GoodData Case Studies Data-driven Decision-making for a Creative Industry

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	Data-driven Decision-making for a Creative Industry GoodData

Data-driven Decision-making for a Creative Industry

GoodData

Technology Category	Analytics & Modeling - Big Data Analytics Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Retail E-Commerce
Applicable Functions	Sales & Marketing Business Operation
Services	Data Science Services System Integration
Challenge	As a rapidly growing company, Redbubble was dealing with an abundance of data across all areas of their organization. They recognized the importance of these insights for maintaining the positive trajectory of their online platform, but extracting them was a challenge. The team was spending valuable hours extracting data from RJ Metrics into Excel to build manual pivot tables. They were also challenged by the limitations of their software to layer information together and look for trends and causality among the myriad data points. They reached a point where they were spending more time manipulating the data than using it to make decisions, indicating the need for a new solution. Read More
About Customer	Redbubble is an online global marketplace that features high-quality apparel, artwork, and home decor products with a variety of unique designs. The company is redefining the way independent artists around the world market and distribute their work to consumers. Redbubble stands for artists, allowing them to choose how their work is used and at what price while minimizing the associated logistical overhead by taking care of online marketing, payment processing, and fulfillment. As a young company growing rapidly, Redbubble was coping with an abundance of data, spanning all areas of their organization. Read More
Solution	Redbubble wanted an analytics tool that could bring all their data together, allowing them to transform it and load it into a single, manipulable source they could mine for critical information. As a 100% cloud-based operation, they were looking for a cloud-based analytics partner who wouldn’t add complexity to their technology stack. They didn’t want to have to hire a team or start managing their own data center. After evaluating other vendors, Redbubble chose GoodData for its superior ETL capabilities and ease of use. After working with the GoodData team to define requirements, Manoj was able to manage the implementation on his own, rolling it out in sprints across the organization starting at just two weeks. The solution was first introduced to operations, then sales and marketing. Ultimately, Redbubble was able to combine six disparate sources of data, which used to live in silos, into a single source of truth to fuel informed decision-making. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Retail

E-Commerce

Applicable Functions

Sales & Marketing

Business Operation

Services

Data Science Services

System Integration

Challenge

As a rapidly growing company, Redbubble was dealing with an abundance of data across all areas of their organization. They recognized the importance of these insights for maintaining the positive trajectory of their online platform, but extracting them was a challenge. The team was spending valuable hours extracting data from RJ Metrics into Excel to build manual pivot tables. They were also challenged by the limitations of their software to layer information together and look for trends and causality among the myriad data points. They reached a point where they were spending more time manipulating the data than using it to make decisions, indicating the need for a new solution.

About Customer

Redbubble is an online global marketplace that features high-quality apparel, artwork, and home decor products with a variety of unique designs. The company is redefining the way independent artists around the world market and distribute their work to consumers. Redbubble stands for artists, allowing them to choose how their work is used and at what price while minimizing the associated logistical overhead by taking care of online marketing, payment processing, and fulfillment. As a young company growing rapidly, Redbubble was coping with an abundance of data, spanning all areas of their organization.

Solution

Redbubble wanted an analytics tool that could bring all their data together, allowing them to transform it and load it into a single, manipulable source they could mine for critical information. As a 100% cloud-based operation, they were looking for a cloud-based analytics partner who wouldn’t add complexity to their technology stack. They didn’t want to have to hire a team or start managing their own data center. After evaluating other vendors, Redbubble chose GoodData for its superior ETL capabilities and ease of use. After working with the GoodData team to define requirements, Manoj was able to manage the implementation on his own, rolling it out in sprints across the organization starting at just two weeks. The solution was first introduced to operations, then sales and marketing. Ultimately, Redbubble was able to combine six disparate sources of data, which used to live in silos, into a single source of truth to fuel informed decision-making.

Impact #1	Enhanced performance of marketing programs
Impact #2	Unification of six disparate sources of data
Impact #3	Improved customer satisfaction and retention

Impact #1

Enhanced performance of marketing programs

Impact #2

Unification of six disparate sources of data

Impact #3

Improved customer satisfaction and retention

Benefit #1	Two-week self-service implementation after requirements defined

Benefit #1

Two-week self-service implementation after requirements defined

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Overview

Data-driven Decision-making for a Creative Industry

Operational Impact

Quantitative Benefit