“Humanity has a choice: cooperate or perish. It’s either a Climate Solidarity Pact — or a Collective Suicide Pact”.

COP27, held in Sharm El Sheikh, Egypt, in November 2022, began with this sobering opening statement from UN Secretary-General António Guterres. It set the mood for the two-week conference, which fell well short of meeting its targets. According to the Economist, “There is no way Earth can now avoid a temperature rise of more than 1.5°C. There is still hope that the overshoot may not be too big, and may be only temporary, but even these consoling possibilities are becoming ever less likely.”

Governments need to keep investing to tackle climate change, but they now also need to invest to increase our collective resilience. Since COP26 in 2021, not only has the geopolitical environment changed significantly, but the increase in global temperatures, causing wildfires and flooding, has reminded us of the heavy cost of inaction.

While people expect decisive action from their governments, their leaders seem overwhelmed with different priorities and planned investments.

A Real Test of Leadership

This year, 130 developing countries succeeded in their attempt to add the notion of “loss and damages” to the official COP27 agenda. But with COP now over for another year, that looks like the only success in 2022. Even that still needs to be ironed out, however, and it should also be remembered that it only tackles the consequences and not the causes.

Mahmoud Mohieldin, UN Climate Change High Level Champion for Egypt, reminded us that global warming is not only about changing the way we produce and consume energy, but also about the way we produce food. “Transforming food systems could release back the $12 trillion the world spends on the hidden cost of food, from transportation to fertilisers,” he said. “We could also eliminate nearly all of the 8.5% of emissions that come from agriculture.”

There are many reasons why such important matters were not intensively discussed at COP27, but we believe one of them was the lack of global leadership.

If no leader stands out when there is so much to coordinate and activate, the transformation must come from cooperation and greater transparency in the promises made to lower our emissions and our dependence on fossil energies.

COP28: Climate Data for the Common Good

Next year’s COP will come at the same time as the first report since the Paris Agreement of 2015, as the final biennial reports for developed countries will be multilaterally assessed to complete the final IAR cycle during 2023–2024. It’s hard to believe that the direction set in 2015 — to limit global warming to well below 2°C and preferably to 1.5°C — will be reached by then. It’s also hard to think that we will have concrete data to rely on by then.

Some initiatives with data transparency at their core have already been implemented. We think of the Climate Data Steering Committee, the EU’s Corporate Sustainability Reporting Directive and the One Data Hub. By the time these reporting mechanisms are live, there will be more data to track and report, including the loss and damages funds agreed at COP27.

These reports include the same KPIs and data format to follow up on, however. One goal for government executives will be to agree on a data format for each component of climate change, which will need to be transparent for citizens so that they can hold their governments to account.

Philosopher Günther Anders once explained the notion of the Promethean gap, which refers to the incapacity of the human brain to perceive the danger it might encounter. At the beginning of 2022, IDC revealed that the number 2 challenge for governments when attempting to become more sustainable was the lack of IT tools to measure the impact, which was almost as challenging as the lack of funds. If we need concrete data before we take action, it’s time to understand that when it comes to “cooperate or perish” it’s not too late to make the right choice.

Remi Letemple - Senior Research Analyst, IDC Government Insights - IDC

Remi Letemple leads IDC’s Worldwide Sustainable Transportation and Smart Vehicles Strategies service, where he provides strategic guidance and thought leadership on the future of mobility and transportation. Operating at a global level, he is recognized as a subject matter expert in smart mobility and transportation technologies—including connected, autonomous, shared, and electric mobility—enabled by software-defined vehicle (SDV) architectures, over-the-air (OTA) updates, cloud and edge platforms, and AI, including generative AI.

This year’s Enlit Europe, which took place between November 29 and December 1 in Frankfurt, attracted almost 18,000 visitors and 1,000 exhibitors from 100 countries — proving once again to be a reference point for the European (if not worldwide) utility sector.

Sessions on flexibility, energy transition, and digitalization, as well as numerous hub sessions, provided a great opportunity for knowledge sharing during the three-day event. Here are our key takeaways from discussions and debates with technology providers and utilities.

