Consulting & Services for Digital Business Transformation: Value Engagement Journey
A Model for Business Transformation Success
Lower the risks of business transformation
Mindful of the high cost of disruption associated with rapid changes in new technologies and increasing project complexity, business leaders know that they need the improved business agility and resilience that a digital transformation strategy enables – and they need it now.
However, with only 20 to 30% of digital transformation projects achieving their objectives across all industries, they also need a better way to plan and manage these sophisticated, multi-faceted projects – one that lowers the risks and raises the likelihood of success.
Some reasons are rooted in technology. But many others are on the business end: a limited clarity around expected value, lack of leadership, low alignment between technology and business stakeholders, and last but not least – under-estimated resistance to change within organizations.
It’s clear that C-level executives are facing a very crucial inflexion point for the evolution of their companies to compete in a digital world.
Digital business transformation and strategy innovations for a stronger tomorrow
With the explosion of teleworking in the past five years, enterprises have adopted dozens of online digital tools in a desperate scramble to tightly collaborate and maintain continuity in their business operations.
In the context of this acceleration, more than ever any successful enterprise transformation must start with a clearly defined objective.
It is precisely this value that must drive digital transformation at every step. This is the why Dassault Systèmes has established our Value Engagement Model.
Our Value Engagement framework is structured to delivers success on high-risk, must-succeed digital business transformation projects by leveraging our proven consulting practices and services portfolio. Unlike other consultants who focus primarily on what software to buy, our experienced transformation experts partner with you to determine what you most need to achieve to make your business more agile, resilient and sustainable, and how best to achieve it.
Furthermore, this framework is predicated on a continuous process, from continuous improvement to continuous transformation; the idea is that transformation must be industrialized and equipped, just like any other business process.
We set firm targets for measuring those goals, and define the interim steps required to achieve them. Another key success factor: Value Engagement is executed exclusively on the 3DEXPERIENCE® platform, which addresses the issues that routinely derail other approaches to business transformation.
VALUE ASSESSMENT
Assess Transformation Value
(WHY)
VALUE DEFINITION
Define Value Roadmap
(WHAT)
VALUE COMMITMENT
Secure Value Roadmap
(HOW)
VALUE DELIVERY
Deliver Targeted Value
(TRANSFORMATION)
VALUE UP
Extend Sustainable Value
(GROWTH)
A value-driven process
We’ve learned that the best results begin with asking the right questions, so we launch each Value Engagement with probing, consultative questions that reveal the root causes of our clients’ challenges – a prerequisite to identifying the best approaches to resolving them.
We deliver our broad and deep industry expertise through accomplished Value Engagement experts in dedicated roles. We also pair these specialists with local experts who are close at hand and knowledgeable on national and regional requirements.
At Dassault Systèmes, we understand that our clients’ experience in working with us determines the quality of our relationship as your trusted advisor. We therefore take a consultative approach to collaborating, leveraging the power and benefits of the 3DEXPERIENCE platform on the cloud to nurture a frictionless and fully informed working environment that self-documents the entire engagement history.
Our Virtual Twin Experiences allow our clients of any size to model, simulate, represent, collaborate and expose Information Intelligence throughout a transformation project, combined with a customized consulting offer equipped and implemented on the 3DEXPERIENCE platform.
The Value Engagement journey is fully operated on the 3DEXPERIENCE platform on cloud, in a Software as a Service (SaaS) mode, allowing the client’s team members to:
- gain valuable experience in using their future systems and processes as they contribute to the project;
- collaborate at anytime from anywhere with internal and Dassault Systèmes teammates or Consulting & Systems Integration partners in private, shared communities on the cloud;
- generate an automatic, unified record of interactions and decisions as they work;
- and collect valuable ideas along the way, confirming what the industry values most and nurturing these concepts through the Dassault Systèmes innovation process for future solutions.
Another advantage: Value Engagement benefits from over 40 years of Dassault Systèmes Knowledge & Know-how with transformative digital projects across nearly a dozen industries. This experience enables us to apply the best strategies and practices from every industry to each client’s specific challenges, cross-pollinating each project with new perspectives and fresh, innovative ideas.
Value Engagement | A proven Enterprise transformation process that eliminates risks and ensures results
Discover why and how Dassault Systèmes is addressing customer industrial challenges with a consultative approach.
Learn more about Value Engagement in a CIMdata whitepaper
Value Engagement: Accelerating Transformation & Business Benefits.
A Framework to Ensure Business Success.
CIMdata is the leading independent global, strategic, management consulting and research authority focused exclusively on PLM and the digital transformation it enables.
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Dassault Systèmes Industry Services provides multiple levels of training, education, and certification designed to help maximize the value of the 3DEXPERIENCE® platform. Our objective is to help customers reduce risk by increasing user productivity and adoption.
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FAQ about a Digital Transformation strategy
Digital business transformation refers to the comprehensive integration of digital technology into all aspects of a business, fundamentally changing how the business operates and delivers value to customers. This transformation goes beyond mere automation or upgrading of systems; it involves a strategic overhaul of processes, competencies, and business models to leverage digital advancements fully.
