---
title: What's data-informed integration?
description: What is data-informed integration, and how can you use it to improve efficiency, reduce downtime, and future-proof your business with tools like Starlify.
image: https://blog.entiros.se/hubfs/data-informed-first-step.png
---

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 Jan 16, 2025 | [Application Network](https://blog.entiros.se/en/blog-media/topic/application-network) | [Certified Integrator](https://blog.entiros.se/en/blog-media/topic/certified-integrator) | [Starlify](https://blog.entiros.se/en/blog-media/topic/starlify) | [Digital Transformation](https://blog.entiros.se/en/blog-media/topic/digital-transformation) | [Best Practice](https://blog.entiros.se/en/blog-media/topic/best-practice) | [Integration](https://blog.entiros.se/en/blog-media/topic/integration)

# What's data-informed integration?

 by [**Pierre Dahlman**](https://blog.entiros.se/en/blog-media/author/pierre-dahlman)

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Data-informed integration is a way of working with integrations that puts insights at the center of decision-making. Instead of guessing or reacting to problems, you use data from your integration landscape to understand how your systems interact, identify areas for improvement, and make smarter, more strategic choices.

This approach relies on tools like [Starlify](https://www.starlify.com) and methods such as visualization, meta-data analysis, and structured evaluation to give you a clear picture of your integration environment. It’s not about replacing your current systems—it’s about gaining the clarity you need to optimize them.

 

## How Does it Work?

Becoming data-informed about your integrations means asking the right questions:

*• Are my systems working as efficiently as they could?*

*• Are there bottlenecks or inefficiencies slowing us down?*

*• Where are we wasting time or resources?*

With the right tools and methods, you can uncover answers by analyzing the meta-data your integrations produce. This data reveals connections, system dependencies, and areas for workflow improvement.

 

1. ### **Visualize your integration landscape: **
   
   ![Starlify Data Lakes](https://blog.entiros.se/hs-fs/hubfs/Starlify%20Data%20Lakes.png?width=1000&height=563&name=Starlify%20Data%20Lakes.png)
2. ### **Analyze meta-data: **
   
   Dive into connections and data flow patterns to find inefficiencies or bottlenecks.
   
   ![Skärmavbild 2024-10-03 kl. 09.34.37](https://blog.entiros.se/hs-fs/hubfs/Sk%C3%A4rmavbild%202024-10-03%20kl.%2009.34.37.png?width=1000&height=443&name=Sk%C3%A4rmavbild%202024-10-03%20kl.%2009.34.37.png)
3. ### **Take action**
   
   Use these insights to optimize workflows, improve performance, and make better decisions for future changes.**  
   **
   
   ![data-informed](https://blog.entiros.se/hs-fs/hubfs/data-informed.png?width=1000&height=750&name=data-informed.png)

## **Why is it Important?**

Data-informed integration isn’t just a buzzword—it’s a more innovative way of working with your integration landscape. You’re no longer flying blind or relying on vast data sheets or your colleague's memory. Instead, you’re gaining **actionable insights** into your integration landscape. By analyzing the meta-data, you can understand how your integrations work, identify inefficiencies, and uncover opportunities to optimize.

 

This approach shifts your focus from fixing problems after they happen to proactively preventing them. It allows you to:

• Reduce downtime, where you quickly pinpoint and resolve issues before they disrupt your operations.

• Improve performance by streamlining workflows to make your systems faster and more reliable.

• Save time and resources by eliminating redundant processes and focusing on what drives value.

• Future-proof your business and build a scalable, efficient foundation for adopting advanced technologies like AI-driven integration.

 

By being data-informed, you’re setting your business up for long-term success. It’s not just about solving problems—it’s about creating a more efficient and affordable integration environment that grows with you.

 

## **The First Step Toward Smarter Integrations**

You set the stage for bigger things by becoming data-informed about your integrations. It’s the first step toward using real-time data to make decisions (**data-driven integration**) and eventually applying AI to enhance and automate your integration landscape (**AI-driven integration**).

![data-informed-first-step](https://blog.entiros.se/hubfs/data-informed-first-step.png)

With tools like [Starlify](https://www.starlify.com)**, **[Certified Integrator](http://www.certifiedintegrator.com), and [AI for integration](https://www.starlify.com/product/ingo-ai), we at Entiros help you work smarter with your integrations—turning data into insights and insights into action.

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