  • European power DSOs are feeling the pinch due to accelerating demand for electrification and distributed generation. One DSO from the DACH region we talked to said it expects requests for PV connections to increase fourfold this year over 2021 in power terms. A Scandinavian operator said it needed to deploy as much capacity by the end of the decade as it had built over the past century. This was expected, of course, as distribution is where most of the energy system transformation is taking place. But things have now spread to a large and diverse cross-section of the power distribution world and DSOs don’t want to become the bottleneck of the energy transition. Distributors urgently need tools to shed light on the LV level of their grid — for planning, operations, and maintenance purposes — and marketplaces to access and procure flexibility in coordination with fellow DSOs and TSOs.
  • Despite the events of the past 10 months, consumers still appear to be an afterthought for most energy suppliers and utilities (and numerous governments) across Europe. With energy and related energy costs top of mind for most customers, it was a great opportunity for companies to create awareness and educate customers on the energy transition, and the critical role they play in making it a reality. But that opportunity has been squandered, with companies failing to deliver on what matters most to customers: high-bill alerts and personalized, meaningful energy efficiency advice. Due to skyrocketing energy prices, energy suppliers are significantly worse off than before in terms of customer satisfaction and net promoter scores. By failing to support customers at a time of need, utilities have failed to change the narrative around them and become trusted energy advisors in the energy transition.
  • As the energy transition accelerates, partnering and co-innovation are becoming critical tools to accelerate the development of solutions designed to respond to this acceleration. These are no longer buzzwords on slideware. Co-innovation between utilities and solution providers is happening on the ground and it is slashing time to market by a factor of three on average. There are hardly any strategic product initiatives by established software providers in this space that are not driven in cooperation with a carefully curated group of end users, leveraging design thinking and agile principles. Partnering between the incumbent enterprise and operational software vendors in the utilities space and their specialty counterparts has also accelerated significantly, offering a new procurement paradigm that combines what we call a platform approach to operations with a new wave of best-of-breed.
  • The industry mantras of electrification, decarbonization, and energy transition continue to be recited despite the impact of the ongoing energy crisis. While the criticality of climate change can’t be neglected, it appears to some extent that the energy crisis has dampened the urgency for some companies and the industry as a whole to invest in making grids reliable for what’s to come. This is a concern, as some areas are already at risk of bottlenecks, as uptake of EVs, heat pumps, etc. increases. There are numerous European initiatives to foster electrification, such as “Fit for 55,” which will end the sale of new CO2-emitting cars in Europe by 2035, and “REPowerEU,” which aims to install 50 million heat pumps by 2030. But this begs the question: Where are we going to get all this power from”

The overall impression is that of an industry chugging along, conscious that it can’t do it alone and increasingly reliant on its partners and innovation with other sectors. We have seen pockets of real disruptive innovation, but for the most part the industry feels a bit weary, and understandably so.

Here’s to brighter times when we meet in Paris at next year’s Enlit Europe.

At IDC’s European Manufacturing Digital Summit 2022, on November 15, 2022, over 79 “live” attendees from across 21 countries discussed the key theme of the event — “Thriving in Manufacturing with PRIME — Purpose, Resilience, Imagination, Mastery and Ecosystems”.

The summit featured an impressive panel of speakers from our partners and the manufacturing CxO community, complemented by insights from the European IDC Manufacturing Insights team.

Based on the presentations and roundtable discussions from 14 sessions, our top 10 manufacturing trends in Europe are as follows:

  1. Manufacturing organisations must leverage IT to achieve quick wins and build long-term capabilities

The current storms of disruption in Europe may not change manufacturing organisations’ approach to everyday work, but they had led to a greater focus on solving immediate challenges while keeping an eye on longer-term strategic investments. Immediate initiatives focus on increasing efficiency (to reduce costs), flexibility and agility (to better master unpredictability). IT can significantly help the business to weather these storms of disruption, be it supply chain challenges, inflationary pressures, cyberattacks, skills gaps or escalating energy prices. But IT must also ensure that long-term business needs can be met — key to making manufacturers more resilient in the long term.

