Paperless Technology Solution
Gurd shola Addis Ababa,
Ph: +251936515136
Work Inquiries
Ph: +251936515136

Three common digital transformation mistakes and how to avoid them –

A blog from Aaron Tan, Computer Weekly’s Asia-Pacific editor, analyzing the latest trends, issues and technology innovations in the APAC region.
This is a guest post by Stu French, partner for digital and application development at Versent
Over the last couple of years, where Covid-induced pressure has mounted on many large organisations to accelerate the outputs of their digital transformations, the whole concept of a healthy minimum viable product (MVP) has been notably diluted.
There have been some high-profile examples of late, especially in the finance sector, of businesses that have struggled with their digital transformation journeys, and they’ve triggered an undercurrent of commentary around time and cost relative to actual feature output.
Rather than naming and shaming those organisations that have not quite hit the nail on the head, let’s explore the three most common digital transformation mistakes and what businesses can do to avoid them.
When too many leaders of equal seniority input into the programme backlog, it makes it extremely difficult to focus on the customer problems to solve, as they’re buried in a fog of interdepartmental priorities.
The result is a scenario where top-down priorities are melded with bottom-up ones, and simply too much is crammed into the release funnel due to differing objectives.
The impact of this means the release is either delayed, the features within it are incomplete, or the commercial drivers of the programme are inadequately served. In the worst-case scenario, all three of these realities occur in parallel, and this is the driving input behind the statistic we’ve all heard that some 70% of digital transformations fail.
It’s simple to claim that this situation is very avoidable, but we all know that it’s much harder in practice – often because the tension between the stakeholder groups is rarely collaboratively resolved through proper operational model definition.
To succeed, businesses need to underpin their transformation programmes with engagement models that focus on internal outcomes even more than customer-facing ones. You cannot deliver consistent and aligned customer experiences through an operational model that isn’t aligning your internal teams in the first instance.
Many executives express an over-reaching desire to release something “special”, pushing stand-out features up the priority queue, but end up missing the need to perfect the core tenets of the customer journey.
An overwhelming majority of businesses (especially service-based ones) forget that customers often don’t want to deal with them. Their exchanges need to be fast, seamless, and memorable, principally for their simplicity, repeatability, and reliability. There is almost no room for gloss and glitter, and particularly no room for features that don’t serve the majority user need – or, even worse, get in the way of the central jobs to be done.
This one can be solved by simply talking to your customer to build clarity around what they need and what their priorities are; and testing your experiences with them reinforces whether you’ve put features in their way.
The propensity to forget that you can keep releasing revisions immediately after your MVP goes live, means that often weeks and sometimes months can pass before your users feel like they’re getting what they need due to the time taken to refine it.
All too often, once that first release goes out the door, there is a reset in delivery cadence, and it’s one that disrupts team momentum and backlog realisation. If the post-release backlog isn’t even clear and agreed in advance, then this is a problem. This is the point that you disappoint customers more than anything, as you inadvertently communicate that your programme is over rather than a work in progress.
Programme release dates often mean more to internal protocols than they do to customers – a release that’s bound to disappoint is typically more damaging than doing nothing at all.
To keep your customers content, communicate what’s coming, when it’s coming, and incentivise them to remain engaged in the interim.
Sometimes, it’s a matter of slowing down to speed up. Slow down, and ensure everyone is aligned around the customer need, that interdepartmental priorities are consistent, and that they ladder up to a shared objective that is grounded and accessible. Slow down and listen to your peers more than you update them on your own team’s progress. And finally, slow down, and remember that the best digital experiences do a select few things extremely well, not a raft of things poorly.
The distinctions between public and enterprise blockchain matter. Gain insight into those differences and what to consider when …
Data privacy concerns stemming from data collection practices of social media platforms means corporate leadership should be …
The FTC wants to stop Facebook-owner Meta from acquiring virtual reality company Within Unlimited. The FTC alleges that VR is a …
Data empowers enterprises to succeed. But with great power comes great responsibility — to keep that data secure. Here are five …
Enterprises often focus greatly on communications security and less on endpoint security. Review the importance of enterprise …
Cybersecurity lessons companies learn from the COVID-19 pandemic include having work-from-home preparations and developing …
Log analysis and wireless management are common AI use cases in networking. Future applications could include chatbot alerts, …
Executive Todd Nightingale will step away from Cisco after a decade. Cisco plans to combine the enterprise networking and cloud …
Arista plans to fold Pluribus technology into a new product that lets telcos run a software-defined network across switches, …
Blockchain has been a significant contributor to the global chip shortage. Explore the role this rising technology has played.
Congress approved the CHIPS Act and billions more for scientific research to help the U.S. better compete against China in …
From Infineon and Oxford Ionics’ partnership to Cambridge and Honeywell’s merger and QCI’s new Entropy Quantum Computing, explore…
Cloud advancements are changing how chief data officers approach cloud data management as they juggle security, privacy and other…
The CEO of the data streaming vendor discusses the direction Hazelcast is heading in as it launches a serverless platform for …
Chief data officer roles and responsibilities are expanding beyond data strategy, as they are increasingly tasked with …
All Rights Reserved, Copyright 2000 – 2022, TechTarget

Privacy Policy
Cookie Preferences
Do Not Sell My Personal Info


Post a comment

Your email address will not be published. Required fields are marked *

We use cookies to give you the best experience.