The Digital Mindset: Thinking in Data and Code

Digital World |

Digital thinking is a way of thinking and making decisions in a digital environment. It emphasizes using digital technologies and data analytics to quickly acquire, integrate, and analyze information to more effectively solve problems and drive innovation. It's a comprehensive thinking model that includes multiple mental models and methods.


This understanding actually includes the following levels:
  1. Solving Business Problems:
Digital thinking emphasizes using digital technologies to solve various business problems and challenges, such as improving efficiency, reducing costs, and improving products and services.
This mindset encourages companies to actively adopt digital tools and methods.
  1. Data-Driven:
Data is at the core of digital thinking.
It emphasizes treating data as a key resource for decision-making and business improvement.
By quickly acquiring data, integrating data from multiple dimensions, and conducting data analysis, companies can better understand their operations and make evidence-based decisions.
  1. Comprehensive Thinking:
Digital thinking is a comprehensive way of thinking. It requires employees to have interdisciplinary knowledge, such as: more fundamental open, boundary-breaking, and integrated thinking, disruptive innovation, and alternative thinking, as well as familiar concepts like user thinking, product thinking, and agile thinking.
These mental models comprehensively consider multiple factors and fully utilize various mental models to find the optimal solution.
  1. Leveraging Digital Technologies:
Digital thinking uses digital tools to automate decision-making and evaluation.
This includes utilizing artificial intelligence, machine learning, and automated processes to improve efficiency and accuracy.
  1. Continuous Learning and Adaptability:
Continuous learning and adaptability are crucial in digital thinking.
Due to rapid technological advancements, employees and organizations must continuously update their knowledge and skills to keep pace with the times.
Digital thinking is essential for a company's digital transformation. It encourages employees and organizations to be more agile, innovative, and better utilize the potential of digital technologies. In short, digital thinking is a data-centric, problem-solving, and innovation-driven approach that helps companies succeed in the digital age.

What are the underlying mental models of digital thinking?
Digital thinking is a comprehensive mental model that may specifically include the following underlying mental models: data-driven decision-making thinking, open and boundary-breaking integration thinking, discontinuous ecosystem thinking, disruptive innovation and lane-changing thinking, and distributed multi-center thinking.
  • Data-Driven Decision-Making Mindset:
Shift from experience-based decision-making to data-driven decision-making. Managers must lead by example, believing in the power and value of data. All employees should regard data utilization as a fundamental work skill and part of management culture, using data to drive business value realization.
  • Open and Boundary-Breaking Integration Mindset:
Shift from closed-boundary thinking to open and boundary-breaking integration, blurring or even breaking down the boundaries between producers and consumers, supply and demand, internal and external stakeholders, industries, hardware and software technologies, and online and offline channels. Co-create value with customers and employees.
  • Discontinuous Ecosystem Mindset:
Shift from incremental linear thinking to discontinuous ecosystem thinking. Address the breakpoints, abrupt changes, and discontinuities in business paradigms and enterprise development. Develop a long-term strategic vision for the future and build an ecosystem.
  • Disruptive Innovation and Alternative Thinking
Shift from predicting future events based on frequent, high-probability events to focusing on occasional, low-probability "black swan" events. Embrace risk, break through resource limitations, boldly explore, and iterate rapidly through continuous lean innovation to unlock the "second curve" of enterprise growth.
  • Distributed Multi-Center Thinking:
Shift from a vertical, single-center mindset to a distributed, multi-center mindset, and from an asymmetric, single-focus, pressure-based mindset to a symmetric, multi-dynamic, dynamic mindset. This approach focuses on and emphasizes organizational empowerment, the power of individuals and self-organizing teams, and promotes innovation at the edge.

Recent Articles

Digital World
What Connects Digital and Technology? More Than You Think
There is a close connection between the digital economy and digital technology. The digital economy refers to an economic form based on digital technology, with digital information as the main production factor and transaction medium. It encompasses activities in digital industries, digital commerce, and digital finance. Digital technology is the foundation and tool for realizing the digital economy.
Digital World
The Evolution of the Digital World: From Data to Intelligence
In the era of rapid development of the digital economy, digital transformation has become an indispensable option for every organization in today's society. Organizations of all sizes are increasingly reliant on digital technology for survival and development, and for winning in the competitive digital economy.
Digital World
How the Digital World Redefines Human Interaction
In today's global digital wave, artificial intelligence (AI) technology is reshaping the ecosystem of various industries at an unprecedented pace. Among these applications, AI digital human interactive experiences, as a cutting-edge technology, are gradually moving from science fiction to reality, bringing people immersive and intelligent new ways of interaction. This technology not only redefines the boundaries of human-computer interaction but also provides a new path for enterprise digital transformation.
Digital World
Are We Losing Humanity in a Fully Digital World?
In today's rapidly evolving digital world, smartphones have become an indispensable accessory for humans. Every morning, hundreds of millions of people check their phones first thing, and even scroll through social media in their last moments before bed. This dependence on digital devices has transcended the use of tools and evolved into a new form of "digital addiction." While we enjoy the conveniences brought by technology, we are also unknowingly losing control of ourselves. This alienation is not only changing individual lifestyles but also reshaping the very rules of human society. When algorithms begin to dictate our choices, when data becomes the measure of value, and when the virtual world becomes more alluring than the real world, we must ask: In this technological revolution, are humans masters or slaves?
Digital World
Living in the Digital Age: How It Shapes Our Daily Lives
In the digital age, the rhythm and boundaries of life have been redefined. The first thing we see upon waking isn't a calendar page, but a notification or app icon on our phone screen. We use our hands to tap, our voice commands to complete a series of actions, from ordering food, buying tickets, and making payments to managing our health and learning new skills. Digitalization isn't a separate domain, but a daily tool that permeates work, study, social interaction, travel, family, and personal time. It simplifies many complex processes while also bringing new challenges and choices.
Digital World
How Digital Development Is Changing the Global Economy
In today's era, the digital economy has become a core force driving global economic development. From its initial conception to its current boom, the digital economy has undergone tremendous changes, profoundly altering how people live and work, and reshaping the global economic landscape. Leveraging data as a key production factor and modern information networks as its carrier, it leverages information and communications technologies to achieve leaps in efficiency and optimize economic structure. This encompasses fields such as big data, cloud computing, artificial intelligence, and blockchain, and is widely applied in sectors such as finance, healthcare, education, and manufacturing.