Dashboards in minutes

Connect Huggy to Power BI: Dashboards in Minutes

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No credit card required | 14 days | 10 million records | 30 pipelines

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Connect Huggy to Power BI

Connecting your customer communication data to business intelligence tools helps marketing and support teams make faster, data-driven decisions about lead engagement and customer service quality. With Kondado, you can replicate data from Huggy directly into Power BI without technical complexity or intermediate databases. Simply select the pipelines you need, choose your preferred update frequency from every 5 minutes to daily, and start building visual reports that show how your omnichannel communication drives lead capture and customer satisfaction across all touchpoints. No coding is required: just connect your Huggy account, configure which data to replicate, and begin creating dashboards immediately.

4
available pipelines
33
extractable fields
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect Huggy now →

Try out all the features for free for 14 days

Kondado connects Huggy directly to Power BI, replicating your customer service and lead management data on a configurable schedule so your reports always reflect current information.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Try out all the features for free for 14 days

Available data

Huggy data available in Power BI

Each item below is automatically replicated by Kondado from Huggy into Power BI — no schema setup, no manual mapping.

4
available pipelines
33
extractable fields
∞
Auto-refresh

Available integrations

Agents
Table contains information about agents, including fields such as id, name, and department.
Contacts
Table presents contacts with fields such as id, name, phone, and email, enabling efficient lead management.
Chats
Table records chat details, including id, contactid, agentid, and timestamps such as createdat and closedat.
Chat Satisfaction Surveys
Table contains chat feedback, with fields such as chat_id, feedback_score, and feedback_text, allowing satisfaction analysis.
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

With Huggy data flowing into Power BI, you can analyze the complete customer journey from first contact through post-chat satisfaction. The Contacts pipeline reveals lead quality and conversion potential, while the Chat Satisfaction Surveys pipeline helps you identify service excellence and improvement opportunities across your support team. Combine these with the Chats and Agents pipelines to visualize response times, agent productivity, and communication channel effectiveness, enabling you to optimize staffing decisions, improve training programs, and continuously enhance customer experiences based on actual interaction data and detailed satisfaction scores.

Try out all the features for free for 14 days

How to create Huggy dashboards in Power BI

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Huggy as Data Source

Log into Kondado and add Huggy as a new data source by entering your API credentials. Select the pipelines you want to replicate, such as Contacts, Chats, or Chat Satisfaction Surveys.

2
Choose Power BI Destination

Select Power BI as your destination to establish the data flow. Kondado handles the technical connection automatically, requiring no database setup or manual configuration from your team.

3
Build Dashboards and Set Refresh

Open Power BI to create visualizations using your Huggy data, then configure the update schedule in Kondado to run every 5 minutes, hourly, or daily. Your dashboards will stay updated automatically with fresh customer communication metrics.

Access Huggy data in Power BI 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!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

Visualize Huggy data in other BI tools

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

Airtable
Huggy > Airtable
Alteryx
Huggy > Alteryx
Amazon Quicksight
Huggy > Amazon Quicksight
BIMachine
Huggy > BIMachine
Cortex
Huggy > Cortex
Data Studio
Huggy > Data Studio
Geckoboard
Huggy > Geckoboard
Grafana
Huggy > Grafana
IBM Cognos Analytics
Huggy > IBM Cognos Analytics
Klipfolio
Huggy > Klipfolio
Looker Studio
Huggy > Looker Studio
Looker
Huggy > Looker
Looqbox
Huggy > Looqbox
Metabase
Huggy > Metabase
Microstrategy
Huggy > Microstrategy
Pentaho
Huggy > Pentaho
Power BI
Huggy > Power BI
Qlik Cloud Analytics
Huggy > Qlik Cloud Analytics
Qlik Sense
Huggy > Qlik Sense
Qlik
Huggy > Qlik
QlikView
Huggy > QlikView
Redash
Huggy > Redash
Superset
Huggy > Superset
Tableau
Huggy > Tableau
BI TOTVS
Huggy > BI TOTVS
Zoho Analytics
Huggy > Zoho Analytics

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Why Kondado?

Focus on extracting value from your data and leave the rest to us

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Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

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Frequently Asked Questions (FAQ)

Answers about visualizing Huggy data in Power BI automatically

How do I connect Huggy to Power BI using Kondado? ▼
Start by adding Huggy as a data source in your Kondado account and authenticate with your API credentials. Then select Power BI as your destination and choose which pipelines to replicate, such as Contacts or Chat Satisfaction Surveys. Your data will begin flowing immediately, with automated updates keeping your reports current.
What Huggy data can I visualize in Power BI? ▼
You can replicate four pipelines covering 33 fields including Contacts for lead details, Chats for conversation records, Agents for team information, and Chat Satisfaction Surveys for customer feedback. This enables you to analyze everything from individual agent performance to overall customer satisfaction trends.
How often does Huggy data update in Power BI? ▼
You control the refresh schedule based on your business needs, configuring updates to run as frequently as every 5 minutes for near-real-time monitoring, or less often for periodic reporting. This automation eliminates manual data exports and keeps your customer service metrics current without spreadsheet maintenance.
What KPIs should I track from Huggy in Power BI? ▼
Monitor first response times and resolution rates using the Chats pipeline, track agent workload distribution through the Agents pipeline, and measure customer happiness trends via Chat Satisfaction Surveys. You can also analyze lead quality metrics from the Contacts pipeline to optimize your capture strategies.
Can I share Huggy Power BI dashboards with my team? ▼
Yes, once built in Power BI, you can distribute your Huggy dashboards to marketing teams, support managers, and executives through Power BI's sharing features. Everyone accesses the same automatically updated data, ensuring aligned decisions about customer communication strategies.
Do I need technical skills to build Huggy reports in Power BI? ▼
No coding or database expertise is required to set up the connection through Kondado. Once your data flows into Power BI, you use the familiar drag-and-drop interface to create charts and visualizations showing your Huggy metrics, making it accessible for business users and marketing teams.
Can I combine Huggy data with other sources in Power BI? ▼
Absolutely. Blend your Huggy communication data with information from Google Sheets, BigQuery, or other business systems to see how customer service interactions correlate with sales performance, marketing campaigns, or financial results.

Try out all the features for free for 14 days