  1. Automating and sharing data in an integrated and trustworthy way is a challenge

Often the technology itself is not the challenge — the challenge is having a robust model and approach that enables different technologies and the data they generate to be integrated in a secure way without creating silos so they can provide value to users inside and outside the company.

  1. A zero-trust approach to cybersecurity

Manufacturing organisations must be consistent in providing access and security in every connected environment: from factory-level IT and OT to plants being globally deployed. When mapping the security architecture, manufacturers need to look at the overall security posture. In OT and IT, they need to be careful about both known and unknown threats. They need to build rules to block known threats and warn of suspicious behaviour. The key is to recognise the nature and impact of potential threats and risks, and articulate their vision in a way that is relevant to C-level business leaders.

  1. Location data for process automation can empower OT and relieve IT

Location-based process automation can make IT’s job easier and empower OT to tackle automation projects themselves. Improving transparency and driving process automation on the shop floor is about bridging vertical IoT system silos, including different location technologies (e.g., GPS, RFID, UWB) and respective middleware.

  1. “Phygital” (IT/operational) convergence to avoid business performance divergence

Operational equipment instrumentation is steadily increasing along with factory connectivity, driving the growth of data in the manufacturing industry. Companies that see data management as an issue to solve, rather than an opportunity to exploit, will have a problem keeping their processes up to speed. IT and OT convergence through integrated governance models is a vital step in this journey.

  1. Industry ecosystems will rely on IT-OT integration

Bridging the gap between IT and OT will be essential in the context of industry ecosystems, which are increasingly generating value. A core pillar for this is operational data exchange, but this requires trust, appropriate platforms, infrastructures and applications that support use cases.

  1. Best-in-class companies use intelligent automation to transform their business holistically

Intelligent automation can provide value in several scenarios, such as rethinking products and services, automating operations, streamlining supply chains, engaging customers, empowering employees and reimagining manufacturing. The ability to apply intelligent automation holistically (end to end) will be a key differentiator and source of competitive advantage for manufacturing companies.

  1. Data can be a foundation for sustainable manufacturing

Data will continue to be a key driver of sustainable manufacturing due to decarbonisation, the battle for talent and the need to increase supply chain resilience and optimise production to maintain competitiveness. It has long been said that “data is the new gold” — when it comes to manufacturing, it’s quite simple.​ On the shop floor, making data visible is the key. According to Peter Drucker, “You can’t manage what you can’t measure”​. Manufacturers are therefore turning to digital twins to make their factories more resilient overall. For instance, solutions using existing technologies — such as sensors, PLCs and IIoT devices to detect vibration, temperature, moisture, noise, etc., or machine vision — are all available.

  1. Finding the optimal interaction between humans and machines

It’s important to use technology to raise worker productivity and offset the critical skill shortages on the shop floor. It will be crucial to get the right degree of interaction between humans and automation technologies (such as AI, RPA and AR/VR) to maximise employees’ potential and avoid conflict. Using low-code and self-service platforms also helps to make data streams human-friendly.

  1. Doing more with less

As rising costs, supply chain issues and other challenges continue to mount, manufacturers are applying more intelligent solutions and technology to do more with less. It will be vital for organisations to optimise decision-making processes to enable data-driven decision making by utilising industrial IoT, cloud, AI and mixed reality, and infusing them with more intelligent and collaborative business applications.

 

Getting Ready for the 2023 Manufacturing Summit in Germany… But First, Some Thank Yous

The IDC European Manufacturing Digital Summit 2022 was very well received by our manufacturing CxO community and our partners, as it provided the opportunity to get the latest insights from IDC and its partners, discuss industry challenges, share lessons learned and network with peers.

We’d like to thank all our sponsors — Citrix, Fujitsu Uvance, Elastic, Kinexon, Nozomi Networks, Palo Alto Networks, Microsoft Radiflow and UiPath — and our Advisory Board Members for making the summit such a success.

