Digital Transformation Domains

Five key areas (customers, competition, data, innovation, value) that define the new rules of the digital game and shape how businesses respond to change.

Customers in the digital age are no longer passive recipients of information and products; they are active participants in the innovation process, influencing brand development and creating value.

Customer loyalty is less prevalent in the current digital age; customers are more connected and active in their purchasing process, leading to less traditional loyalty.

Companies don't solely define their brands; customers actively participate in shaping the brand experience through feedback and participation.

Interaction between companies and customers in the digital age is two-way, with customers playing a significant role in shaping the business's approach.

Customers are the primary drivers of innovation and brand perception in the digital age, not the company itself.

The digital age fosters a reciprocal flow of value between businesses and customers, where customers contribute to value creation for the company.

A feature that allows a company to perform better than its competitors

Large technology companies that dominate the digital market. (e.g., Amazon, Facebook, Google)

Existing companies within an industry.

Innovation that creates a new market and eventually disrupts an existing market.

The ability of a company or product to increase output easily.

Costs associated with exchange or transactions.

A strategy where a company controls multiple stages of production.

Cooperation between competitors to create value.

The evolution of competition from simply selling goods to offering an ecosystem.

Using data to gain insight and a competitive edge.

Large volumes of data, often from various sources, analyzed to identify patterns and improve decision-making.

A system designed to aid decision-making by providing relevant information and analysis.

Separate, isolated data stores that hinder data integration and analysis.

Combining data from various sources into a unified, usable format.

Measures to protect digital systems and data from unauthorized access or threats.

Procedures for creating new ideas and applying them in the market.

Innovative ways of using technology, like computers and internet communication tools to analyze data and connect with customers, enabling rapid experimentation and learning.

A clear explanation of the benefits offered by a product or service to a customer.

A model used to analyze the factors that drive or slow down adoption of new ideas or innovations.

Services related to transportation, such as ride-sharing apps or self-driving cars.

Data is now a crucial intangible resource rather than simply tool for operational optimization.

A large volume of structured, semi-structured, and unstructured data that requires specialized tools for analysis, often stored in multiple locations.

Data stored in individual departments or systems without connections, hindering its use for comprehensive analysis.

Data that does not adhere to a predefined format, such as social media posts or images.

Tailoring customer experiences based on data-driven insights.

Using data to anticipate and prevent equipment failures.

Utilizing data analysis to support and inform business decisions.

Using big data to personalize customer experiences, recover from flight disruptions, predict maintenance needs, and improve operations.

Improved storage capacity due to advancements in cloud computing; provides more space for data.

The availability of more powerful computing resources to process data.

Improvements in network speeds and data transfer capabilities.