Alteryx Case Studies Doing More by Doing Less Lessons Learned in Customer Insight

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	Doing More by Doing Less Lessons Learned in Customer Insight Alteryx

Doing More by Doing Less Lessons Learned in Customer Insight

Alteryx

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Retail
Applicable Functions	Sales & Marketing Business Operation
Use Cases	Inventory Management Supply Chain Visibility
Services	Data Science Services System Integration
Challenge	GameStop, a $9B Specialty Retailer with operations in 14 countries, was facing several challenges. The demand for analysis was greater than the throughput, and the complexity of analysis requests or business questions was increasing. IT resources were constrained for reporting and data manipulation. The company needed to increase throughput, capability, and decrease dependency. They needed to reduce the need for complex coding (SQL), reduce time spent on repetitive tasks, and share analysis products and procedures across the team. They also wanted to focus on the problem, not manipulating data, provide insight versus analysis results, and increase analysis capability and skillset. Lastly, they wanted to remove IT from basic tasks such as reporting and data loading. Read More
About Customer	GameStop is a family of retail brands that makes the most popular technologies affordable and simple. They are a dominant leader in the global video game category with over 6,600 video game and technology brand stores. They operate in 14 countries and are a Fortune 500 & S&P 500 company. Their operations span across video games, publishing, digital/mobile gaming, and wireless technology. They have a PowerUp Rewards program that engages customers, with over 30 million US members, making up 70%+ of their sales. The company's team consists of customer analytics and direct channel management, with partners and clients across marketing, finance, the executive team, real estate, and vendors. Read More
Solution	GameStop implemented several solutions to address their challenges. They automated reporting using Tableau, reducing the time spent on reporting from half a day to less than 1.5 hours. They also automated routine tasks and contingency/succession planning using Alteryx apps. This included franchise and affinity SKU finder, console ownership definition & export, model export, audience file export, and zip code finder. They reduced dependency on IT to load and join external data. They loaded external data without IT assistance and matched device and member data in Alteryx. They also utilized the Market Basket function to analyze multiple combinations versus only frequency. They focused on providing business insight, new analysis capabilities, and interpreting and delivering implications. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Retail

Applicable Functions

Sales & Marketing

Business Operation

Use Cases

Inventory Management

Supply Chain Visibility

Services

Data Science Services

System Integration

Challenge

GameStop, a $9B Specialty Retailer with operations in 14 countries, was facing several challenges. The demand for analysis was greater than the throughput, and the complexity of analysis requests or business questions was increasing. IT resources were constrained for reporting and data manipulation. The company needed to increase throughput, capability, and decrease dependency. They needed to reduce the need for complex coding (SQL), reduce time spent on repetitive tasks, and share analysis products and procedures across the team. They also wanted to focus on the problem, not manipulating data, provide insight versus analysis results, and increase analysis capability and skillset. Lastly, they wanted to remove IT from basic tasks such as reporting and data loading.

About Customer

GameStop is a family of retail brands that makes the most popular technologies affordable and simple. They are a dominant leader in the global video game category with over 6,600 video game and technology brand stores. They operate in 14 countries and are a Fortune 500 & S&P 500 company. Their operations span across video games, publishing, digital/mobile gaming, and wireless technology. They have a PowerUp Rewards program that engages customers, with over 30 million US members, making up 70%+ of their sales. The company's team consists of customer analytics and direct channel management, with partners and clients across marketing, finance, the executive team, real estate, and vendors.

Solution

GameStop implemented several solutions to address their challenges. They automated reporting using Tableau, reducing the time spent on reporting from half a day to less than 1.5 hours. They also automated routine tasks and contingency/succession planning using Alteryx apps. This included franchise and affinity SKU finder, console ownership definition & export, model export, audience file export, and zip code finder. They reduced dependency on IT to load and join external data. They loaded external data without IT assistance and matched device and member data in Alteryx. They also utilized the Market Basket function to analyze multiple combinations versus only frequency. They focused on providing business insight, new analysis capabilities, and interpreting and delivering implications.

Impact #1	Automated reporting using Tableau reduced the time spent on reporting from half a day to less than 1.5 hours.
Impact #2	Automated routine tasks and contingency/succession planning using Alteryx apps.
Impact #3	Reduced dependency on IT to load and join external data.

Impact #1

Automated reporting using Tableau reduced the time spent on reporting from half a day to less than 1.5 hours.

Impact #2

Automated routine tasks and contingency/succession planning using Alteryx apps.

Impact #3

Reduced dependency on IT to load and join external data.

Benefit #1	Reduced time spent on reporting from half a day to less than 1.5 hours.
Benefit #2	30 minute process reduced to less than 5 with the zip code finder.

Benefit #1

Reduced time spent on reporting from half a day to less than 1.5 hours.

Benefit #2

30 minute process reduced to less than 5 with the zip code finder.

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Overview

Doing More by Doing Less Lessons Learned in Customer Insight

Operational Impact

Quantitative Benefit