Connecting your Ploomes CRM to Qlik Cloud Analytics takes just minutes with Kondado. Simply select Ploomes as your data source and Qlik Cloud Analytics as your destination to start replicating your sales data automatically. Business teams can access up-to-date information about deals, clients, and sales performance without writing a single line of code or managing complex infrastructure. Whether you need near-real-time updates for active sales monitoring or daily summaries for executive reviews, Kondado keeps your Qlik dashboards current on a configurable schedule that fits your business rhythm.
Kondado provides a direct integration between Ploomes and Qlik Cloud Analytics, replicating data from 36 pipelines including Deals, Clients, and Sales on a configurable schedule to enable automated reporting and visual analysis.
With 275 fields available across pipelines like Deal Stages, Products, and Interaction Records, you can build comprehensive visualizations that track your entire sales process from lead generation to closed deals. Marketing and operations teams gain immediate visibility into pipeline health, conversion rates, and individual team performance through interactive charts and reports that refresh automatically based on your chosen frequency.
Each item below is automatically replicated by Kondado from Ploomes into Qlik Cloud Analytics — 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.
Combine your Deals, Deal Stages, and Sales pipelines in Qlik Cloud Analytics to create dynamic funnel visualizations that reveal exactly where prospects drop off and which activities drive conversions. By analyzing Client data alongside Interaction Records and Proposal Products, you can identify your most engaged prospects and understand which product combinations close fastest. Operations managers use these insights to optimize team workflows and resource allocation, while sales leaders track individual performance against targets using automated scorecards. The combination of Client Segments with Deal Loss Reasons helps marketing teams refine their ideal customer profiles and improve lead quality over time.
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How to create Ploomes dashboards in Qlik Cloud Analytics
Visualize your data automatically — no spreadsheet exports or custom scripts.
1
Connect Ploomes as Your Data Source
Log into Kondado and add Ploomes as a new data source by entering your API credentials. Choose which pipelines to replicate, such as Deals, Clients, or Sales data.
2
Select Qlik Cloud Analytics Destination
Select Qlik Cloud Analytics as your destination to receive the Ploomes data directly. The platform establishes a direct integration that requires no intermediate storage or complex technical setup.
3
Configure Dashboards and Refresh Schedule
Access your replicated data in Qlik Cloud Analytics to build custom reports and visualizations. Set your preferred update frequency, choosing from every 5 minutes to daily, to keep your sales insights current automatically.
Try out all the features for free for 14 days
Access Ploomes data in Qlik Cloud Analytics 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 Qlik Cloud Analytics automatically
How do I connect Ploomes to Qlik Cloud Analytics using Kondado?▼
Start by adding Ploomes as a data source in your Kondado account using your API credentials. Then select Qlik Cloud Analytics as your destination and choose which pipelines to replicate, such as Deals, Clients, or Sales. The connection establishes immediately without requiring intermediate databases or complex technical configuration.
What Ploomes data can I visualize in Qlik Cloud Analytics?▼
You can access 36 pipelines including Deals, Clients, Sales, Products, and Interaction Records with 275 total fields available for analysis. This covers your entire sales cycle from lead sources and proposal approvals to deal loss reasons and team performance metrics.
How often does Ploomes data update in Qlik Cloud Analytics?▼
Kondado lets you configure automatic updates every 5 minutes, 15 minutes, hourly, or daily based on your reporting needs. You can adjust this frequency anytime to balance between having current data for active sales periods and optimizing processing during slower times.
What sales KPIs should I track in Qlik Cloud Analytics with Ploomes data?▼
Track conversion rates between Deal Stages, average deal size from Sales data, sales cycle length using Deals timestamps, and team performance by Users. Analyzing Deal Loss Reasons alongside Client Segments helps identify which prospect types convert best.
Can I share Ploomes dashboards with my team in Qlik Cloud Analytics?▼
Yes, once your data replicates to Qlik Cloud Analytics, you can distribute reports to stakeholders through Qlik's built-in sharing features. Team members see the same current data reflecting your configured refresh schedule, ensuring everyone works from consistent information.
Do I need technical skills to replicate Ploomes data to Qlik Cloud Analytics?▼
No coding is required to set up the connection or manage ongoing data replication. The process uses a simple point-and-click interface where you select your data source and destination, then choose your update frequency and relevant pipelines.
What types of reports can I build with Ploomes data in Qlik Cloud Analytics?▼
You can create sales funnel visualizations tracking Deals through different stages, performance dashboards comparing Users against targets, and client analysis reports combining Client Segments with Interaction Records. These reports update automatically based on your configured schedule, keeping your team aligned on current metrics.
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