What specific Superlogica data can I extract using Kondado?

You can replicate 9 distinct pipelines including Inactive Subscriptions, Charges, Clients, Cost Centers, Bank Accounts, Plans, and Products and Services. This encompasses 1,151 fields covering contract details, billing amounts, contact information, and financial categorizations.

How do I connect Superlogica to Power BI or Google Sheets?

After adding Superlogica as a data source in Kondado, select your desired pipelines and choose Power BI or Google Sheets as your destination. The platform handles the data replication automatically on your chosen schedule without requiring API coding.

What update frequency options are available for Superlogica data replication?

Kondado updates your Superlogica data on a configurable schedule ranging from every 5 minutes to daily intervals. This flexibility supports both near-real-time cash monitoring and standard daily financial reporting workflows.

Can I combine Superlogica client data with subscription metrics for analysis?

Yes, you can replicate both the Clients pipeline and Subscriptions: Contract Configuration pipeline to the same destination. This allows you to join demographic information with contract statuses in BigQuery or PostgreSQL for comprehensive customer lifetime value analysis.

Which BI tools and databases are compatible with Superlogica data from Kondado?

Send your Superlogica data to Power BI , Looker Studio , BigQuery , PostgreSQL , MySQL, Redshift, SQL Server, Amazon S3, or Google Sheets . This supports everything from executive dashboards to data warehouse analytics.

How can I analyze Superlogica charge data and payment statuses?

Replicate the Charges pipeline to access fields like due dates, amounts charged, and payment statuses. Load this data into your preferred database or spreadsheet to track accounts receivable aging and cash flow projections.

What insights can I gain from the Superlogica Inactive Subscriptions pipeline?

This pipeline provides cancellation dates and deactivation statuses, enabling you to calculate churn rates, identify seasonal cancellation patterns, and correlate drop-offs with specific billing events or plan types.

Can I track which Superlogica products generate the most recurring revenue?

By replicating the Subscriptions: Recurring Items Detail and Products and Services pipelines, you can analyze which specific products appear most frequently in active subscriptions and calculate their contribution to monthly recurring revenue.

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Connect Superlogica Data to Your Analytics Stack

Superlogica serves as the operational backbone for condominiums, real estate agencies, schools, and any business managing monthly recurring payments. Through Kondado, you can replicate detailed financial records including subscription configurations, client contact details, charge statuses, and bank account information directly into your preferred analytics environment. Access granular datasets covering inactive subscriptions, recurring item breakdowns, cost center allocations, and plan pricing structures to build comprehensive financial oversight. Transform raw billing information into actionable business intelligence without writing a single line of code, enabling deeper visibility into your recurring revenue operations.

Kondado provides direct access to Superlogica through 9 specialized pipelines encompassing 1,151 distinct data fields. Access contract configurations, client profiles, charge histories, and product catalogs with updates on a configurable schedule ranging from every 5 minutes to daily intervals.

The Kondado platform takes care of refreshing Superlogica data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Superlogica data in your report, spreadsheet, data warehouse, data lake, or database

Operations teams gain immediate visibility into cash flow patterns by analyzing charge due dates, subscription activation statuses, and cancellation trends across multiple properties or student accounts. Data analysts can correlate client demographic details from the Clients pipeline with plan utilization metrics to identify high-value segments, predict churn risks, and optimize pricing strategies. Finance managers leverage Cost Centers data alongside Bank Accounts reconciliations to streamline month-end closing processes, while marketing teams track product adoption through the Products and Services pipeline to refine campaign targeting for specific subscription tiers.

Available Superlogica Pipelines

The following pipelines extract every critical dataset from your Superlogica environment, delivering structured information ready for analysis. Analyze subscription health through the Inactive Subscriptions pipeline, which captures cancellation dates and status flags to identify churn patterns and retention opportunities. The Subscriptions: Contract Configuration pipeline reveals contract start dates and auto-renewal settings, while Subscriptions: Recurring Items Detail breaks down individual billing components and periodicity rules for accurate revenue recognition. Financial controllers utilize the Charges pipeline to track due dates and amounts across all issued bills, and the Cost Centers pipeline enables precise expense categorization for multi-entity management. By joining client contact information from the Clients pipeline with subscription status data, teams can build automated retention campaigns targeting at-risk accounts before cancellation. Cross-referencing Products and Services with Plans data reveals which offerings drive the most recurring revenue across different customer segments. With automated updates configurable from every 5 minutes to daily intervals, your KPIs remain current whether you are monitoring daily cash positions or tracking monthly recurring revenue trends.

