How to visualize Ploomes data in Superset? With Kondado, you connect your Ploomes CRM directly to Apache Superset without writing code or managing complex infrastructure. Our platform replicates your sales data, client information, and deal progress on a configurable schedule, delivering fresh information straight to your Superset dashboards. Business teams can then explore pipelines, track conversion rates, and monitor team performance using Superset’s intuitive visualization tools. Whether you manage complex B2B sales cycles or track proposal approvals, having your Ploomes data available in Superset transforms raw CRM information into actionable visual insights that drive faster decision-making.
Kondado provides a direct integration between Ploomes and Superset, replicating 36 data pipelines including Deals, Clients, and Sales with automated updates every 5 minutes to 24 hours, enabling non-technical teams to build interactive sales reports without manual data exports.
Each item below is automatically replicated by Kondado from Ploomes into Superset — no schema setup, no manual mapping.
36
available pipelines
275
extractable fields
∞
Auto-refresh
Available integrations
Positions
Table contains information about positions, including id, name, and associated user profile.
Cities
Table presents data about cities, including id, name, and associated state.
Cities: states
Table provides information about states related to cities, including id and state name.
Cities: countries
Table contains data about countries associated with cities, including id and country name.
Clients (companies and individuals)
Table presents information about clients, including id, name, email, and status.
Clients: ratings
Table provides data about client ratings, including id and rating name.
Clients: sources
Table contains information about client sources, including id and source name.
Clients: relationships
Table presents data about relationships between clients, including id and relationship type.
Clients: segments
Table provides information about client segments, including id and segment name.
Clients: status
Table contains data about client status, including id and status description.
Client Types
Includes fields such as id and name, allowing categorization of clients into different types for better management.
Departments
Contains fields such as id and name, facilitating the organization and structuring of departments within the company.
Documents
Presents fields such as id and filename, allowing management of documents associated with clients and sales.
Currencies
Includes fields such as id and currency, essential for financial management and conversion of values in different currencies.
Deals
Has fields such as id, ordernumber, and amount, allowing tracking and analysis of completed sales.
Deal Stages
Includes fields such as id, name, and ordination, which help define the progression of deals through different stages.
Deal Funnels
Presents fields that allow visualization and management of different sales funnels and their stages.
Deal Loss Reasons
Includes fields such as id and name, helping to identify and analyze the reasons why deals were not closed.
Deal Status
Presents fields that indicate the current status of deals, allowing better tracking of progress.
Products
Contains fields such as id and name, essential for managing and categorizing the products offered.
Product Groups
Includes fields such as id, name, and description, allowing for the categorization of products into specific groups for better organization and analysis.
Product Families
Contains fields such as id, name, and group_id, facilitating the organization of products into related families for more efficient management.
Proposals
Presents fields such as id, filename, and approval status, allowing for the management and tracking of proposals sent to clients.
Proposal Products
Includes fields such as proposal_id, product_id, and quantity, detailing the products included in each proposal for accurate tracking.
Proposal Approval Status
Contains fields such as id and name, allowing for the categorization of different approval statuses for submitted proposals.
Interaction Records
Includes fields such as id, type, and date, recording interactions made with clients for relationship analysis.
Tasks
Presents fields such as id, name, and status, allowing for effective management of tasks assigned to users within the platform.
Task Recurrence Intervals
Contains fields such as id and frequency, defining the periodicity of tasks for better work organization.
Task Types
Includes fields such as id and name, categorizing tasks into different types for easier management.
Email Reminder Types
Presents fields such as id and description, allowing the configuration of different types of email reminders for users.
Users
Table contains information about users, including fields such as id, name, and email, as well as role id and profile id.
User Suspension Reasons
Table lists the reasons for user suspension, with fields such as id and name, along with comments on the suspension.
User Profiles
Table presents user profiles, including fields such as id, name, and avatar url, along with phone and user language.
Sales
Table contains data on sales, including fields such as id, order number, date, customer id, and total sale amount.
