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Business Use Case Summary

Master Data and General System Setup

In this use case, you can load and configure essential master data within the Pricefx system, which serves as the backbone of the pricing application, including product and customer information, transactional history, currency details, and units of measurement. Key challenges include identifying and importing necessary master data, determining inbound data values for analytical dashboards, and managing security through user permissions and Single Sign-On (SSO). The benefits of this implementation include developing an integration plan to migrate data into Pricefx’s flexible model, optimizing data configurations for performance, establishing robust user access controls, and providing access to 25 pricing performance benchmarks for comparative analysis.

🎯 Business Objectives

  1. Data Integration

  2. Optimized Data Configuration

  3. User Access Control

  4. Performance Benchmarks

  5. Reliable Comparison Metrics

⌚ Time Estimation

N/A

👥 Stakeholders

Pricing Managers and Sales Representatives who want to have basic master data in their system, like product master, customer master, transaction data, currency data and Product Unit of Measure data. Admins looking to set up roles and entitlements, SSO and Plasma set up.

During the Prescriptive Delivery Workshop (pre-SOW), Solution Sales will discuss more in detail with the Customer the requirements, and this page will serve as a starting point towards a fully Customer specific requirement list, together with the appropriate agreed delivery approach.

Business Context (Use Case Description)

Implementing this use case includes a comprehensive integration plan to migrate essential data into Pricefx’s flexible data model, optimizing data configurations to enhance system performance.

Robust user access controls are established to protect sensitive information, while users gain access to 25 pricing performance benchmarks presented in easy-to-understand visuals that help answer important analytical questions via Plasma.

Info

LEARN MORE: For more information on Plasma dashboards, click here.

Tip

NOTE: Commonly asked questions on Pricefx Plasma about data confidentiality and sharing can be found here.

Additionally, Pricefx Plasma allows for reliable comparison metrics, enabling users to measure their performance against industry standards.

However, you must first address challenges such as identifying and importing necessary master data—like product, customer, product cost, units of measure, transaction line items, and currency—and determining the inbound data values needed for analytical dashboards.

Info

LEARN MORE: For more information on Data Readiness Methodology, click here.

Info

LEARN MORE: For more information on Data Identification, click here.

Info

LEARN MORE: For more information on Data Quality, click here.

Info

LEARN MORE: For more information on Data Availability, click here.

Finally, security considerations are also crucial, requiring the identification of user permissions, defining user roles, and enabling Single Sign-On (SSO) for smooth access.

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Features and Capabilities (Overview)

The features and capabilities from this use case can be categorized into these areas:

PLAN

  • Plasma-Executive Summary, consolidates some of the most important KPIs

    • Plasma-Comparison Waterfall, visual representation that allows the display of two sets of data, namely KPI Data and Company Data, side by side.

    • Plasma-Percentage of Accounts with Negative Margin, KPI showcasing three separate bars on the X-axis representing the bottom quartile, median, and upper quartile.

    • Plasma-Percentage of Transactions with Negative Margin, KPI specifically focusing on the percentage of transactions with a negative margin.

    • Plasma-TTM per Unit Realized Price Percent Increase, provides valuable insights into the performance of the company's pricing strategy.

    • Plasma-Percentage of Deals Outside Guidelines, measure the percentage of deals that fall outside guidelines. Deals are considered outside guidelines when the InvoicePrice is less than or equal to the TargetPrice.

    • Plasma-Deal Velocity for Deals Needing Approval, display the average number of days it takes for deals requiring approval to move from creation to approval.

    • Plasma-Average Number of Steps in Approval Process, providing valuable insights into the performance and behavior of customer by displaying the average number of steps a quote goes through during the approval process.

    • Plasma-Company Waterfall, provides ability to analyze company waterfall in aggregate mode or drill-down mode for more detailed analysis.

    • Plasma-Percentage of Products to Reach Revenue Deciles, visualize the percentage of products required to cover a specific percentage of revenue within each decile, presenting a cumulative contribution.

    • Plasma-Percentage of Customers to Reach Revenue Deciles, visualize percentage of customers needed to cover a certain percentage of revenue across different deciles.

    • Plasma-Total Revenue, illustrate the sum of revenue and provide insights into the company's position within the industry.

