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Business teams using Ploomes for complex sales management can now unlock powerful insights by connecting their CRM data to Qlik Sense. Kondado offers a direct connection that replicates your sales pipelines, client information, and deal tracking directly into your analytics environment without requiring technical expertise or complex database setup. You choose how often your data updates, from every 5 minutes to daily schedules, ensuring your dashboards reflect current business conditions and support timely business decisions.
Kondado connects Ploomes to Qlik Sense through a Via Kondado connection, eliminating the need for intermediate databases while allowing business users to configure automated data replication on schedules ranging from 5 minutes to daily intervals.
With 36 available pipelines covering deals, clients, products, and sales activities, marketing and operations teams can build comprehensive reports that track funnel performance, client segmentation, and revenue trends. This seamless connection transforms raw CRM data into visual analytics that support faster decision-making, clearer sales forecasting, and improved team collaboration across your organization.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combining Ploomes data with Qlik Sense visualization capabilities allows you to monitor sales performance through interactive dashboards built from your Deals and Sales pipelines. Analyze conversion rates across different Deal Stages, identify patterns in Deal Loss Reasons to improve your sales strategy, and track revenue by Product Groups to optimize your offerings. This connection empowers business users to spot trends in client acquisition, measure team productivity against Sales Stages progression, and make data-driven decisions without depending on IT teams for manual data preparation or complex technical configurations.
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.
Authenticate your Ploomes account in Kondado to establish a direct data source connection without technical configuration.
Choose Qlik Sense as your target platform and define which pipelines to replicate, such as Deals, Clients, or Sales data.
Set your preferred update frequency from 5 minutes to daily intervals, then start creating visualizations in Qlik Sense with your automated data flow.
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If the software you need is not listed, drop us a messagem. You can use almost every tool
Answers about visualizing Ploomes data in Qlik Sense automatically
Try out all the features for free for 14 days