Sales Stages
Table lists sales stages, with fields such as id, name, icon, and ordination of stages within a funnel.
Sales Products
Table contains information on sold products, including fields such as order id, product id, and quantity, along with unit price and discount.
When you combine Ploomes with Superset through Kondado, you unlock powerful visual analysis of your complete sales operation. Track how deals move through your pipeline by visualizing Deal Stages alongside Deal Loss Reasons to identify exactly where prospects drop off. Compare performance across different Client Types and segments to understand which customer profiles generate the most revenue, or monitor proposal success rates by connecting Proposals data with Proposal Approval Status.
This combination helps sales managers spot bottlenecks quickly and empowers marketing teams to attribute revenue to specific client sources. With 36 pipelines available, from Interaction Records to Sales Products, you can build comprehensive dashboards that show everything from individual rep productivity to overall funnel health, turning your CRM data into a visual command center for business growth.
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How to create Ploomes dashboards in Superset
Visualize your data automatically — no spreadsheet exports or custom scripts.
1
Connect Ploomes CRM
Add Ploomes as a data source in Kondado using your login credentials. Choose which sales pipelines to replicate, such as Deals, Clients, or Interaction Records.
2
Select Superset destination
Pick Superset as your destination and define how the data should be organized for visualization. Your Ploomes information will be ready to query immediately in Superset without any coding required.
3
Build dashboards and configure updates
Create charts and reports in Superset using your replicated data, then set your preferred refresh schedule from 5 minutes to daily intervals. Share insights with your team using Superset's built-in collaboration features.
Try out all the features for free for 14 days
Access Ploomes data in Superset and combine it with dozens of other data sources
If the source you want is not listed, drop us a chat message. We love to add new sources!
Answers about visualizing Ploomes data in Superset automatically
How do I connect Ploomes to Superset without technical setup?▼
Start by adding Ploomes as a data source in your Kondado account using your CRM credentials. Then select Superset as your destination and choose which pipelines to replicate, such as Deals, Clients, or Sales. Kondado handles the data transfer automatically, so you can begin building visualizations in Superset within minutes.
What sales KPIs can I track when visualizing Ploomes in Superset?▼
You can monitor conversion rates by comparing Deal Stages against Deal Loss Reasons, track average deal size using the Deals pipeline, and analyze sales velocity by connecting Sales data with Interaction Records. Create charts showing win rates by client segment or proposal approval timelines to optimize your sales process.
How often does Ploomes data update in my Superset dashboards?▼
Kondado updates your data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time monitoring to daily updates for periodic reporting. You can adjust the frequency based on how dynamic your sales data is and how quickly your team needs fresh insights.
Can I build a client segmentation dashboard using Ploomes data in Superset?▼
Yes, combine the Clients pipeline with Clients: segments, Clients: ratings, and Clients: sources to create detailed segmentation analysis. Visualize which client types generate the most revenue, track engagement by segment, and identify your highest-value customer profiles using Superset's filtering and charting capabilities.
Is there a way to share Ploomes dashboards with my sales team in Superset?▼
Once you build dashboards in Superset using your replicated Ploomes data, you can share them directly with team members through Superset's native sharing features. Set up automated email reports or embed dashboards in internal tools so your sales, marketing, and operations teams always have access to current performance metrics.
Can I visualize proposal success rates from Ploomes in Superset?▼
Absolutely, connect the Proposals pipeline with Proposal Products and Proposal Approval Status to track proposal win rates, average approval times, and product attachment rates. This helps sales managers understand which proposal strategies work best and which products drive the most successful quotes.
Do you offer pre-built report templates for Ploomes and Superset?▼
While we do not provide pre-built report templates for this specific combination, Kondado makes it easy to replicate all 36 Ploomes pipelines into Superset so you can quickly build custom dashboards tailored to your unique sales process. You can also send data to Power BI, Looker Studio, or Google Sheets if you prefer working in other visualization tools.
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