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6 Digital Transformation Challenges and How Automation Helps You Overcome Them

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digital transformation challenges
In this comment piece for DIGIT, cloud-based service management specialists Hornbill break down some of the key challenges of successful digital transformation through the lens of automation.

Digital transformation remains the big buzz word in business—and it’s not going away. But digital transformation isn’t really a new thing, just a new phrase.

Technology has been a part of business operations for decades. At Hornbill, we know this. There’s a well-documented history of technology in business. It started with managing stacks of data with mainframes (do things with data).

Networking drove expansion into enterprise apps (do digital things for employees). Then the internet and mobile came along and the whole thing blew up (do digital things for customers).

What does digital transformation mean to you?
Organisations still struggle to define what digital transformation means to them.

They know that technology has the power to accelerate everything: customer interactions, business processes, data processing, reporting and insight, and more.

Digital transformation is a mindset: a lens through which to look at your organisation to identify where digital technologies can deliver efficiency, convenience, and visibility.

The real question is this: What do we digitally transform next? And why? Digital transformation is difficult to define because it is both unique to the organisation/market and it’s a moving target. Every starting point is different. Each organisation has different priorities. There’s no cookie-cutter roadmap. And there’s no end point.

Focus on building digital transformation capabilities
So, what does this mean? The ability to strategise and execute digital transformations is more important than any one digital transformation project. The ability to see and do is the key.

Both capabilities are needed. A clear plan of what needs to happen means nothing if you can’t make it happen. Ability to execute quickly means nothing if you’re building the wrong things.

Starting a digital transformation program without building capabilities means you’ll spin your wheels while the competition forge ahead.

6 digital transformation challenges
According to a Bain & Company survey, 85% of business leaders believe digital disruption will maintain pace or accelerate over the next five years. They have identified 6 key challenges that organisations must face to increase the pace of digital transformation:

1. Committing to the cause
2. Refactoring tech architecture
3. Extracting full value from data
4. Making agile the norm
5. Igniting innovation
6. Becoming a talent magnet

1 – Committing to the cause
Making a decision to commit is great, but the reality in many organisations is that people don’t have the capacity to make significant progress with the delivery of digital transformation projects while a big part of their day is wasted on routine operations work.

Automation takes routine work off their plate—giving them time to plan and execute projects that make a difference.

2 – Refactoring tech architecture
Legacy technology carries a maintenance overhead that will stand in the way of progress with digital transformation.

While IT people are feeding and watering old tech to keep the lights on, they’re not working on the new building blocks required to power digital transformation.

For most organisations, modernising the tech architecture (without disrupting business-as-usual) will be an essential step towards digital transformation maturity. Automating routine IT operations tasks which consume hours out of each day creates the capacity you need to do this.

3 – Extracting full value from data
Likewise, projects to unlock insights from data can drag while IT and businesspeople are burdened by routine workloads. Workflow automation can help release the logjam to accelerate new big data and analytics projects.

When it comes to how you make big data and analytics available to business people, these can be “wrapped-up” as services, accessed easily through the organisation’s service portal. Under the hood, these data and analytics services can be driven by workflow automations for “hands-free” delivery.

When big data and analytics are packaged in this way for business people, they get what they need fast—and without putting a burden on the IT team.

4 – Making Agile the norm
Agile development relies on quick, focused sprints to create and deploy working code that delivers value to customers. While developers and IT operations staff remain distracted by routine tasks, bottlenecks remain and sprints fail to deliver value as planned—stifling momentum. IT automation can help clear the decks for full focus on creating and shipping the features that customers want.

5 – Igniting innovation
The drive for innovation (and the risk-taking that enables it) is a cultural factor. Organisations that punish mistakes stifle innovation by suppressing ideas.


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Organisations that see mistakes as experiments and learning opportunities open the door for ideas coming from anywhere in the organisation. The more capacity your people have, the more innovation projects your organization can have in flight at any given time. So, creating capacity through the automation of mundane work means your organisation can complete more cycles of experimentation, learning and iteration in a year.

That means more innovative momentum.

6 – Becoming a talent magnet
You can’t become a talent magnet first. While your employees are bogged down in routine work, maintaining legacy systems, and manually sifting data, they’re unlikely to recommend your organisation to peers looking for a new and exciting role.

To attract the people you need to execute on your digital agenda, you need to give them two things: A digital agenda to execute, and the time they need to deliver it.

New employees often find they are the victim of an unwitting “bait-and-switch”: they are interviewed by an organisation that is keen to deliver exciting new projects, but the reality is that the new employee will be snowed-under with routine operations work.

They leave and tell everyone about it.

Sort out the operational workloads that are standing in the way first. Then bring in new talent when you’re in a position to keep them.

Conclusions
In short, workflow automation makes way for digital transformation.

Automations look after the high-volume, low-value workloads that stand in the way—giving your people more time and energy to build the foundational capabilities and drive projects forward.

About Hornbill
At Hornbill, our goal is to make life at work better for you. Our modern, cloud-based service management solution takes the stress out of delivering a complex portfolio of services to customers and employees. Built for everybody, Hornbill is a single platform for all the service providers in your organisation, from IT to HR to Facilities, and beyond. If you’d like to learn more, book a demo.


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