Fivetran > Case Studies > Lendi's Transformation into a Data-Driven Business with Fivetran

Lendi's Transformation into a Data-Driven Business with Fivetran

Technology Category

Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Buildings
Cement

Applicable Functions

Sales & Marketing

Use Cases

Building Automation & Control
Time Sensitive Networking

Services

System Integration

The Customer

Lendi

About The Customer

Lendi is an Australian mortgage broker that has helped thousands of Australians secure their property dreams with more than $12 billion AUD in home loan settlements. The company's proprietary technology allows borrowers to search over 2,000 loan products from more than 40 lenders to find the best loan products for their needs. This level of choice helps deliver the best possible customer outcomes while driving competition and transparency in the market. However, the industry is fiercely competitive, and the battle for customers is intense. Success in this market depends on delivering the right experience to the right person at the right time on the right digital platform, which in turn depends on reliable, accurate insights into borrowers' needs and preferences.

The Challenge

Lendi, an Australian mortgage broker with over $12 billion AUD in home loan settlements, was facing a significant challenge in its data management. The company's business model, which involves offering customers a choice of over 2,000 loan products from more than 40 lenders, relies heavily on delivering the right experience to the right person at the right time on the right digital platform. This requires accurate insights into borrowers' needs and preferences, which in turn requires tapping into behavioral data on third-party engagement platforms such as Facebook, Google, and Bing. However, the data from these platforms were siloed and did not integrate easily. Even when the data could be brought into the same repository, the data structure was often inconsistent, necessitating data cleaning before it could be used. The responsibility of ensuring that stakeholders across the company could analyze and create actionable insights from this third-party data fell to Lendi’s Data Architect, Daniel Deng.

The Solution

To overcome the challenge of integrating and analyzing data from multiple third-party platforms, Lendi turned to Fivetran, a data integration service with an extensive library of connectors to Software as a Service (SaaS) platforms. Fivetran automatically pulls data from various engagement platforms in near-real time and loads it into a cloud-managed data warehouse by Snowflake. From there, Lendi's marketers, accountants, brokers, customer service representatives, and other business units can pull the data into business analytics tools for analysis. Setting up a new connector with Fivetran is a straightforward process that takes less than 30 minutes, compared to the week or more it would take for an engineer to custom-build a connector. This solution has resulted in significant time and cost savings for Lendi, and has transformed the company's approach to data management.

Operational Impact

The use of Fivetran has transformed Lendi into a data-driven company, enabling stakeholders across the organization to access the information they need to create actionable insights and improve the business. Decisions are now based on data rather than gut feelings, leading to better outcomes across the board. Furthermore, Fivetran's extensive library of connectors means that nearly any data request can be filled within an hour. This has freed up Lendi's engineers to focus on improving the company’s proprietary technology, rather than spending their time building custom data connectors.

Quantitative Benefit

Fivetran's solution allows for the setup of a new connector in less than 30 minutes, compared to a week or more for a custom-built connector.
The time and cost savings from using Fivetran are significant, especially when multiplied by the dozens of connections that Lendi requires.
Nearly any data request can be filled within an hour thanks to Fivetran’s extensive library of connectors.