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Available Superlogica data

available pipelines

1151

extractable fields

Available integrations

Integration	Description
Inactive Subscriptions	Includes fields such as id_mensalidade_mens, dt_cancelamento_plc, and fl_status_sac, enabling analysis of subscriptions that have been deactivated and their respective dates.
Subscriptions: Contract Configuration	Presents fields such as id_planocliente_plc, dt_contrato_plc, and fl_autocontratar_plc, which help understand the configuration of subscription contracts.
Subscriptions: Recurring Items Detail	Contains information such as id_produto_prd, nm_parcelas_pla, and fl_periodicidade_mens, allowing detailed analysis of items that generate recurring charges.
Cost Centers	Includes relevant fields for financial management, such as id_centro_custo and nm_centro_custo, facilitating expense analysis by cost center.
Clients	Presents data such as st_nome_sac, st_email_sac, and st_telefone_sac, essential for managing client information and communication.
Charges	Includes fields such as id_cobrança, dt_vencimento, and vl_cobrado, providing a clear view of charges made and their statuses.
Bank Accounts	Contains information such as id_conta_cb, id_banco_cb, and st_agencia_cb, essential for financial management and control of bank accounts.
Plans	Presents fields such as id_plano_pla, nm_parcelas_pla, and vl_preco_plano, fundamental for analyzing and comparing different available plans.
Products and Services	Includes data such as id_produto_prd, nm_produto, and vl_produto, allowing a detailed view of the products and services offered.

Inactive Subscriptions

Includes fields such as id_mensalidade_mens, dt_cancelamento_plc, and fl_status_sac, enabling analysis of subscriptions that have been deactivated and their respective dates.

Subscriptions: Contract Configuration

Presents fields such as id_planocliente_plc, dt_contrato_plc, and fl_autocontratar_plc, which help understand the configuration of subscription contracts.

Subscriptions: Recurring Items Detail

Contains information such as id_produto_prd, nm_parcelas_pla, and fl_periodicidade_mens, allowing detailed analysis of items that generate recurring charges.

Cost Centers

Includes relevant fields for financial management, such as id_centro_custo and nm_centro_custo, facilitating expense analysis by cost center.

Clients

Presents data such as st_nome_sac, st_email_sac, and st_telefone_sac, essential for managing client information and communication.

Charges

Includes fields such as id_cobrança, dt_vencimento, and vl_cobrado, providing a clear view of charges made and their statuses.

Bank Accounts

Contains information such as id_conta_cb, id_banco_cb, and st_agencia_cb, essential for financial management and control of bank accounts.

Plans

Presents fields such as id_plano_pla, nm_parcelas_pla, and vl_preco_plano, fundamental for analyzing and comparing different available plans.

Products and Services

Includes data such as id_produto_prd, nm_produto, and vl_produto, allowing a detailed view of the products and services offered.

See all available data →

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How to visualize Superlogica data in 3 steps

Connect Superlogica to dashboards, spreadsheets, or databases — no code required.

Add Superlogica as a data source

Log into Kondado and select Superlogica from the data source catalog to begin configuring your connection using your Superlogica API credentials.

Select pipelines and destination

Choose from 9 available pipelines such as Charges, Clients, or Subscriptions, then send your data to Power BI, Google Sheets, BigQuery, PostgreSQL, MySQL, Excel, Redshift, SQL Server, or Amazon S3.

Build dashboards and analyze data

Create visualizations in Looker Studio or Power BI, explore datasets in Google Sheets or Excel, or run SQL queries on your data in PostgreSQL, BigQuery, MySQL, Redshift, or SQL Server to uncover insights about your recurring billing operations.

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