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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.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
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.
Try out all the features for free for 14 days
| Integration | Description |
|---|---|
| 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. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
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.
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.
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.
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Try out all the features for free for 14 days