    • Plasma-Number of Product TTM, displays the number of unique products that have generated some revenue in the period.

    • Plasma-Number of Accounts TTM, umber of unique products that have generated some revenue in the period.

    • Plasma-Number of Sales People TTM, the number of unique people who managed transactions in the period.

PRICE

  • Plasma-Number of List Price Increases per Product, shows average number of times a list price is increased per product and provides valuable insights into how effectively benchmarked companies manage their price increases.

    • Plasma-Number of List Price Changes per Product, displays your place among industry peers in the frequency of changing your prices per product. This allows you to understand to which extent prices are volatile within the industry or to which extent peers are managing their prices.

    • Plasma-TTM per Unit Realized Price Percent Increase, displays the actual average percentage increase of the realized price in the period, enables companies to analyze whether the realized price has increased in the last trailing twelve months.

    • Plasma-Price Increase Realization Waterfall, illustrating the price increase leakage and serves as a benchmarking tool for evaluating the effectiveness of price increases compared to other companies.

PROFIT

  • Plasma-Percentage of Deals Needing Approval, shows the percentage of deals that are required to go through an approval process with the aim to identify opportunities for optimizing processes.

    • Plasma-Number of Deals, displays the number of deals created in the selected period.

    • Plasma-Average Deal Size, display and benchmark the average deal size managed during the specified period in terms of revenue.

    • Plasma-Deal Velocity for All Deals, displays the average number of days that passed between the creation date and the submitted date, enables measuring processes effectiveness compared to the industry’s standards.

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Prerequisites for PDR Implementation

The overall design requirements are summarized in these articles:

This use case covers all basic inbound data that are needed to implement every use case in the Chemical Industry Catalog. It incorporates the following:

  • Inbound data:

    • Product Master

    • Customer Master

    • Product Unit of Measure

    • Customer Master

    • Transactional Data/Invoice Line Items

    • Currency data

  • Roles and Entitlements

  • Single Sign-On

  • Pricefx Plasma

For the inbound data aspects of this use case there are no calculations that are in scope. However, the required inbound data supporting this use case must be delivered in a format that aligns with project requirements of cleanliness, completeness, accuracy and timeliness.

With those attributes in mind, the inbound data should fulfill these data parameters:

Identification

  • Uniqueness

  • Granularity

  • Consistency

  • Scalability

  • Integration

  • Traceability

  • Flexibility

Availability

  • Reliability

  • Redundancy

  • Security

  • Integration

Quality

  • Accuracy

  • Completeness

  • Consistency

  • Integrity

  • Timeliness

  • Relevance

  • Accessibility

This use case has no reports or dashboards that are build directly with the exception of those dashboards that are implemented as part of the Pricefx Plasma implementation and these are separated into Plan, Price and Profit categories.

Limitations and Risks

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Dependence on accurate data

The effectiveness of analytical dashboards and performance benchmarks relies heavily on the accuracy and completeness of the imported master data. Inaccurate data could lead to misleading insights and poor decision-making.

Ongoing maintenance

Continuous updates and maintenance of the system and data may be required to ensure optimal performance

Performance metrics reliability

The reliability of comparison metrics may be affected if industry standards change or if the benchmarks provided do not align with the specific context of the business or if there are not enough participants in the metric aggregation.

Tip

Good to know: A minimum of 5 participants in the anonimization and aggregation process in Plasma is required to ensure security and relevance.

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Out of Scope

This represents the out-of-scope business functions and features for this use case. They can be configured, but by default they are not included in the Chemical Industry Catalog.

Reporting and Dashboards beyond Pricefx Plasma

These can be added upon agreement but are not considered for this particular use case and are subject to additional effort.

Notifications and alerts 

Can be configured but are out of scope for this use case.

API method integration

Any additional data transformations or integrations required to make data available needs to be considered as an additional configuration effort. 

Customer-facing templates

Out of scope for this solution implementation. 

Terms and Definitions

DRM →

 

Data Readiness Methodology (DRM) is a structured approach that organizations follow to prepare their data for effective use in various initiatives, such as data integration, analytics, and decision-making. It involves a series of steps and processes aimed at assessing, improving, and leveraging the quality, availability, and usability of data.