Case Studies F500 Manufacturer Accelerates Product Development with Sigma

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	F500 Manufacturer Accelerates Product Development with Sigma

F500 Manufacturer Accelerates Product Development with Sigma

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Visualization Functional Applications - Product Lifecycle Management Systems (PLM)
Applicable Industries	Semiconductors
Applicable Functions	Business Operation Product Research & Development
Services	Software Design & Engineering Services System Integration
Challenge	The Power & Performance Leads (PPL) team at a major U.S. semiconductor manufacturer faced significant challenges in managing and analyzing vast amounts of data. The team relied on millions of data points housed within Snowflake to build custom data center solutions. However, their existing workflow, which involved using Power BI and Excel, was inefficient and led to bottlenecks, wasted time, and slow product cycles. The disjointed workflow also caused unplanned ad hoc requests, constant reprioritization of tasks, and analyst frustration. The PPL team often had to work evenings and weekends to keep up with the demands, leading to an overworked and stressed team. Read More
About Customer	The customer is one of the largest semiconductor manufacturers in the United States, known for its advanced technology and innovation in the semiconductor industry. The company has a dedicated Power & Performance Leads (PPL) team responsible for predictions, modeling, product definitions, customer request matches, tuning, optimization, and verification of custom data center solutions. This team plays a critical role in ensuring the reliability and performance of the company's products, as any faulty solution can result in multi-million dollar problems. The PPL team relies heavily on data analysis to meet performance targets and deliver high-quality solutions to their customers. Read More
Solution	The PPL team adopted Sigma to address their data analysis challenges. Sigma, purpose-built for Snowflake and cloud data warehouses, provided the team with direct access to live data in Snowflake, eliminating the need for data extracts from the BI team. This ensured that the data remained safe and up-to-date. Sigma's cloud-native solution offered unlimited scale and speed, allowing the PPL team to analyze and filter all testing data in a single pane, reducing the potential for errors. The spreadsheet-like interface of Sigma enabled self-service data exploration, making it easy for the PPL team to perform iterative ad hoc analytics. This familiar interface allowed the team to quickly analyze data and address potential issues before they became serious problems. As a result, the company is now deploying Sigma across all product teams and leveraging it for cost modeling. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Visualization

Functional Applications - Product Lifecycle Management Systems (PLM)

Applicable Industries

Semiconductors

Applicable Functions

Business Operation

Product Research & Development

Services

Software Design & Engineering Services

System Integration

Challenge

The Power & Performance Leads (PPL) team at a major U.S. semiconductor manufacturer faced significant challenges in managing and analyzing vast amounts of data. The team relied on millions of data points housed within Snowflake to build custom data center solutions. However, their existing workflow, which involved using Power BI and Excel, was inefficient and led to bottlenecks, wasted time, and slow product cycles. The disjointed workflow also caused unplanned ad hoc requests, constant reprioritization of tasks, and analyst frustration. The PPL team often had to work evenings and weekends to keep up with the demands, leading to an overworked and stressed team.

About Customer

The customer is one of the largest semiconductor manufacturers in the United States, known for its advanced technology and innovation in the semiconductor industry. The company has a dedicated Power & Performance Leads (PPL) team responsible for predictions, modeling, product definitions, customer request matches, tuning, optimization, and verification of custom data center solutions. This team plays a critical role in ensuring the reliability and performance of the company's products, as any faulty solution can result in multi-million dollar problems. The PPL team relies heavily on data analysis to meet performance targets and deliver high-quality solutions to their customers.

Solution

The PPL team adopted Sigma to address their data analysis challenges. Sigma, purpose-built for Snowflake and cloud data warehouses, provided the team with direct access to live data in Snowflake, eliminating the need for data extracts from the BI team. This ensured that the data remained safe and up-to-date. Sigma's cloud-native solution offered unlimited scale and speed, allowing the PPL team to analyze and filter all testing data in a single pane, reducing the potential for errors. The spreadsheet-like interface of Sigma enabled self-service data exploration, making it easy for the PPL team to perform iterative ad hoc analytics. This familiar interface allowed the team to quickly analyze data and address potential issues before they became serious problems. As a result, the company is now deploying Sigma across all product teams and leveraging it for cost modeling.

Impact #1	The PPL team can now immediately access row-level data as soon as an issue is identified, leading to faster problem resolution.
Impact #2	Sigma's familiar spreadsheet interface has made it easier for the PPL team to perform ad hoc analytics, reducing the need for technical skills.
Impact #3	The adoption of Sigma has resulted in accelerated product cycles, allowing the company to bring products to market more quickly.

Impact #1

The PPL team can now immediately access row-level data as soon as an issue is identified, leading to faster problem resolution.

Impact #2

Sigma's familiar spreadsheet interface has made it easier for the PPL team to perform ad hoc analytics, reducing the need for technical skills.

Impact #3

The adoption of Sigma has resulted in accelerated product cycles, allowing the company to bring products to market more quickly.

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Overview

F500 Manufacturer Accelerates Product Development with Sigma

Operational Impact