Case Studies Test Rigorously and Risk-Free with High-Quality Synthesized Data

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	Test Rigorously and Risk-Free with High-Quality Synthesized Data

Test Rigorously and Risk-Free with High-Quality Synthesized Data

Technology Category	Analytics & Modeling - Data-as-a-Service Analytics & Modeling - Predictive Analytics Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation Quality Assurance
Services	Data Science Services System Integration
Challenge	Rather than depending on a third party vendor, the customer sought to create its own scoring engine, and was looking for a robust solution that would support them in successfully deploying self-built, proprietary systems. Historically, such ambitions proved impossible to achieve due to the high volume of realistic profiles required. More importantly, the small number of manually-created profiles performed poorly when tested for new segmentation models. To safely deploy the engine, they would need to carry out extremely thorough testing on millions of representative customer profiles. The new engine would need to be properly tested against all possible scenarios, including scenarios that did not exist within the customer data - All that, without putting customer data at risk. Deploying the system without rigorous testing and validation would have resulted in downtime, reputational risk, and the potential for incorrect outputs on a large scale. To overcome such key challenges, the customer partnered with Synthesized, using our ML-driven synthesization engine. Read More
About Customer	The leading credit provider sought to create its own scoring model and firmly believed that it could drive further growth by increasing the accuracy of its customer segmentation. They saw the potential of Synthesized data in facilitating this powerful business transformation. With the Synthesized platform, they obtained immediate access to an unlimited volume of Synthesized data automatically created, compared to roughly ten hours by their closest competitor. The data remained up-to-date, fast, and simple to provision on-demand, with zero risk of exposing any sensitive customer information. They also benefited from comprehensive test coverage, including outliers and edge cases, and 1000+ simulated data scenarios for both functional and non-functional testing purposes. Read More
Solution	The customer was able to rigorously test its segmentation engine before launch, using high-quality, representative data generated by Synthesized, all with zero risk of exposing any sensitive customer information. Using the Synthesized DataOps platform, they were able to achieve reduced time needed to access data, with data automatically created within minutes, versus up to two days through the manual approach. This was faster than any other competitive solution, which took on average around ten hours. The data remained up-to-date, fast, and simple to provision on-demand. They also obtained millions of high-quality datasets, with a large volume of highly representative synthesized data mirroring the qualities and utility of the original dataset. This included comprehensive test coverage, outliers, and edge cases, with 1000+ simulated data scenarios for both functional and non-functional testing purposes. Additionally, the solution reduced organizational complexity by consolidating test data projects into one single platform synchronized with data sources, enhancing collaboration in the cloud among distributed teams. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data-as-a-Service

Analytics & Modeling - Predictive Analytics

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Quality Assurance

Services

Data Science Services

System Integration

Challenge

Rather than depending on a third party vendor, the customer sought to create its own scoring engine, and was looking for a robust solution that would support them in successfully deploying self-built, proprietary systems. Historically, such ambitions proved impossible to achieve due to the high volume of realistic profiles required. More importantly, the small number of manually-created profiles performed poorly when tested for new segmentation models. To safely deploy the engine, they would need to carry out extremely thorough testing on millions of representative customer profiles. The new engine would need to be properly tested against all possible scenarios, including scenarios that did not exist within the customer data - All that, without putting customer data at risk. Deploying the system without rigorous testing and validation would have resulted in downtime, reputational risk, and the potential for incorrect outputs on a large scale. To overcome such key challenges, the customer partnered with Synthesized, using our ML-driven synthesization engine.

About Customer

The leading credit provider sought to create its own scoring model and firmly believed that it could drive further growth by increasing the accuracy of its customer segmentation. They saw the potential of Synthesized data in facilitating this powerful business transformation. With the Synthesized platform, they obtained immediate access to an unlimited volume of Synthesized data automatically created, compared to roughly ten hours by their closest competitor. The data remained up-to-date, fast, and simple to provision on-demand, with zero risk of exposing any sensitive customer information. They also benefited from comprehensive test coverage, including outliers and edge cases, and 1000+ simulated data scenarios for both functional and non-functional testing purposes.

Solution

The customer was able to rigorously test its segmentation engine before launch, using high-quality, representative data generated by Synthesized, all with zero risk of exposing any sensitive customer information. Using the Synthesized DataOps platform, they were able to achieve reduced time needed to access data, with data automatically created within minutes, versus up to two days through the manual approach. This was faster than any other competitive solution, which took on average around ten hours. The data remained up-to-date, fast, and simple to provision on-demand. They also obtained millions of high-quality datasets, with a large volume of highly representative synthesized data mirroring the qualities and utility of the original dataset. This included comprehensive test coverage, outliers, and edge cases, with 1000+ simulated data scenarios for both functional and non-functional testing purposes. Additionally, the solution reduced organizational complexity by consolidating test data projects into one single platform synchronized with data sources, enhancing collaboration in the cloud among distributed teams.

Impact #1	Immediate access to an unlimited volume of Synthesized data automatically created.
Impact #2	Data remains up-to-date, fast, and simple to provision on-demand.
Impact #3	Zero risk of exposing any sensitive customer information.

Impact #1

Immediate access to an unlimited volume of Synthesized data automatically created.

Impact #2

Data remains up-to-date, fast, and simple to provision on-demand.

Impact #3

Zero risk of exposing any sensitive customer information.

Benefit #1	Data automatically created within minutes, versus up to two days through the manual approach.
Benefit #2	Faster than any other competitive solution, which took on average around ten hours.

Benefit #1

Data automatically created within minutes, versus up to two days through the manual approach.

Benefit #2

Faster than any other competitive solution, which took on average around ten hours.

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Overview

Test Rigorously and Risk-Free with High-Quality Synthesized Data

Operational Impact

Quantitative Benefit