Platform/Connecting

Scattered data.
One starting point.

Connect your tools, import files and collect new data with surveys. In Keix, your sources become datasets for analysis and workflows.

Choose a data source
Choose a data source
Choose a data source

The data source catalogue, inside Keix.

Bring together what lives apart.

Business tools

Connect databases and applications through the integration catalogue. Choose a source and configure access to the data you want to analyse.

CSV and Excel

Start with the files you already use. Import tables, check the preview and use them as inputs for an analysis workflow.

Keix CRM and surveys

Contacts, companies, deals and responses collected in Keix are also data sources. Connect them with your other business information.

Customer data is part of the picture.

The CRM is part of Keix. Use people, companies and deals in your analyses without exporting them to a separate spreadsheet each time.

  • Select CRM entities as data sources.
  • Add external data and survey responses.
  • Reuse datasets in workflows.
CRM data as a source
CRM data as a source
CRM data as a source

The native source picker shows the data you can bring into your analyses.

With Agatha

Find the sources to start with.

Ask Agatha to search datasets and identify sources relevant to your question. Compare what you find and choose the data to bring into your analysis.

Meet Agatha
An example request
“Find a dataset on industrial turnover and show me the sources.”

A concrete starting point for choosing data before building the analysis.

Integrations · 51 in the catalogue · 39 coming soon

Find your sources.
Let’s check the connection.

Access, fields and setup depend on the source. Missing one? Request a connector →

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PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
SQLite
SQLite
MS SQL
MS SQL
Oracle
Oracle
Redshift
Redshift
ClickUp
ClickUp
Fathom
Fathom
Airtable
Airtable
Google Ads
Google Ads
GA4
GA4
Google Business
Google Business
Google Calendar
Google Calendar
Google Reviews
Google Reviews
Google Sheets
Google Sheets
Google Drive
Google Drive
Google Tasks
Google Tasks
Google Pollen
Google Pollen
Excel
Excel
Meta Ads
Meta Ads
Facebook
Facebook
Instagram
Instagram
WhatsApp
WhatsApp
LinkedIn Ads
LinkedIn Ads
Mailchimp
Mailchimp
Klaviyo
Klaviyo
Shopify
Shopify
WooCommerce
WooCommerce
ISTAT
ISTAT
Eurostat
Eurostat
World Bank
World Bank
AlmaLaurea
AlmaLaurea
OpenPNRR
OpenPNRR
MUR
MUR
openFDA
openFDA
ClinicalTrials.gov
ClinicalTrials.gov
PubMed
PubMed
ChEMBL
ChEMBL
CSV
CSV
XLSX
XLSX
SQL Upload
SQL Upload
HTTP Request
HTTP Request
GitHub
GitHub
GitLab
GitLab
Bitbucket
Bitbucket
Linear
Linear
Sentry
Sentry
PagerDuty
PagerDuty
Stripe
Stripe
Home Assistant
Home Assistant
In the catalogueComing soon
90 listed sources

A clear connection from the start.

The source

We check the integration, available fields and required permissions. Upcoming sources are marked in the catalogue.

The refresh

Define when to refresh the data. The method and frequency depend on the source and configured schedule.

The result

We establish which data you need and how to transform it. A connection is the first step towards an analysis your team can use.

Explore data processing

Start with your sources.

Bring a list of your tools and a sample of the data you use. In the demo, we’ll show how to connect them and what to build.

In practice

Can I connect sales and customer records?

Yes, when data is available through a supported source or an importable file. You need valid access and consistent fields. A workflow can then join the data using a common key, such as a customer identifier.

Explore further →