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

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

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

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
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 proprietary technology allows borrowers to search over 2,000 loan products from more than 40 lenders, making it a competitive player in the market. However, the industry's competitiveness and the need to deliver the right experience to the right person at the right time on the right digital platform required reliable, accurate insights into borrowers' needs and preferences. The problem was that building an accurate profile of each customer required tapping into behavioral data on third-party engagement platforms such as Facebook, Google, and Bing. This data was readily available to Lendi, but the insights from each platform were siloed and didn't integrate easily. Even when the data could be brought into the same repository, the data structure was often inconsistent, creating the need to clean the data before it could be put to use. Read More
About 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, delivering the best possible customer outcomes while driving competition and transparency in the market. The company's success is largely dependent on delivering the right experience to the right person at the right time on the right digital platform, which requires reliable, accurate insights into borrowers' needs and preferences. Read More
Solution	To overcome this challenge, Lendi's Data Architect, Daniel Deng, relied on Fivetran, a data integration service with an extensive library of hundreds of connectors to Software as a Service (SaaS) platforms. Fivetran automatically pulls data from Facebook Ads, Bing Ads, Google Adwords, Google Analytics, and other engagement platforms in near-real time, loading it into a data warehouse managed in the cloud by Snowflake. From there, Lendi marketers can pull the data into business analytics tools to measure and compare campaign success across platforms. Accountants, brokers, customer service representatives, and other business units can also pull in data for analysis. Setting up a new connector is easy and takes less than 30 minutes, compared to a week to several weeks if an engineer custom-builds a connector. This approach has helped Lendi realize significant time and cost savings. Read More Log in to view content
Contents

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

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 proprietary technology allows borrowers to search over 2,000 loan products from more than 40 lenders, making it a competitive player in the market. However, the industry's competitiveness and the need to deliver the right experience to the right person at the right time on the right digital platform required reliable, accurate insights into borrowers' needs and preferences. The problem was that building an accurate profile of each customer required tapping into behavioral data on third-party engagement platforms such as Facebook, Google, and Bing. This data was readily available to Lendi, but the insights from each platform were siloed and didn't integrate easily. Even when the data could be brought into the same repository, the data structure was often inconsistent, creating the need to clean the data before it could be put to use.

About 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, delivering the best possible customer outcomes while driving competition and transparency in the market. The company's success is largely dependent on delivering the right experience to the right person at the right time on the right digital platform, which requires reliable, accurate insights into borrowers' needs and preferences.

Solution

To overcome this challenge, Lendi's Data Architect, Daniel Deng, relied on Fivetran, a data integration service with an extensive library of hundreds of connectors to Software as a Service (SaaS) platforms. Fivetran automatically pulls data from Facebook Ads, Bing Ads, Google Adwords, Google Analytics, and other engagement platforms in near-real time, loading it into a data warehouse managed in the cloud by Snowflake. From there, Lendi marketers can pull the data into business analytics tools to measure and compare campaign success across platforms. Accountants, brokers, customer service representatives, and other business units can also pull in data for analysis. Setting up a new connector is easy and takes less than 30 minutes, compared to a week to several weeks if an engineer custom-builds a connector. This approach has helped Lendi realize significant time and cost savings.

Impact #1	The use of Fivetran has transformed Lendi into a data-driven company, giving stakeholders across the organization access to the information they need to create actionable insights to improve the business. This data-driven culture allows decisions to be based on data instead of gut feelings, creating better outcomes across the board. And thanks to Fivetran’s extensive library of connectors, nearly any data request can be filled within an hour. Using Fivetran to do this instead of relying on internal resources allows engineers to focus on the core business — working exclusively on improving the company’s proprietary technology.

Impact #1

The use of Fivetran has transformed Lendi into a data-driven company, giving stakeholders across the organization access to the information they need to create actionable insights to improve the business. This data-driven culture allows decisions to be based on data instead of gut feelings, creating better outcomes across the board. And thanks to Fivetran’s extensive library of connectors, nearly any data request can be filled within an hour. Using Fivetran to do this instead of relying on internal resources allows engineers to focus on the core business — working exclusively on improving the company’s proprietary technology.

Benefit #1	Fivetran enables data-driven decision making for stakeholders throughout the company
Benefit #2	Fivetran drives agile business model that allows the company to react quickly to market and competitor changes
Benefit #3	Fivetran allows the Engineering team to focus on the core business rather than building custom data connectors on demand

Benefit #1

Fivetran enables data-driven decision making for stakeholders throughout the company

Benefit #2

Fivetran drives agile business model that allows the company to react quickly to market and competitor changes

Benefit #3

Fivetran allows the Engineering team to focus on the core business rather than building custom data connectors on demand

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Overview

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

Operational Impact

Quantitative Benefit