Interloop scales Microsoft OneLake, cuts analytics project time by 50%

"The hard ROI of Fivetran for us is time savings, but the real impact goes beyond that. As a Fivetran customer and partner, we gain peace of mind, strategic agility, and the confidence to focus on what truly matters — delivering unique, personalized solutions for our clients."
— Jordan Berry, CEO & Co-founder at Interloop

Interloop, a data infrastructure and analytics firm founded in 2015, helps organizations unify, analyze, and operationalize their data to drive better business outcomes. Specializing in automated data workflows and AI-driven analytics, Interloop simplifies complex data processes, enabling businesses to unlock insights faster and more efficiently.

As Interloop expanded its data infrastructure services, it faced several data integration challenges. Initially relying on a variety of tools across different cloud vendors, the company struggled with operational inefficiencies that hindered their ability to deliver timely results. A key challenge was unifying and standardizing data from disparate systems like CRM, ERP, marketing, and custom solutions. The time-consuming process of integrating and harmonizing data often delayed client insights. Additionally, Interloop aimed to streamline data lake management and ensure consistency across clients, addressing inefficiencies caused by inconsistent file formats and structures.

Specifically, Interloop sought an all-in-one solution that could:

• Accelerate time to value for clients
• Reduce maintenance overhead by automating data integration
• Improve client communication and visibility
• Free up engineering resources to tackle unique client challenges
• Implement a future-proof, standardized approach to data lake management aligned with Microsoft OneLake that supports multiple use cases, from dashboards to AI-driven analytics

Jordan Berry, CEO & Co-founder at Interloop, discovered Fivetran while evaluating data movement solutions for Microsoft Fabric. He was drawn to Fivetran’s deep integration capabilities, the Fivetran Managed Data Lake Service, and its support for the Delta Lake open table format. After testing Fivetran with a few clients, Berry quickly recognized it as more than just a tool but a true partner, offering efficiency, ease of use, and an extensive library of 700+ connectors that made it the ideal fit for Interloop’s needs.

Interloop wins more business and delivers faster insights with Fivetran

With Fivetran managing and integrating data across multiple systems, Interloop can focus on delivering seamless, customized solutions to their clients. As a tech-enabled services company, Interloop uses Fivetran in two key ways: to power their own platform, Mission Control, and to help clients manage their entire data estate.

Fivetran’s automated data integration enables Interloop to easily connect critical sources such as ERP systems (Oracle, SAP), marketing platforms, and sales systems. This is particularly crucial for clients in manufacturing, where ERP systems often lack the advanced reporting and analytics tools needed for decision-making. By extracting data from these systems and integrating it into visualization tools like Power BI, Interloop empowers clients to access tailored, actionable insights without the need for additional, expensive analytics licenses.

Fivetran’s seamless integration also improves the customer experience. For example, in industries like wine sales, Fivetran consolidates customer data from multiple sources into a single view, allowing sales and service teams to offer highly personalized experiences based on individual customer preferences.

"Instead of losing deals due to missing connectors or long development times, we can confidently say ‘yes’ to more opportunities and win more business. There’s definitely a percentage of our deals that we wouldn’t have been able to win without Fivetran because it would’ve taken us months to build a connector."
— Jordan Berry, CEO & Co-founder at Interloop

By eliminating the burden of pipeline management, especially for the data engineering team, Interloop has transformed project timelines — what once took months can now be quoted in weeks. With faster data extraction and a solid data foundation, analysts and data visualization teams, no longer bogged down by pipeline maintenance and manual reporting, can accelerate business processes and deliver insights in 50% of the time. As a result, teams can respond more quickly to business needs, meeting the growing demand for AI-driven and real-time data without compromising quality or speed.

"Fivetran lets us move at the speed of the business. What once took weeks or months to deliver can now be done in days. By reducing pipeline maintenance time from 20-30% to less than 5% [of analyst time], our teams can now focus on driving insights and delivering value faster — helping our clients grow their businesses and stay competitive."
— Jordan Berry, CEO & Co-founder at Interloop

Maximizing agility, security, and cost savings with Fivetran and OneLake

Interloop uses the Fivetran Managed Data Lake Service to streamline and standardize data ingestion into their proprietary Orbit Architecture, an advanced version of the medallion framework. By seamlessly integrating with Microsoft OneLake and automatically delivering data in Delta Lake table format, Fivetran ensures consistency and enables Interloop to maintain a single source of truth across use cases. “We’re seeing big effectiveness gains with our data lake,” Berry says. “Now we’re able to make decisions faster and answer more questions.”

The Fivetran Managed Data Lake Service automates critical processes that previously required substantial engineering resources. Interloop’s engineering team no longer has to manually build and maintain functions like column standardization, change tracking, and deleted row management. These automated capabilities ensure data remains clean, reliable, and instantly available for everything from dashboards to machine learning (ML) models.

With Fivetran and OneLake, Interloop strengthens security and governance by maintaining a single, governed copy of data. This eliminates the risks associated with multiple uncontrolled data copies and ensures secure data sharing with enforced access controls. As a result, organizations can manage sensitive information confidently, maintain compliance, and reduce security gaps. Interloop is increasingly leveraging secure data sharing with clients, and Berry views the managed data lake as the foundation of “a well-governed data estate.”

Beyond operational efficiency and security, Fivetran significantly reduces costs by handling data extraction outside of Microsoft Fabric’s compute usage (CUs). By covering the ingestion costs into the data lake, Fivetran helps Interloop’s clients lower capacity expenses and reallocate resources to data science initiatives, AI-driven insights, and customer-facing solutions instead of managing infrastructure. With cost-efficient ingestion and real-time access to business-critical data, Interloop and its clients can focus on innovation rather than data wrangling. For example, these savings allow Interloop to offer snapshotting, enabling clients to easily compare historical and current data without the storage limitations of traditional warehouses.

"One of the biggest cost reductions we see is that Fivetran handles data extraction outside of Microsoft Fabric, so our clients don’t have to pay for that as part of their capacity investment. It’s a key lever we can show them to help cut costs and let Fivetran take care of the heavy lifting."
— Jordan Berry, CEO & Co-founder at Interloop

Empowering AI-driven business agility and personalization

Interloop is pushing the boundaries of AI-driven data automation with Fivetran, using it to enhance enrichment, cleansing, and autonomous decision-making. By standardizing data delivery, Fivetran enables Interloop to apply AI for tasks like automatically categorizing customers and detecting business anomalies, such as sudden sales spikes or customer issues, allowing clients to act in real time.

As their partnership with Fivetran deepens, Interloop is expanding its focus on AI-driven personalization. For marketing teams, this means dynamically enriching customer profiles based on behavioral and demographic insights for more precise segmentation and tailored messaging. These capabilities help businesses shift from static reporting to proactive, AI-powered decision-making.

Looking ahead, Interloop is scaling its Managed Data Lake Service on Microsoft Fabric, enhancing governance and security while empowering clients to unlock even deeper AI-driven insights.

[CTA_MODULE]