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Transformation methodologies are everywhere. McKinsey has its own, BCG has its own, and every major consulting firm offers its own framework. Yet transformation failure rates remain stubbornly high - between 60% and 70% according to studies. The problem isn't a lack of ideas. It's a lack of comprehensive operational systems - ones capable of translating a strategic vision into concrete actions, coordinating efforts without relying on hierarchical authority, and demonstrating

At a time when every organization wants to “get into AI”, the question is no longer about having access to the right tools. It’s about having the structure in place to turn that access into lasting value. A simple observation Most organizations embarking on AI transformation share the same starting point: a patchwork of initiatives with no common direction. An LLM project here, an RPA initiative there, experiments underway in several different directions at once. Each team mo

In their approach to transformation, a Chief Transformation Officer (CTrO) must be able to address certain structural tensions. Any organization undertaking a serious transformation will encounter friction. This friction is inherent to the process. The problem is that most companies treat it as an obstacle to be eliminated, when in reality it is a signal that must be interpreted and managed. At Gabriel Greenfield, we have identified four fundamental tensions that every CTrO m

Enterprise Architecture is a common language that enables an organization to see itself as it is, decide what it wants to become, and measure every step of its transformation. At Gabriel Greenfield, we have built the Meridian method around enterprise architecture. Our partnerships with Ardoq and Boldo are the practical embodiment of this approach. Background: Why enterprise architecture is becoming strategic again Too many transformation programs still operate in a state of p

Transformation is no longer a project; it is an ongoing process Leading consulting firms are unanimous: organizational transformation is no longer a one-off project that you start and then wrap up. It is a constant requirement of the modern business. PwC puts it plainly: when people, processes, and infrastructure are aligned, growth, ROI, and agility follow naturally. But when this triad is out of sync, the cost of a failed transformation is measured in lost market share, ero

The National University of Singapore (NUS) has developed a framework to identify the four major waves of transformation and gain a clear understanding of technological evolution in businesses. It follows a logical progression: from tools to processes, then to raw data, and finally to autonomous intelligence. Here is an explanation of these waves and an analysis of why certain critical concepts, such as sovereignty or cybersecurity, are not classified as “waves” of transformat

We've changed our name. But more importantly, we've taken things to a whole new level. Why the change? Because a name should reflect who you really are. Astrakhan reflected our roots: a demanding consulting firm operating between Paris and Hong Kong, built on the conviction that technological transformation has value only if it is deeply human. But over the course of our engagements over the past two years - in the financial sector, in energy, and in luxury - something became

What economist and Nobel laureate Philippe Aghion teaches us about creative destruction in the age of artificial intelligence explains why organizations need to appoint a Chief Transformation Officer. Philippe Aghion is one of the most influential economists of our time. A professor at the Collège de France, the London School of Economics, and INSERM, he has devoted thirty years of research to an idea as simple as it is unsettling: prosperity arises from destruction. His work

ADEME, the French Agency for Ecological Transition, tells us that the concept of eco-design emerged internationally in 2002 with the publication of a prestigious standard, ISO/TR 14062, which stated its objective was to integrate environmental considerations into product design and development. There you have it, the foundations were laid! But let's provide some historical context before discussing eco-design: in 2002, the dot-com bubble had just burst, and Amazon, for the fi

Context As part of a Data Science/Artificial Intelligence project, Gabriel Greenfield is supporting a client on renewable energy projects. To date, our work has focused on solar energy (photovoltaic) projects and purely technical projects (statistics, software development) within the client's organization. Our Achievements Automated daily calculation of metrics (e.g., average sensor temperature) at a photovoltaic site Creation of a module for detecting outliers in solar data

The Data Catalog is a data repository that captures the business context for the company. It allows you to capture the characteristics of data (concepts, definitions, terms, semantics) as used by a business domain, associating them with those of its implementation(s) and/or use(s) by systems (identifier, concepts, definitions, terms, semantics, format, syntax, type, list of allowed values, etc.). It can be an application or an application suite comprised of, among other thing

Defining a "Data Catalog" is a tricky exercise, as leaders and experts generally envision different use cases and characteristics. However, all Data Catalogs on the market seem to share two key characteristics: the management of business metadata (context, business, solution, technology, etc.) and the management of metadata for technical solutions or implementations (operational data storage systems, digital applications, transactional systems, analytical systems, etc.). What

The last decade has been marked by the "data-first" revolution. Companies rushed to collect metrics, create dashboards, and let algorithms guide their decisions. But what if this approach had inadvertently sidelined something equally valuable: a deep understanding of business processes and human expertise? The Unforeseen Consequences of "Data-First" This paper reveals a trend that many organizations will recognize. The aggressive focus on data and metrics in recent years has

Popularized in the 2010s, gamification, which introduces game elements into certain aspects of work, is gaining ground and beginning to be used in various fields. Combating boredom at work, remotivating employees, and giving meaning back to one's work are just a few examples of the benefits of gamification. And if this concept works so well, it's because it appeals to needs inherent in human nature. Discover now the principles of gamification and how you can use these needs t

APIs are often highlighted in the field of integration and middleware. However, on their own, they cannot represent the full diversity of integration patterns. In fact, several integration technologies must be combined to cover all use cases. For example, we can combine the two major patterns in the integration market (modular logic supported by API Management and mass logic supported by Data integration) to form a common approach to integration: a second-generation hybrid in

APIs are frequently highlighted in the integration and middleware fields. However, on their own, they cannot represent the full diversity of integration patterns. Indeed, it is necessary to combine several integration technologies to cover all use cases. For example, we can bring together the two main patterns in the integration market (modular logic supported by API Management and mass logic supported by Data Integration) to form a common integration approach: a second-gener

An Enterprise Architecture tool for a Digital Transformation roadmap: feedback from Ardoq A few months ago, we shared our thoughts on the new challenge that Digital Transformation represents for Enterprise Architecture. We highlighted the new challenges of an agile and collaborative approach to enterprise architecture in order to manage the dual alignment of changing and unpredictable developments in business models and operations on the one hand, and technological innovation

In recent years, the field of process mining has emerged, with techniques aimed at translating data captured during process execution into actionable insights. What is process mining? What data should be used for process mining? What types of analysis are possible with process mining tools? The article below will answer all these questions. Definition of Process Mining Modern information systems allow us to track, often in great detail, the execution of processes (sequences o

The General Data Protection Regulation, or GDPR, is a European Union regulation that came into force and has been applicable in all member states since May 25, 2018. It was designed to give individuals back control over their personal information and places responsibility on those responsible for processing this data. The entry into force of this regulation has given rise to new professions and new responsibilities. The blockchain technology revolution is underway: it is a te