Introduction

This section and video below discuss the Sales Insights accelerator and Customer Insights accelerators in Pricefx, which install and create dashboards for analytical purposes. You will also learn how to explore and install the dashboards. Additionally, this article covers the process of reconfiguring the accelerators if needed.

Learning Objectives

Core topics and takeaways:

• Understand the purpose and functionality of the Sales Insight and Customer Insight accelerators in Pricefx.

• Learn how to explore, install, and configure analytical dashboards using these accelerators.

• Gain insights into customer classification based on health score and utilization of different dashboards for customer analysis.

• Familiarize with troubleshooting tips and advanced configuration options for the accelerators.

• Learn to create and utilize new data sources for charting and dashboard preparation.

Video Highlights

 Learning Highlights

• Discussion of Customer Insights and Sales Insights and their ability to deploy analytical dashboards:

  • The Sales Insight accelerator helps set up data structures for analyzing sales data with minimal effort.

  • The video explores the dashboards available in the Sales Insight accelerator and their purpose.

  • A hands-on exercise is conducted to explore the existing dashboards and perform meaningful analytical explorations.

  • The installation process of the accelerators will be covered later in the video.

• Sales Insights installation:

  • The installation allows users to specify which dashboards they want to install.

  • The documentation provides crucial information about the sales inside accelerator.

  • Users are encouraged to explore the dashboards in the demo FX partition before starting the installation.

  • Mandatory data is required for all of the dashboards in the sales inside accelerator.

• Installing dashboards and shared libraries:

  • The dashboard selection page allows you to choose which dashboards to install in your partition.

  • Installing all dashboards does not mean you have to use all of them.

  • Different logics, including dashboard logics, data load logics, and library logics, are installed during the process.

  • Shared libraries should be the same version if multiple accelerators are using them.

• Installation advanced configuration:

  • To reconfigure the accelerator, one would need to change the logic and the name of the element in the logic.

  • The accelerator installation also includes some advanced configuration options, including the waterfall configuration.

  • The waterfall configuration can be defined in a JSON file, but there is no UI for creating the waterfall definition.

  • Reinstalling the accelerator would provide a UI for creating the waterfall definition.

Core Learning Concepts

The following are the core learning concepts from this learning path:

Sales Insights Accelerator

Sales Insights accelerator is a tool used to create dashboards for analyzing sales data. It helps organizations gain insights into their sales performance, trends, and key metrics. The accelerator streamlines the process of visualizing and interpreting sales data, enabling businesses to make informed decisions to improve their sales strategies and performance.

Key concepts of the Sales Insight accelerator include:

• Creating dashboards for analyzing sales data

• Visualizing sales performance metrics

• Identifying trends and patterns in sales data

• Improving decision-making for sales strategies

• Streamlining the process of interpreting sales data

• Enhancing sales performance through data-driven insights

Customer Insights Accelerator

The Customer Insights accelerator is a tool used to create dashboards for analyzing customer data. It helps organizations gain insights into customer behavior, preferences, and engagement. The accelerator enables businesses to understand their customers better, identify trends, and make data-driven decisions to enhance customer satisfaction and loyalty.

Key concepts of the Customer Insight accelerator include:

• Analyzing customer data to understand behavior and preferences

• Creating dashboards for visualizing customer engagement metrics

• Identifying trends and patterns in customer data

• Improving customer satisfaction and loyalty through data-driven insights

• Enhancing customer experience by making informed decisions based on customer data

Using Dashboards to analyze sales data

Dashboards are used to visualize and analyze sales data in a comprehensive and interactive way. They provide a clear overview of key sales metrics, trends, and performance indicators. Users can customize dashboards to focus on specific aspects of sales data, such as revenue, sales pipeline, customer acquisition, and more.

By using filters, drill-down capabilities, and interactive charts, stakeholders can gain valuable insights, identify patterns, and make data-driven decisions to optimize sales strategies and improve overall performance.

Using Dashboards to analyze customer data

Dashboards are utilized to analyze customer data by providing a visual representation of key metrics and insights related to customer behavior, preferences, and engagement. Users can view customer demographics, purchase history, interaction patterns, and other relevant data in a consolidated and interactive format.

By leveraging filters, drill-down functionalities, and visualization tools, stakeholders can identify trends, segment customers, track customer satisfaction levels, and make informed decisions to meet customer needs effectively.

Installing Sales Insights and Customer Insights dashboards

The installation process for Sales Insight dashboards typically involves the following steps:

• Preparation: Ensure all necessary software and tools are available for installation.

• Download: Obtain the Sales Insight accelerator package from the designated source.

• Installation: Run the installation wizard or script to install the Sales Insight accelerator on the appropriate server or platform.

• Configuration: Configure the accelerator settings, including data connections and dashboard customization options.

• Data Integration: Connect the accelerator to relevant sales data sources to populate the dashboards with real-time data.

