Simplifying Data Work: Matillion Increases Data Velocity Across Businesses

Businesses are facing increasing complexity when it comes to managing and leveraging their data. Extracting insights and making informed decisions requires seamless integration, transformation, and orchestration of data from various sources. Matillion, the productivity platform for data teams, simplifies and accelerates data work, empowering both coders and non-coders to move, transform, and orchestrate data pipelines faster. In this blog post, we will explore three case studies that demonstrate how Matillion helps businesses overcome data challenges and increase data velocity.

TUI Hotels and Resorts

With 400 hotels all over the world, TUI had an incredibly heterogeneous IT landscape with 40 different source systems and 500 source tables holding customer data that it needed to integrate and merge that data into a central database. Matillion ETL enabled TUI to connect and integrate dozens of data sources swiftly, simplifying and creating a single data operating system for the entire company. It enhanced data quality and a comprehensive 360-degree customer view empowered TUI teams to deliver better customer service and achieved a 99% decrease in monthly operational costs.

The Numbers

• Daily run times reduced from overnight processing to just 10 minutes.
• Costs decreased by a remarkable 99%, from 1500€ to 15€.
• Processing approximately 5.7 billion rows of data daily.

The Yomiuri Shimbun Group

The divisions within the Yomiuri Shimbun Group operated in silos, resulting in data being locked into individual systems and limited collaboration across the company. This was limiting productivity, slowing decision-making, and harming customer experience. By leveraging Matillion, the Yomiuri Shimbun Group built a powerful, manageable, and cost-effective data infrastructure. Over 100 pipelines were implemented to collect, organize, and transform data from 30+ sources daily, enabling data-driven decision-making and strategic growth. 

The Numbers

• Completed the data infrastructure build within a 4-month deadline.
• Better data delivered an increase of several hundred million JPY from digital ad sales, positioning them on track to double sales in 2023.
• Gaining control over its data has given Yomiuri Shimbun the insight to improve customer satisfaction.

Juniper Networks

Juniper Networks, an Emerald Award 2022 Winner, aimed to enhance customer experience by migrating to Salesforce and implementing a Customer Engagement Center. This required connecting and integrating multiple source systems to increase efficiency and improve customer experience. But theylacked a robust ETL tool that could connect and integrate with multiple source systems. That’s why Matillion ETL was chosen for its out-of-the-box connectors, quick integration, ease of use, and unique features. Grid variables and query components facilitated seamless data extraction and upload to Salesforce. Team members and analysts now have the data they need to understand customer needs more appropriately and improve overall efficiency. In total, Juniper integrated data from five systems – Salesforce, Teradata, Oracle, SharePoint, and Agile – and increased data sync to near real time.

The Numbers

• Reduced load time by 70% with no row-lock errors.
• Extracted 20 million SFDC records in just 75 minutes.
• Pushed 0.5 million records back to Salesforce Developer Community.

Accelerate Your Data Velocity with Matillion's Data Productivity Cloud

The case studies highlight the increasing complexity businesses face in managing data and how Matillion's Data Productivity Cloud simplifies data work, increases data velocity, and drives business and technical initiatives. By empowering data teams with a unified platform that handles the scale and complexity of data pipelines, Matillion enables businesses to make informed decisions and extract valuable insights from their data. 

Start your journey to greater data velocity today! Sign up for a demo of Matillion's Data Productivity Cloud and experience the power of simplified data work in minutes.