Case Studies Slash Record Access Times from Months to Hours

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	Slash Record Access Times from Months to Hours

Slash Record Access Times from Months to Hours

Technology Category	Analytics & Modeling - Machine Learning Application Infrastructure & Middleware - Data Exchange & Integration 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	The major challenges faced by the retail bank included the need to protect sensitive personal information (PII) and the long, cumbersome compliance process. Traditional masking and anonymization techniques were insufficient to protect PII, and preparing and obtaining clearance to use the data would have taken several months, even for an experienced internal team. The bank needed an automated solution to access records quickly and efficiently, allowing their talented team members to focus on more critical tasks. Read More
About Customer	The customer is a leading European retail bank that deals with millions of customer records. The bank's team of digital data experts was looking for a high-tech solution to reduce record access time, facilitate collaboration on data projects, and generate safe, high-quality test data for external sharing. The bank needed to determine the probability of certain customer behaviors and identify high propensity purchasers. With a large volume of data and the need for stringent privacy protection, the bank sought a solution that could streamline their data processes and enhance their data-driven decision-making capabilities. Read More
Solution	The bank implemented the Synthesized data platform, an AI-powered DataOps platform designed to automate all stages of data provisioning and curation. This platform enabled the bank to handle high volumes of complex data, including more than 4 million data rows and 500 columns with a mixture of categorical, numeric, and binary variables. The Synthesized platform provided access to high-quality datasets for project development within hours, significantly reducing the time to market. The platform also ensured faster approval processes with zero risk to customer privacy, thanks to its privacy-by-design approach, which ensured that no original data points appeared in the synthesized data. Additionally, the platform allowed for the development of high-performing models trained using synthesized data, which in some cases performed even better than those trained on the original data. The always-on project management feature connected all data sources and provided easy access to data projects, further enhancing the bank's data-driven innovation and effectiveness. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Application Infrastructure & Middleware - Data Exchange & Integration

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

The major challenges faced by the retail bank included the need to protect sensitive personal information (PII) and the long, cumbersome compliance process. Traditional masking and anonymization techniques were insufficient to protect PII, and preparing and obtaining clearance to use the data would have taken several months, even for an experienced internal team. The bank needed an automated solution to access records quickly and efficiently, allowing their talented team members to focus on more critical tasks.

About Customer

The customer is a leading European retail bank that deals with millions of customer records. The bank's team of digital data experts was looking for a high-tech solution to reduce record access time, facilitate collaboration on data projects, and generate safe, high-quality test data for external sharing. The bank needed to determine the probability of certain customer behaviors and identify high propensity purchasers. With a large volume of data and the need for stringent privacy protection, the bank sought a solution that could streamline their data processes and enhance their data-driven decision-making capabilities.

Solution

The bank implemented the Synthesized data platform, an AI-powered DataOps platform designed to automate all stages of data provisioning and curation. This platform enabled the bank to handle high volumes of complex data, including more than 4 million data rows and 500 columns with a mixture of categorical, numeric, and binary variables. The Synthesized platform provided access to high-quality datasets for project development within hours, significantly reducing the time to market. The platform also ensured faster approval processes with zero risk to customer privacy, thanks to its privacy-by-design approach, which ensured that no original data points appeared in the synthesized data. Additionally, the platform allowed for the development of high-performing models trained using synthesized data, which in some cases performed even better than those trained on the original data. The always-on project management feature connected all data sources and provided easy access to data projects, further enhancing the bank's data-driven innovation and effectiveness.

Impact #1	The bank was able to slash customer record access times from months to hours, significantly speeding up their data model development process.
Impact #2	The platform provided wider access to data for collaboration purposes, enabling the bank's team to work more efficiently on data projects.
Impact #3	The bank was able to share data externally and generate high-quality test data, ensuring that their models were trained with the best possible data.

Impact #1

The bank was able to slash customer record access times from months to hours, significantly speeding up their data model development process.

Impact #2

The platform provided wider access to data for collaboration purposes, enabling the bank's team to work more efficiently on data projects.

Impact #3

The bank was able to share data externally and generate high-quality test data, ensuring that their models were trained with the best possible data.

Benefit #1	Customer record access times were reduced from several months to just a few hours.

Benefit #1

Customer record access times were reduced from several months to just a few hours.

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Overview

Slash Record Access Times from Months to Hours

Operational Impact

Quantitative Benefit