• Dashboard Customization: Customize the dashboards to display key sales metrics, performance indicators, and trends specific to the organization's sales operations.

• Testing: Validate the dashboards by running test queries, checking data accuracy, and ensuring that the visualizations are functioning correctly.

• Training: Provide training to users on how to access and utilize the Sales Insight dashboards effectively for sales analysis and decision-making.

Calculate local adjustments in waterfall configuration

Calculating local adjustments in the waterfall configuration involves making specific modifications to the data to reflect localized or customized changes in the sales process. These adjustments are typically made at the individual level or for specific segments within the sales data to account for unique circumstances or factors that may impact sales performance.

The process of calculating local adjustments in the waterfall configuration may include:

• Identifying the need for adjustments based on localized factors such as regional trends, customer preferences, or market dynamics.

• Analyzing the existing sales data to determine where adjustments are necessary and how they will impact the overall sales performance.

• Making changes to the data by applying localized adjustments to specific data points or segments within the sales waterfall.

• Revising the calculations and metrics in the waterfall configuration to reflect the updated data with local adjustments.

• Monitoring the impact of these adjustments on sales performance and analyzing the effectiveness of the localized changes in driving sales growth or addressing specific challenges.

By incorporating local adjustments into the waterfall configuration, organizations can tailor their sales analysis and strategies to better align with regional or customized requirements, ultimately improving the accuracy and relevance of their sales insights.

Reconfiguring PSP accelerator using advanced configuration options

Reconfiguring the accelerator using advanced configuration options involves customizing and optimizing the accelerator settings beyond the basic configurations. This process allows users to fine-tune the accelerator to better suit their specific requirements and enhance its performance.

Key steps in reconfiguring the accelerator with advanced options may include:

• Accessing Advanced Settings: Navigate to the advanced configuration options within the accelerator settings or configuration interface.

• Customizing Parameters: Modify advanced settings such as data integration methods, data processing algorithms, visualization options, and security settings to align with specific needs.

• Optimizing Performance: Fine-tune the accelerator to improve data processing speed, enhance dashboard responsiveness, and optimize resource utilization.

• Implementing Custom Features: Integrate custom scripts, plugins, or extensions to add unique functionalities or tailor the accelerator to address specialized use cases.

• Testing and Validation: Verify the impact of advanced configurations through testing, performance monitoring, and validation to ensure that the reconfigured accelerator meets the desired objectives.

By leveraging advanced configuration options, users can adapt the accelerator to their specific needs, unlock additional capabilities, and maximize the value derived from sales and customer insights analysis.

Classification of customers based on their health score

Classification of customers based on their health score involves evaluating and categorizing customers according to their overall status or well-being in relation to the business. The health score typically represents a composite metric that considers various factors such as customer engagement, satisfaction, activity levels, and revenue contribution.

The process of classifying customers based on their health score may include:

• Defining Health Score Criteria: Establish criteria or parameters that contribute to the calculation of the health score, such as purchase frequency, support interactions, feedback ratings, or retention rates.

• Assigning Weightage: Assign weightage to each criterion based on its importance in determining customer health and overall value to the business.

• Calculating Health Score: Aggregate and calculate the health score for each customer by applying the defined criteria and weightage to their interactions and behaviors.

• Segmentation: Segment customers into categories or tiers based on their health score ranges, such as high-value customers, at-risk customers, or inactive customers.

• Action Planning: Develop targeted strategies and actions for each customer segment based on their health score classification to improve engagement, retention, and overall customer satisfaction.

• Monitoring and Adjusting: Continuously monitor customer health scores, track changes in customer behavior, and adjust classification criteria as needed to ensure relevance and accuracy.

By classifying customers based on their health score, businesses can prioritize their efforts, personalize interactions, and tailor strategies to effectively engage with customers at different stages of their lifecycle, ultimately driving loyalty and long-term relationships.

Troubleshooting Sales Insights and Customer Insights Accelerators

Troubleshooting tips for Sales Insight and Customer Insight accelerators may include:

• Check Data Sources: Ensure that data sources are properly connected and up-to-date to avoid discrepancies in the dashboards.

• Review Configuration Settings: Double-check the configuration settings to verify that they align with the intended setup and requirements.

• Monitor Performance: Keep an eye on the performance of the accelerators to address any issues related to data processing speed or dashboard responsiveness.

• Validate Data Integrity: Validate the accuracy and integrity of the data being used in the accelerators to prevent errors in analysis.

• Update Software: Ensure that the accelerator software and any related tools are updated to the latest versions to benefit from bug fixes and enhancements.

• Check Permissions: Verify that users have the necessary permissions to access and interact with the accelerators and dashboards.

• Consult Documentation: Refer to the accelerator documentation for troubleshooting guides, FAQs, and best practices to resolve common issues.

• Seek Support: If troubleshooting on your own is challenging, consider reaching out to technical support or community forums for assistance with more complex issues.

Quiz

Test your knowledge of this section, here.