IN THIS ARTICLE

Data sources are systems you connect to bring data into Indicate. Connect sources to unify data and power analytics.

CONTENTS

What is a Data Source?

A data source in Indicate is any system, application, or database from which data can be pulled and integrated into your central analytics environment. Examples include SaaS tools, relational databases, cloud warehouses, or other operational systems.

• It enables you to connect raw operational data into your analytics workflows.
• It eliminates data silos by bringing disparate sources into a unified platform.

Here is a list of our current integrations: https://indicate-data.io/integrations

Why it matters in Indicate

• Once data from sources is connected, Indicate automatically transforms it into a consistent schema, making it usable for dashboards, reports and AI-ready insights.
• Having multiple data sources enables richer cross-system insights (e.g., combining CRM + finance + marketing data) and better decision-making.
• More importantly, Indicate is built like a modular toolbox, where each component (data source, data destination, data products etc.) can be combined and re-combined in flexible ways. You pick the pieces you need and plug them together, giving you the freedom to build your own data architecture without being locked into a fixed template.

How to Connect a Data Source

When you connect a data source in Indicate, the authentication and connection method depends on the system. Common methods include:

• Login Credentials (Username & Password): Enter your user credentials (or a generated access token) so Indicate can connect directly to the system endpoint.
• API Key or Token: Some systems support key/token-based authentication. Generate a token in the source system and insert it into Indicate instead of your password.
• OAuth (Authorization Code Flow): For many SaaS tools or cloud platforms: you’ll be redirected to a login dialog, grant access permissions, and Indicate automatically receives an access token (and possibly refresh token).
• Vendor/Enterprise Sales Requirement: For large enterprise systems or specialized data providers, you might need to contact the sales team first, to set up licensing, data-access agreements or SLA terms, after which you receive credentials or tokens to use in Indicate.

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Note:

• Before connecting a data source, ensure you have the correct access credentials (admin rights) and network permissions. </aside>