Introduction to Solution Architecture at Pricefx

• Presenting on solution architecture training and price effects.

• Discussion on the flexibility and features of Pricefx.

• Tools provided for solution design within Pricefx.

Importance of business analysis in project scoping and customer requirements

• Challenges in business analysis, especially in the pricing space.

• The significance of having conversations with customers for uncovering complexity.

• The role of business analysis in ensuring comprehensive requirements from customers.

• Introduction of the business analyst role at Pricefx and its importance

Best practices in pricing strategy and consultation

• Discussion on best practices in pricing.

• Importance of effective execution in software pricing.

• Consultative approach in providing guidance for pricing strategies.

• User story creation process and customer struggles

Discussion on software development, production costs, and customer feedback

• Overview of software development and production costs.

• Emphasis on customer feedback and communication.

• Seeking feedback for improvement and future content.

• Upcoming topics on business use cases and solutioning.

• Introduction to hypothetical company 'Red Shoes Company'

Challenges in fitting customer requirements into the Accelerator

• Complexity and time required to fit customer requirements into the accelerator.

• Standard analytics tools like sales dashboards are used without modification.

• Difficulty in incorporating customer requirements for processes like rebates or price setting.

• Deployment of dashboards with insights is excellent but adding more charts or boards is challenging.

• Modifying the system for customer needs poses a significant challenge

Guiding customers through data readiness process

• Understanding data effects on pricing.

• Reviewing business processes with operational users.

• Supporting customers in internal exercises.

• Providing guidelines and templates for data readiness.

• Refining process based on customer feedback

Discussion on the benefits of a flexible data model

• he flexible data model benefits in articulating to the customer,

• Customers can use their own concepts and terminology.

• Slimming down the field set to support the process.

• Matching the data model to what the customer already does.

• Flexibility of the data model allows for customization

Overview of data enrichment and transformation in platform management

• Introduction to visibility process execution.

• Coverage of setup and utilization of platform manager tool.

• Importance of data enrichment and transformation in integration.

• Recommendation to minimize enrichment and transformation for simplicity.

• Commonality of data enrichment practices among customers