Our Methodology

At Pascal, we leverage a methodology that combines the strength of the Business Model Canvas (BMC) technique with the complexity and temporal dynamics of network modeling. Our methodology is designed to systematically uncover transformative opportunities and impactful data science use cases and AI applications.

Business Model Canvas Analysis

Business Model Canvas Analysis

The process starts with the BMC technique, a visual chart template containing nine building blocks detailing the company's key partners, key activities, value propositions, customer relationships, channels, customer segments, cost structure, and revenue streams. This step helps us understand the core components of your business and the key drivers of value creation and capture.
Temporal Network Analysis

Temporal Network Analysis

Building on the initial BMC analysis, we shift our focus to the temporal dynamics of your business. Here, we map out interactions, dependencies, and transactions as a dynamic network that evolves over time. By tracking changes, fluctuations, and patterns over time, we're able to identify crucial business moments and potential areas of improvement or innovation. This model also aids us in understanding the effects of changes in one area of the network on others, enabling us to predict and manage potential risks and opportunities.
Data Integration

Data Integration

Having established a temporal network model, we integrate the data from various sources to enrich the network and provide a multi-faceted view of your business. This data integration further illuminates hidden patterns and trends that might not have been apparent from individual datasets and facilitates complex scenario modeling and planning techniques to be used to test unique combinations of events to build increased resilience across operations.
Uncovering Opportunities

Uncovering Opportunities

We use advanced analytics and AI algorithms to explore the temporal network, identifying patterns, anomalies, and correlations. These insights often point towards transformative opportunities, such as process efficiencies, new customer segments, novel products or services, or innovative business models.
AI Application Design and Implementation

AI Application Design and Implementation

Once potential opportunities and use cases are identified, we shift into designing and building AI applications that can leverage these insights.
Our AI solutions are custom-built to align with your specific business needs, ensuring they deliver the most value.
Iteration and Continuous Learning

Iteration and Continuous Learning

Our methodology is not a one-time process. We believe in continuous learning and evolution. We regularly revisit and update the business model canvas and temporal network models to reflect the changing dynamics of your business and the wider market.
Through this unique methodology, we're able to harness the power of your data, convert complex business operations into understandable models, and reveal transformative opportunities that are backed by robust data science and AI applications.