CRM Analytics Dashboard Component Parameters
CRM analytics, dashboard component parameters are dynamic values that can be passed to a dashboard component to filter, customize, or modify the data displayed in that component. These parameters allow you to create interactive and personalized dashboards for analyzing customer data and making informed business decisions. Here's an overview of how dashboard component parameters work in CRM analytics:
1. Purpose of Parameters: Dashboard component parameters enable users to interact with a dashboard by providing input that affects the displayed data. This can include filtering data, adjusting time frames, selecting specific metrics, or customizing views based on user preferences.
2. Types of Parameters: There are several types of parameters that can be used in CRM analytics dashboards:
Date Parameters: Users can select date ranges or specific dates to view data within a certain time frame.
Dropdown Parameters: Users can choose from predefined options in a dropdown menu to filter data by categories, regions, products, etc.
Numeric Parameters: Users can input numeric values to set thresholds or limits for data visualization.
Text Parameters: Users can input text to search for specific records or entities within the CRM system.
3. Implementation: The implementation of dashboard component parameters varies depending on the CRM platform you're using. Here's a general process:
Create Parameters: Define the parameters you want to use in your dashboard. Specify the parameter type (date, dropdown, numeric, text) and set any default values if needed.
Map Parameters: Associate the parameters with specific dashboard components. For instance, you might link a date parameter with a line chart to filter data based on the selected date range.
Adjust Component Logic: Modify the logic of the dashboard component to incorporate the parameter values. This could involve applying filters, modifying queries, or adjusting calculations based on the parameter input.
User Interaction: When users access the dashboard, they can interact with the parameter controls (such as dropdowns or date pickers) to adjust the displayed data according to their preferences.
4. Benefits: Using dashboard component parameters in CRM analytics offers several benefits:
Personalization: Users can tailor the dashboard to their needs, focusing on specific data points or time periods.
Interactivity: Dashboards become interactive, allowing users to explore data and gain insights through dynamic adjustments.
Efficiency: Parameters reduce the need to create multiple versions of a dashboard for different scenarios, as users can customize it on-demand.
Data Exploration: Parameters encourage users to explore different angles of data analysis, leading to deeper insights.
5. Example Scenario: Imagine you're analyzing customer sales data. You can create a dashboard with parameters such as "Date Range," "Product Category," and "Region." Users can select a date range, a specific product category, and a region to analyze sales trends for that combination of parameters.
By incorporating dashboard component parameters, CRM analytics becomes more versatile, user-friendly, and insightful, empowering users to make data-driven decisions based on their specific needs.
Example : Lead Conversion Dashboard
Time Period (Dropdown: Daily, Weekly, Monthly)
Lead Source (Dropdown)
Users can select the Time Period dropdown to switch between daily, weekly, and monthly views of lead conversion data.
The Lead Source dropdown enables users to assess the effectiveness of different lead sources in terms of conversion rates.
The Salesperson dropdown lets managers analyze individual sales team members' performance in lead conversion.