All the recordings of our keynote presentations and panel discussions are now available at our on-demand centre.

We have already started prep work for next year’s event, which will be a physical event scheduled for May 22–23 in Cascais, Portugal. We look forward to continuing the dialogue with our 2023 theme, “The Purpose-Led Manufacturer: Thriving with Impact, Scale and Trust”. Please stay tuned.

If you’re interested in joining our manufacturing CxO community or if you’d like to help us to create and shape the agenda for next year’s event, please reach out to Stefanie Naujoks (snaujoks@idc.com) or to anyone on the IDC Manufacturing Insights EMEA team.

Gunjan Bassi - Research Manager - IDC

Gunjan Bassi has more than 14 years' experience working in the logistics and transportation sector. Before joining IDC, she worked with Transport Intelligence (Ti), a transportation and logistics research firm based in Bath, England, where she was responsible for vertical sector research covering qualitative and quantitative reports. She was also actively involved in the development of new research capabilities and product features of Ti's flagship market intelligence portal. Previously, based in India, she was leading the global logistics research team at Evalueserve where she was responsible for running custom research projects commissioned by leading logistics service providers (LSPs) and focussed on strategy/GTM, sales enablement, and market and competitive intelligence. Bassi holds a bachelor's degree from Shri Ram College of Commerce (SRCC), Delhi University, and post-grad studies in management.

Proactive Approach to Monitoring and Responding to Digital Regulations

In a fast-moving business environment, having actionable information about the external drivers shaping economies in both the short and long term is key to success. New regulations and major policy changes can shake up markets and hurt businesses, while informed and resilient organizations will ride those waves and seize opportunities to become more competitive.

There was a compliance rush when General Data Protection Regulation (GDPR) entered in effect in 2018, with companies looking for last-minute guidance and quick solutions to comply and avoid hefty fines and other legal actions. Unfortunately, most organizations adopted this reactive approach. But others attended to the new requirements in advance — in particular, some tech vendors created new products and services to address this new market created by GDPR.

Since then, the digital economy has become even bigger — according to the World Bank (2022), the digital economy represents 15% of the global economy. Consequently, there has been a proliferation of digital regulations and policies worldwide, with more than 100 countries mirroring GDPR.

And in the EU, dozens of new regulations have been created to address ever-more relevant digital markets. Beyond mapping more than 30 EMEA new or updated regulations, IDC’s EMEA Digital Regulations and Policies Radar examines 10 of the most relevant regulations and policies in EMEA and analyzes their impact on European ICT markets.

10 Key European Digital Regulation & Compliance Developments

 

  1. DORA

The Digital Operational Resilience Act addresses the concerns of a possible systemic risk stemming from the prominent role of critical ICT service providers in the financial industry

  1. DGA

The Data Governance Act is expected to make more data available and facilitate data sharing across sectors and EU countries

  1. AI ACT

The EU Artificial Intelligence Act is a legal framework proposed in response to ethical challenges presented by AI

  1. eIDAS

The EU Electronic Identification Authentication and Signatures Regulation created a Europe-wide legal framework for electronic identification, transactions, and signatures

  1. NIS II

The EU Directive on Security of Network and Information Systems Directive II requires Member States to have in place resilient and effective national cybersecurity regimes.

  1. DMA

The Digital Markets Act is the EU’s legislation to make the digital sector fairer and contestable, it establishes new rules to limit the market power of big online platforms

  1. DSA

The Digital Services Act (DSA) is meant to protect the fundamental rights of EU-based users of digital services and create new opportunities for digital-first businesses

  1. 5G Regulations

All regulations related to 5G network capacity and spectrum allocation

  1. CSRD

The European Commission Corporate Sustainability Reporting Directive mandates large organizations in Europe to report on sustainability standards

  1. EU Chips Act

The “EU Chips Act” is a competition policy aimed at bolstering the regional internal production of semiconductors

 