Here are the key aspects of digital business transformation:
- Customer Experience: Enhancing the ways in which customers interact with the business through digital channels. This includes creating seamless, personalized, and efficient customer journeys across all touchpoints.
- Operational Processes: Streamlining and optimizing internal processes using digital tools and technologies. This could involve automating routine tasks, improving data flows, and enhancing collaboration across departments.
- Business Models: Innovating and evolving business models to take advantage of digital capabilities. This might mean developing new products or services, entering new markets, or creating new revenue streams through digital platforms.
- Data-Driven Decision Making: Leveraging data analytics to inform and guide business decisions. By collecting and analyzing data, businesses can gain insights into customer behavior, market trends, and operational efficiencies.
- Organizational Culture: Fostering a culture that embraces change, encourages innovation, and supports continuous learning. This cultural shift is essential for employees to adopt new technologies and processes effectively.
- Technology Integration: Adopting and integrating digital technologies such as cloud computing, artificial intelligence, machine learning, the Internet of Things (IoT), and blockchain to enhance various aspects of the business.
- Agility and Flexibility: Developing the ability to quickly adapt to changes in the market, customer demands, and technological advancements. This requires an agile mindset and methodologies to enable rapid responses and iterations.
Digital business transformation is not a one-time project but an ongoing journey that requires continuous evaluation and adaptation. Its goal is to create a more agile, efficient, and customer-centric organization that can thrive in the digital age.
Four elements of digital transformation are essential for successfully navigating and implementing change in the digital era; these include:
- Business Model Transformation: This involves rethinking the business model. Companies may need to shift from traditional business models to more modern, digital-centric approaches. This can include exploring new revenue streams, digital products and services, and changing how value is delivered to customers.
- Process Transformation: This refers to the change in internal processes to improve efficiency, agility, and productivity. It involves automating manual processes, optimizing workflows, and utilizing digital technologies to streamline operations. This can lead to better customer experiences and more efficient business operations.
- Domain Transformation: This encompasses the expansion into new digital domains. Businesses might venture into entirely new areas or industries, leveraging digital capabilities. This could mean exploring new markets, adopting new technologies, or even creating entirely new digital industries.
- Cultural/Organizational Transformation: This is perhaps the most critical element. It involves changing the organizational culture to embrace digital transformation. This means fostering a culture of innovation, agility, and a willingness to experiment and take risks. It also involves upskilling and reskilling employees to prepare them for the digital future and ensuring that the leadership is committed to and actively supporting the transformation.
These elements are interconnected and crucial for a comprehensive and effective digital transformation strategy. They help organizations adapt to the rapidly changing digital landscape, meet evolving customer expectations, and stay competitive in the digital age.
The four pillars of digital transformation are typically recognized as:
- Technology Integration: This involves the adoption of new technologies such as cloud computing, artificial intelligence (AI), Internet of Things (IoT), and big data analytics. These technologies are crucial for businesses to improve their operations, innovate, and offer enhanced customer experiences.
- Data and Analytics: Data is a critical asset in digital transformation. The ability to collect, analyze, and leverage data insights is essential for making informed decisions, understanding customer behavior, personalizing experiences, and driving business strategy.
- Process Automation: Automating business processes is key to increasing efficiency and productivity. This can include the automation of manual tasks, streamlining workflows, and optimizing business processes through technologies like AI and machine learning.
- Digital Culture and Leadership: Successful digital transformation requires a cultural shift within the organization. This involves fostering a digital mindset among employees and leadership, encouraging innovation, agility, and a willingness to adapt to change. Strong leadership is crucial to drive this cultural change and to navigate the challenges of digital transformation.
These pillars work together to help organizations transform their operations, create new business models, and provide better value to their customers in a digital world.
The 5 A's of digital transformation are often cited as key components to guide organizations through successful digital transformation initiatives. These five elements are:
- Automation: This involves leveraging technology to perform tasks without human intervention. Automation can increase efficiency, reduce errors, and free up human resources for more strategic tasks. It includes robotic process automation (RPA), machine learning, and artificial intelligence (AI).
- Analytics: Utilizing data analytics to gain insights and drive decision-making is crucial. This involves collecting, analyzing, and interpreting data to understand trends, improve processes, and make informed business decisions. Advanced analytics can include predictive analytics, big data, and data science.
- Agility: Agility refers to the ability to rapidly adapt to market changes, customer demands, and new opportunities. An agile organization can quickly pivot its strategies, processes, and technologies to stay competitive. This often involves adopting agile methodologies and fostering a culture of continuous improvement and innovation.
- Adoption: Successful digital transformation requires the adoption of new technologies, processes, and mindsets across the organization. This means ensuring that employees are trained, engaged, and willing to embrace new tools and ways of working. Change management is a critical component of this process.
- Artificial Intelligence: AI plays a significant role in digital transformation by enabling smarter automation, advanced analytics, and improved decision-making. AI technologies such as machine learning, natural language processing, and computer vision can transform how businesses operate and interact with customers.
Together, these 5 A's provide a comprehensive framework for organizations to navigate and implement digital transformation effectively.