies mature, modern business will likely be defined by these types of solutions.

AI, for example, is increasingly being embedded into cloud solutions so it can operate in the backend of platforms. It is used for chatbots and personal assistants that make complex tasks easier. In short, it lets people interact with technology like they would another person.

RPA is similarly important, though it is often instrumental in the backend, completing the complex tasks that no longer require human intervention.

These technologies emphasize an underlying trend in digital transformation: It isn't just about bringing people and technologies together; it's about empowering the best parts of human creativity and relationship building by eliminating mundane tasks that have long held workers back.

Digital transformation is evolving. Is your business ready?

Malcolm Ross is VP of Product at Appian
Share this

The Latest

February 20, 2024

In today's digital era, monitoring and observability are indispensable in software and application development. Their efficacy lies in empowering developers to swiftly identify and address issues, enhance performance, and deliver flawless user experiences. Achieving these objectives requires meticulous planning, strategic implementation, and consistent ongoing maintenance. In this blog, we're sharing our five best practices to fortify your approach to application performance monitoring (APM) and observability ...

February 16, 2024

In MEAN TIME TO INSIGHT Episode 3, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses network security with Chris Steffen, VP of Research Covering Information Security, Risk, and Compliance Management at EMA ...

February 15, 2024

In a time where we're constantly bombarded with new buzzwords and technological advancements, it can be challenging for businesses to determine what is real, what is useful, and what they truly need. Over the years, we've witnessed the rise and fall of various tech trends, such as the promises (and fears) of AI becoming sentient and replacing humans to the declaration that data is the new oil. At the end of the day, one fundamental question remains: How can companies navigate through the tech buzz and make informed decisions for their future? ...

February 14, 2024

We increasingly see companies using their observability data to support security use cases. It's not entirely surprising given the challenges that organizations have with legacy SIEMs. We wanted to dig into this evolving intersection of security and observability, so we surveyed 500 security professionals — 40% of whom were either CISOs or CSOs — for our inaugural State of Security Observability report ...

February 13, 2024

Cloud computing continues to soar, with little signs of slowing down ... But, as with any new program, companies are seeing substantial benefits in the cloud but are also navigating budgetary challenges. With an estimated 94% of companies using cloud services today, priorities for IT teams have shifted from purely adoption-based to deploying new strategies. As they explore new territories, it can be a struggle to exploit the full value of their spend and the cloud's transformative capabilities ...

February 12, 2024

What will the enterprise of the future look like? If we asked this question three years ago, I doubt most of us would have pictured today as we know it: a future where generative AI has become deeply integrated into business and even our daily lives ...

February 09, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 5, the final installment in this series, covers the advantages AI will deliver: Generative AI will become increasingly important for resolving complicated data integration challenges, essentially providing a natural-language intermediary between data endpoints ...

February 08, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 4 covers the challenges of AI: In the short term, the rapid development and adoption of AI tools and products leveraging AI services will lead to an increase in biased outputs ...

February 07, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 3 covers the technologies that will drive AI: The question on every leader's mind in 2023 was - how soon will I see the return on my AI investment? The answer may lie in quantum computing ...

February 06, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 2 covers the stakeholders that will drive AI: We'll see the emergence of new C-suite roles, like Chief AI Officer, who will partner with CIOs to ensure AI adoption continues to grow and emerging regulations are adhered to across the enterprise ...