A significant proportion of digital transformation initiatives do not deliver the expected results. The reasons are surprisingly similar, and almost none of them stem from technology.
The list below contains the most common mistakes, distilled from field experience, together with the antidote for each.
1
Treating the transformation as an Information Technology (IT) project
The transformation is handed over to the IT department, and top management says "let us know when the system is up." Yet what changes is not the software but the way the business is run; only business leaders can manage this change.
Antidote: The program should be owned by the CEO or a business unit leader; IT should be the implementer of the business objectives.
2
Starting from the technology, not the objective
The journey begins with sentences like "we must use artificial intelligence" or "we must move to the cloud"; which business problem will be solved remains unclear. Technology is purchased, and the problem stays where it is.
Antidote: Tie every technology investment to a measurable business objective. An investment without an objective should be postponed.
3
Moving old processes to digital as they are
Processes that have run on paper for years, full of unnecessary approvals and repetitions, are transferred to the system without ever being questioned. The result: the same inefficiency, this time in a digital environment.
Antidote: Before moving any process to the system, ask "why does this step exist?" Transformation is an opportunity to reinvent processes.
4
Trying to build a "system" out of point solutions
Each department picks its own best-of-breed application: a separate CRM, separate accounting, separate warehouse software, a separate HR system. Integration layers, consultants, and middleware are purchased to connect them to one another.
The data is still disconnected, and the cost is still high.
Antidote: Build on an integrated platform that runs on a single data model; add point solutions only for truly specialized needs.
5
Mistaking an old-generation system with a new interface for "modern"
A system whose core architecture was designed decades ago is considered sufficient for transformation when it is presented with a modern-looking interface. Needs such as mobile access, real-time data, and the cloud run up against the limits of the architecture.
Antidote: Look at the system's architecture, not its interface: Is it web-based? Does it run in the cloud? Is it a single data model? Was it designed for artificial intelligence?
6
Choosing a system for prestige
Many companies choose the most expensive and most complex system because "the big companies in the industry use it"; they then find that the implementation takes years, only a small part of the system is used, and
consulting costs exceed the license costs.
Antidote: Choose the system according to your company's scale, pace, and real needs; compare time to go-live and total cost of ownership.
7
Neglecting data quality
The new system is filled with the erroneous, duplicate, and incomplete data from the old systems. Because the reports are unreliable, nobody uses them; because nobody uses them, the data does not improve.
Antidote: Make data cleansing part of the project; define the owners and standards of master data (customers, suppliers, products).
8
Forgetting people and change management
The system is installed, a training session is given, and the teams are left to themselves. Users go back to their old habits (Excel, e-mail, phone); the system is seen merely as a "recording obligation."
Antidote: Make the system easy for the user with role-based screens, intuitive interfaces, and continuous support; reinforce the new way of working through management routines.
9
Trying to change everything at once
All processes, all departments, and all locations are expected to move to the new system on the same day. The project grows, risks accumulate, and energy runs out before the first result is seen.
Antidote: Start with priority processes, create quick wins, and expand gradually.
10
Saying "it's done"
When the system goes live, the transformation is thought to be complete. Yet technology, the market, and customer expectations keep changing; the moment transformation stops, it starts going backwards.
Antidote: Design transformation as a continuous management discipline; make sure your platform remains continuously open to new capabilities.