The European digital regulatory landscape has unique characteristics that must be addressed for a proactive digital regulatory strategy. The many acronyms and complex scenarios derived from the many acts, directives, and policies from the EU can be daunting at first sight, but to future proof your organization, we recommend three actions to proactively approach your digital regulatory strategy:

  • Monitor closely the regulatory landscape to anticipate current and future challenges
  • Link your go-to-market strategy and product development (e.g., adding new features and controls) to upcoming regulatory requirements
  • Work with the tech vendor ecosystem to buy or develop the right technologies to achieve short-term compliance efficiency (via automated compliance software from RegTechs)

Please contact us if you’d like to know more about this research stream, especially if you are a tech vendor interested in developing solutions in the RegTech market or a tech vendor that can be directly impacted by new digital standards in the European market. You can access our new subscription product, featuring European regulations and policies, here European Digital Regulations and Policies Radar (idc.com) or contact Anielle Guedes at anguedes@idc.com.

Marc Dowd, Executive Partner from the IDC Executive Advisory service opened the call by thanking everyone for joining and with some of the Analyst Industry report data. Using extensive research IDC predicts that companies which use process mining tools will be 20% more profitable than their peers who do not use these tools. 

Evidence shows that 74% of organizations which start a process mining project are successful with the implementation.

Lessons Learnt

One leader felt that business tend to love business process mining tools or not use them at all. He said that he had used process mining to get ready for new ERP. 

He found that old ERP system is not a good way to figure out actual processes as this was fine where you had an end-to-end process in a single system, but this became more complex outside of this theoretical view. He hopes that these tools will help figure out actual processes.

Another attendee told the team about a BPM deployment they had begun 4 years ago. He was skeptical of the business benefits of these tools. His organisation found that these tools were too labour intensive to use to accurately define processes. 

The eventual outcome was where the business decided to drop BP tools– but use SAP instead to establish same processes, and procedures.

Marc thanked the attendees for their honesty on successes as well as less successful initiatives as a learning point for the others on the call as these lessons were invaluable.

Success with Process Modelling and ERP

Another attendee spoke about how he had used these business modelling tools for 10 years. The process had started with the idea of moving from internal development systems to SAP and the tools they implemented were to clean up processes taking 5 years of work to clean up business processes in a continuous improvement cycle. 

The CIO spoke of how they worked through but didn’t finish before SAP was introduced. Now after the fact, they are still trying to clean up processes which means they have implemented some of these which are sub optimal into their new ERP system. 

Marc asked about which process intel models the attendees had used. SAP Signavio solutions, which states it “can help you quickly empower your organization with business process transformation” had been used to mine SAP processes but people had issues where the process extended outside the SAP system. 

Managing Non-standard Apps and Processes

Marc opened the floor for the leaders to ask each other for help. One asked, how do you measure how custom developed apps and forms are used?

I Keeling, another IDC Executive Partner, explained that there are a number of tools and techniques available, but the fallback can always be basic manual process mapping and optimization and data flows are a good validation that you have captured everything.

BPM uses

Marc asked the audience, whether you need to model all your processes and how to know what should be modelled? 

A participant commented that they were pitched BPM tools to audit their systems as they needed to know how many issues were being handled as exceptions, rather than as normal processes and therefore costing the business money. They then asked, what is value that people get out of these tools?

Another Digital leader replied they had used business process mapping with ERP systems implemented 20 years ago to find out what parts of system/data was actually still being used by the business and remove redundancy to clean up the system.

Another said it was pitched to the board as a tool to help to find value destroyers and optimize.

The Executive Partners from IDC discussed how combining BPM with AI with automation tools could be used to track SLAs and trigger action.

Rolling out BPM

Some of the CIO’s said they have created a Centre of Excellence around processes within their business which had been successful.

I brought her experience as an ex-CIO to the proceedings and spoke about how she has done BPM using a Lean Six Sigma Black Belt to process map with alternative methods. She did not choose a blanket approach but looked for immediate value and savings. 

In both cases, she has used different approaches to look at ‘procure to pay’, ‘order to cash’ as the first key areas as well as with the data flow for GDPR which has given a good grounding in processes optimization. “For peripheral areas, we asked do we need to have all of these processes. Once we can see them, we can evaluate them” she said. 

