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Data Integration use cases

Boomi Data Integration helps you connect and move data between different systems easily.

Here are ways to use Boomi Data Integration:

  • Create custom integrations
    Build your own data connections without writing code or setting up extra tools. For example, connect your Salesforce CRM to a Google Sheets file to automatically update lead data in real time—no coding needed.

  • Manage marketing data
    Bring together data from all your marketing campaigns and tools in one place. This makes it easier to track results and make faster decisions.

  • Move data to the cloud
    Quickly move large data to cloud platforms and ensure your data is up to date in real-time.

  • Keep CRM data in sync
    Make sure your customer data is accurate and available across different teams, so everyone works with the same up-to-date information.

  • Send data to a cloud data lake
    Collect data from sources like social media, sales tools, and marketing platforms, and send it to a data lake. This helps your team analyze performance and track ROI.

  • Build AI data pipelines
    Build data pipelines that support AI projects by bringing in data, enabling smart features like RAG (Retrieval-Augmented Generation), and managing AI workflows smoothly.

Use cases

Marketing data management

An e-commerce company acquired a rapidly expanding online retailer, and the marketing team had trouble seeing how their ads were performing across different platforms like Google, Bing, YouTube, Facebook, LinkedIn, and X (formerly Twitter), making it difficult to understand which campaigns and channels delivered the best return.

Instead of relying on manual spreadsheets or months-long custom data projects, NovaStyle adopted Data Integration no-code DataOps platform, paired with Snowflake, to consolidate all paid ad data into a centralized analytics hub. Using Data Integration prebuilt connectors and template workflows, they quickly joined and modeled the ad performance data from all major paid search and social platforms.

By integrating CRM and product usage data with ad spend, NovaStyle created a powerful and scalable system to monitor marketing ROI. Legacy and acquired teams have access to real-time campaign insights, enabling NovaStyle to optimize budget allocation, improve ROAS, and accelerate post-merger growth without needing dedicated data engineering resources.

Custom data integration

A logistics and supply chain management company operates across multiple regions, each using different logistics, CRM, and inventory management tools. Data inconsistencies and connector limitations between systems caused reporting delays and prevented leadership from gaining real-time operational insights.

To streamline operations, GFS implemented Data Integration custom data integration platform. They quickly ingested raw data from various APIs—including lesser-known regional systems. They configured custom sources with built-in support for authentication, pagination, and rate limiting, within minutes.

With automated end-to-end workflows, GFS used SQL and Python transformations to build reliable data models. These pipelines fed directly into the cloud data warehouse, offering full visibility into the shipment statuses, inventory levels, and customer interactions. As a result, GFS drastically improved data consistency across regions, cut down reporting delays, and empowered teams to make informed, real-time decisions.

Cloud data migration

A financial services firm needed to migrate its legacy on-premise databases to a modern cloud data warehouse. Their key challenges included managing schema changes, ensuring real-time synchronization, and maintaining data security throughout the migration process.

By leveraging Data Integration Cloud Data Migration solution, NGF executed a low-impact migration using Change Data Capture (CDC), keeping their data fresh and fully synchronized without downtime. Data Integration fine-tuned migration controls enabled them to replicate only relevant data using custom queries, raw data selection, and calculated fields. To address strict security and compliance needs, they used robust and secure transfer options, including private file zones and encrypted network routes.

With Data Integration, NGF achieved a seamless, scalable, and secure transition to the cloud—reducing data lag, minimizing risk, and improving access to real-time analytics across business units.

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