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Evaluating the Total Cost of Ownership with Matillion: A Comprehensive Guide

Introduction

As data engineers and heads of data engineering, you understand the challenges of managing and maintaining data pipelines while meeting the increasing demands for timely, reliable, and accurate data. Adopting modern data integration platforms like Matillion has become crucial in streamlining these processes, driving productivity, and achieving meaningful business outcomes.

In this fourth blog of our Total Economic Impact series, we will explore how you can evaluate the total cost of ownership (TCO) of your organization using Matillion. Drawing insights from a commissioned Total Economic Impact™ study conducted by Forrester Consulting on behalf of Matillion, we will provide you with a comprehensive guide to assess the financial impact and benefits of implementing Matillion in your data infrastructure.

Understanding the Total Cost of Ownership

When evaluating the TCO of any solution, it is essential to consider both the direct costs, such as licensing and infrastructure expenses, as well as the indirect costs associated with maintenance, support, and productivity improvements. 

1. Direct Costs: Matillion’s transparent consumption-based pricing model ensures you only pay for what you use. This pay-as-you-go approach eliminates unnecessary expenses and provides cost predictability. As you evaluate the TCO, consider the specifics of Matillion’s pricing model and its alignment with your data integration needs.

2. Indirect Costs: The commissioned study conducted by Forrester Consulting highlights the significant productivity gains achieved by data engineers using Matillion. With Matillion’s Data Productivity Cloud, data engineers saved up to 70% of the time they spend managing and maintaining pipelines, allowing them to focus on higher-value tasks. 

Forrester aggregated five interviewees’ experiences to reveal that data engineers using Matillion saved up to 60% of their time building pipelines. This increased efficiency enables your team to take on more ambitious projects, fine-tune language models, and meet growing business demands.

Benefits and ROI

The Forrester study found that a composite organization based on the interviewed customers using Matillion experienced a 271% return on investment (ROI) within three years. While the study highlights specific benefits, tailoring the evaluation to your organization’s unique needs and circumstances is crucial. Consider the following areas while evaluating the potential benefits:

1. Productivity Improvements: Matillion enabled 60% time savings for fulfilling data requests to the business, allowing teams to deliver insights promptly. By reducing manual effort and streamlining data processes, Matillion empowers your data engineers to focus on innovation and strategic initiatives.

2. Cost Savings: The study reveals reduced infrastructure and compute costs due to using Matillion. You can significantly reduce capital expenditures while achieving higher operational efficiencies by eliminating the need for obsolete legacy tools and optimizing data processing.

3. Broader Business Impacts: Matillion's impact extends beyond increased productivity and cost savings. Organizations reported a stronger data culture, improved data governance, enhanced data visualization, and increased business team effectiveness. These broader benefits contribute to better decision-making and overall business growth.

Conclusion 

To gain a comprehensive understanding of the potential TCO at your organization, we invite you to download the full 2024 study conducted by Forrester Consulting on behalf of Matillion.

Discover how Matillion can drive productivity, efficiency, and tangible business outcomes in your data infrastructure.

Remember, with Matillion, you are not just investing in a solution; you are investing in the future of your data engineering capabilities.

Download the full study “The Total Economic Impact™ Of Matillion” conducted by Forrester Consulting on behalf of Matillion, and unlock the potential of your data integration.