It took a few years to work through the key processes across other areas, but reduced wait times, improved SLAs and got great results.

Another CIO agreed. He stated, “We focus on key processes – cash in, cash out, or in operations heavy organization. The focus on key processes is save time/money. He felt that if you try to model all processes, you get lost in the detail. They were now trying to use RPA and UI Path, feeling that maybe process modelling will help the automation.

Different Models

One CIO told us that in their experience with companies, one team is modelling, a different team is working to improve the processes. This didn’t work as well as one team working end-to-end.  

It was also felt that using process tools to help with IT governance to help with business cases for new technology allows you to measure demand better, but this had not been used extensively.

Shaping the Future

Marc posed a question to the leaders, “Is process mining a prerequisite for advanced tech like AI, virtual reality, etc?” 

Another leader said that if we can find a model, all apps become connected, we have a full flow of processes, a full landscape, that will be the main model and we will be able to use it rather than spending time on documentation. He felt it would probably be used more to workflow applications and will control many of the systems in the future, in real time.

Marc commented that while many companies want to automate processes and decisions but often, trust in the data is lacking. The closer you are to a process and related data, the less trust you have in the data, something the IDC Advisory team have worked through with a number of clients based on industry reports.

Marc stated that maybe we are the last generation of leaders who make decisions without data before the processes are fully available and data is available at every point as industries move closer to industries such as manufacturing.

More in Depth Knowledge

A rhetorical question was asked by the audience; how are companies high in the S curve doing? What are they doing in terms of process mining?

Marc mentioned that IDC research with vendors indicates that some process tools will soon be able to write code themselves or make suggestions around optimization based on AI in the near future

Questions were also asked about how process automation and task automation fit in with process mining. It was mooted that a “360 degree” Master Class to look at the best practices in leading companies bringing together knowledge from an Advisory, Analyst, CIO, Business and IT leader perspectives could be planned for 2024 if there is appropriate interest from the Digital Leadership Community. 

I and Marc thanked everyone for their attendance and candid “Chatham House rule” protected discussions and the shared value they bring.

The start of the new year brings many people closer to realizing ways they can improve, perhaps its eating better, or fitting in more time with family and friends. There might be professional resolutions such as meeting more regularly with your boss, connecting with colleagues outside of your department. For IT, cutting back on wasted cloud spending is often high on the list but tends to eventually fall through the cracks, with no resolution to this pattern.

According to Forbes, while executives estimate that 30% of their cloud spending is wasted, at the same time enterprises intend to spend even more on cloud services. Clearly wasteful cloud spending is a recognized yet growing problem that for many continues to go unresolved. As this blog will show, where IT leaders fall short on is not identifying areas of spending that can be improved but implementing a plan of action for cost savings and maintaining it.

To elaborate on cloud costs, there are many tools available from cloud providers and third parties that provide reports and dashboards, and even recommendations about which instances can remove or reduce/enlarge (rightsizing). Tools that provide intelligence can also determine how to use discount options (reserved instances, savings plans, reserved capacity, etc.), how to handle licenses smartly and what to do in application architecture to save costs. And, instances can be disabled when not in use.

In summary these resources provide insight, but knowledge into your spending is only as useful as what you do with it to turn around your spending. And how you act will determine how effective you are at plugging the holes of your spending.

Because of the effort that’s needed its common for IT to plug their holes with patches. Take, for example, disabling instances outside working hours. In theory this is an excellent saving, but instances are part of applications, which in turn are part of chains. And then it may just be the case that data exchange takes place in a chain outside working hours. But also, test teams that are approaching a deadline may sometimes need their environment outside the pre-planned working hours. And if environments are used in the management chain, they must also be available after hours in case of an emergency. Overall savings is easier said than done, mainly because it takes work to get there.

