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Send 55pbx data to AI, reports, spreadsheets and ETL

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55pbx

Support and Customer Service

Kondado enables you to extract detailed call center metrics from 55pbx and replicate them into your preferred analytics environment without writing code. Access granular data about every call including call IDs, costs, durations, and disconnection types alongside comprehensive agent activity tracking. You can also retrieve user names, pause reasons, queue assignments, and remaining pause times to build complete operational visibility into your contact center operations. This automated replication ensures your teams always work with current information for decision-making.

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Kondado’s 55pbx data source provides 2 pipelines with 70 total fields, covering Calls data with cost and duration metrics and Agent Status information including pause reasons and queue details.

Operations managers leverage this data to optimize staffing levels by analyzing call volume patterns and agent availability trends across different time periods. Data analysts create performance dashboards tracking average handle times, pause utilization rates, and cost per interaction across different queues and campaigns. Marketing teams evaluate campaign effectiveness by connecting call costs to conversion metrics and customer journey data, while support supervisors monitor agent productivity through status tracking and disconnection analysis to improve service quality.

The Kondado platform takes care of refreshing 55pbx data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing 55pbx data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

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The 55pbx data source offers specialized pipelines designed to capture every aspect of your contact center operations for comprehensive business intelligence. The Calls pipeline delivers essential metrics including call costs, total durations, and disconnection types that enable you to calculate cost-per-call and identify communication quality issues affecting customer satisfaction. The Agent Status pipeline tracks action durations, pause reasons, and remaining pause time alongside queue assignments, allowing you to measure productivity metrics and adherence to break schedules across teams. By combining these datasets, you can correlate call volume spikes with agent availability patterns to optimize workforce scheduling and reduce customer wait times during peak periods. With automated updates on a configurable schedule ranging from every 5 minutes to daily, you can monitor critical KPIs like average handle time and agent occupancy rates continuously without manual data extraction.

Connector schema

Available 55pbx data

available pipelines

extractable fields

Available integrations

Calls

Table contains data about calls, including call ID, call cost, and total duration. Information such as user name and disconnection type is also available.

Agent Status

Table presents agent status, including user name, action duration, and pause reason. Information about the queue and remaining pause time is also included.

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How to visualize 55pbx data in 3 steps

Connect 55pbx to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, or databases — no code required.

Add the 55pbx Data Source

Log into Kondado and select 55pbx from the data source catalog, then enter your support-service credentials to establish authentication.

Select Pipelines and Destination

Choose the Calls and Agent Status pipelines you want to replicate, then select where to send your data such as Power BI, BigQuery, or Google Sheets.

Access Data in BI, Sheets, and Databases

Access your replicated data in Looker Studio dashboards, Google Sheets spreadsheets, or PostgreSQL databases to build custom reports and run SQL queries.

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Pick an AI, Spreadsheet, Database, Data Warehouse or Data Lake to use 55pbx data

55pbx > AI (Claude, ChatGPT, MCP)

55pbx > Looker Studio

55pbx > Power BI

Other visualizations

55pbx > Amazon S3

55pbx > BigQuery

55pbx > Excel

55pbx > Google Sheets

55pbx > MySQL

55pbx > PostgreSQL

55pbx > Redshift

55pbx > SQL Server

Choose a tool to visualize your 55pbx data

If the software you need is not listed, drop us a messagem. You can use almost every tool

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55pbx > Klipfolio

55pbx > Looker Studio

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55pbx > Looqbox

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55pbx > Pentaho

55pbx > Power BI

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55pbx > Qlik Sense

55pbx > Qlik

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55pbx > Redash

55pbx > Superset

55pbx > Tableau

55pbx > BI TOTVS

55pbx > Zoho Analytics

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting 55pbx to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, and databases

What specific call center data can I extract from 55pbx using Kondado? ▼

Kondado provides access to 70 fields across two primary datasets. The Calls pipeline includes call IDs, costs, durations, user names, and disconnection types. The Agent Status pipeline captures action durations, pause reasons, queue information, and remaining pause time for workforce management analysis.

How do I connect 55pbx to Power BI or Google Sheets? ▼

After adding the 55pbx data source in Kondado, select your desired pipelines and choose Power BI or Google Sheets as your destination. The no-code setup requires only your 55pbx credentials to begin automated data replication.

How frequently does Kondado update 55pbx data? ▼

You can configure update schedules ranging from every 5 minutes to daily depending on your monitoring needs. This flexibility allows you to maintain near-real-time visibility for active contact center management or opt for daily batches for historical trend analysis.

What types of contact center analytics can I build with 55pbx data? ▼

You can build dashboards tracking agent productivity metrics, call cost analysis by campaign, queue performance comparisons, and adherence to break schedules. Combine call duration data with agent status to calculate occupancy rates and optimize staffing levels during peak hours.

Can I send 55pbx data to BigQuery or PostgreSQL for storage? ▼

Yes, Kondado supports replication to BigQuery and PostgreSQL along with MySQL, Redshift, SQL Server, and Amazon S3. This enables you to store 55pbx data alongside other business data for comprehensive warehouse analytics.

Which BI tools work with 55pbx data replicated through Kondado? ▼

Replicated 55pbx data works with Power BI, Looker Studio, Google Sheets, and Excel. You can also connect business intelligence tools directly to databases like BigQuery or PostgreSQL where Kondado delivers your data.

Do I need technical skills or API knowledge to replicate 55pbx data to my warehouse? ▼

No coding or 55pbx API expertise is required. Kondado provides a visual interface where you authenticate with 55pbx, select your pipelines, and choose destinations like BigQuery or Power BI without writing SQL or Python scripts.

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