Rightsizing is also more difficult than it seems. Users and administrators are often hesitant about removing capacity; users see their performance decrease, and administrators see the risk that more failures will occur because there is less overcapacity to absorb issues. In the latter case, you must carefully analyze where these issues come from; a mediocre application can benefit from more capacity, but that is not a long-term solution. Remember, if the roof leaks, you can replace the bucket that collects the water with a larger tub, but that too will become full at some point. You’ll eventually need to repair the roof.

Ultimately, you’ll have to move towards an entirely new approach in which you not only have insight into the costs, but also involve users and administrators, so that you can make the right decisions about saving on your cloud costs. This isn’t as daunting or unattainable as it sounds. In our next blog we’ll reveal how some IDC Metri Cloud Economics clients have transformed their cloud spending, so you can see how to get there too.

Last year we predicted that “70% of CEOs of large European organisations will be incentivised to generate at least 40% of their revenues from digital by 2025, driving more than €4 trillion of gross value added in Europe.”

As we approach 2023, do we expect this to change?

If anything, the trend has accelerated. According to IDC’s Digital Executive Sentiment Survey (October 2022), European organisations now expect more than 50% of their revenues to come from digital business models on average in the next three years.

Listening to C-level executive priorities for the coming year, it’s clear that despite the polycrisis macroeconomic scenario, the C-suite remains optimistic about future digital investments and is increasingly looking at technology as a critical business differentiator to better deliver business outcomes, increase resilience and accelerate revenue growth. According to the chief innovation officer of a transportation company: “For the next six months our priority will be to build capabilities, including bringing people onboard, to help us build digital products.”

This is the dawn of a new digital decade — the digital business era. But even if the “what” is clear, the “how” is somewhat less clear.

There is urgency, particularly in Europe, to connect technology investments and revenue generation. The majority — 61% of European organisations — take a very siloed and disconnected approach to software projects. This results in one-off or reactive software innovation efforts that only occur in response to urgent market or customer demands. More often than not these efforts do not have a positive impact on revenue generation.

To succeed as a digital business, we argue that companies need to leverage a digital business platform. IDC defines this platform as a multilayered enterprisewide technology architecture, integrating different systems and applications, to enable use cases that ensure business competitiveness and innovation. Only 13% of European organisations have such an architecture, according to IDC’s Digital Executive Sentiment Survey, October 2022.

The platform can be segmented into 3 main layers:

  • Foundational IT. These are the key tech building blocks forming the foundational tech layer required to deliver digital products and services. This includes 12 main elements: APIs, data systems, automation and orchestration capabilities, OT technologies, microservices, programmable infrastructure, multicloud services, security, AI/ML and other emerging technologies (blockchain, AR, VR, robotics, edge, etc.), integration tools, network and connectivity. Some digital design principles and practices should guide the CIO in implementing the right digital architecture.
  • Tech use cases to build business resilience. These are specific digital products that enable the company to remain competitive, responding to the key business challenge of building resilience. This includes use cases that future-proof business, organisational and operations models such as contingency planning for the supply chain and customer churn analysis.
  • Tech use cases to accelerate business growth. These use cases to accelerate growth and innovate include ecosystem data monetisation and intelligent M&A modelling.

As organisations build out their digital business platforms, this paves the way for business outcomes such as:

  • Expanded target markets through innovative partnerships
  • Extended digital use case road maps
  • Greater opportunity to diversify the business model
  • Greater loyalty/reduced churn with both customers and employees

 

If you want more information, reach out to Giulia Carosella, Neil Ward-Dutton, Jennifer Thomson, Mark Child, Andrew Buss, Archana Venkatraman or Tom Vavra.

Neil Ward-Dutton - VP AI, Automation, Data & Analytics Europe - IDC

Neil Ward-Dutton is vice president, AI, Automation, Data & Analytics at IDC Europe. In this role he guides IDC’s research agendas, and helps enterprise and technology vendor clients alike make sense of the opportunities and challenges across these very fast-moving and complicated technology markets. In a 28-year career as a technology industry analyst, Neil has researched a wide range of enterprise software technologies, authored hundreds of reports and regularly appeared on TV and in print media.