Sisense Case Studies foodpanda: Democratizing Data with Sisense for Strategic Business Analysis

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	foodpanda: Democratizing Data with Sisense for Strategic Business Analysis Sisense

foodpanda: Democratizing Data with Sisense for Strategic Business Analysis

Sisense

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization
Applicable Industries	E-Commerce Food & Beverage
Applicable Functions	Business Operation Sales & Marketing
Services	System Integration Training
Challenge	foodpanda faced significant challenges with their existing data warehouse, which was unable to efficiently handle terabytes of complex data from multiple sources. The limitations included a lack of data mining functions and the inability to affordably process large volumes of data. Additionally, foodpanda aimed to centralize data to promote transparency and democratization, reducing employee reliance on the BI department. They needed an intuitive, self-service BI solution to shift the focus from data collection to insights and strategy. Read More
About Customer	foodpanda, founded in 2012, is a market leader in global online food delivery, particularly in emerging markets. The company has experienced rapid growth, raising $300M in recent funding rounds. Operating in over 500 cities across five continents, foodpanda has partnered with more than 38,000 restaurants globally. The company employs over 3,700 people worldwide and is headquartered in Berlin, Germany. foodpanda's primary data sources include a data warehouse running on PostgreSQL servers, with data from Salesforce, SQL, Google Docs, Google BigQuery, Zendesk, and Jenkins drop scheduling. Read More
Solution	foodpanda implemented Sisense to address their data challenges. Sisense's Single-Stack™ solution allowed foodpanda to rely on one system for data preparation, querying, and visualization. The In-Chip technology enabled agile and affordable analysis of big data. Sisense's self-service platform democratized data access, transforming employees into active business analysts. The platform's versatile security features allowed for customizable user permissions and easy segmentation of dashboards. Sisense's unparalleled customer care and support further facilitated the implementation process. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

E-Commerce

Food & Beverage

Applicable Functions

Business Operation

Sales & Marketing

Services

System Integration

Training

Challenge

foodpanda faced significant challenges with their existing data warehouse, which was unable to efficiently handle terabytes of complex data from multiple sources. The limitations included a lack of data mining functions and the inability to affordably process large volumes of data. Additionally, foodpanda aimed to centralize data to promote transparency and democratization, reducing employee reliance on the BI department. They needed an intuitive, self-service BI solution to shift the focus from data collection to insights and strategy.

About Customer

foodpanda, founded in 2012, is a market leader in global online food delivery, particularly in emerging markets. The company has experienced rapid growth, raising $300M in recent funding rounds. Operating in over 500 cities across five continents, foodpanda has partnered with more than 38,000 restaurants globally. The company employs over 3,700 people worldwide and is headquartered in Berlin, Germany. foodpanda's primary data sources include a data warehouse running on PostgreSQL servers, with data from Salesforce, SQL, Google Docs, Google BigQuery, Zendesk, and Jenkins drop scheduling.

Solution

foodpanda implemented Sisense to address their data challenges. Sisense's Single-Stack™ solution allowed foodpanda to rely on one system for data preparation, querying, and visualization. The In-Chip technology enabled agile and affordable analysis of big data. Sisense's self-service platform democratized data access, transforming employees into active business analysts. The platform's versatile security features allowed for customizable user permissions and easy segmentation of dashboards. Sisense's unparalleled customer care and support further facilitated the implementation process.

Impact #1	Sisense enabled foodpanda to efficiently process terabytes of data from multiple sources, using 35 Elasticubes to meet their big data requirements.
Impact #2	The platform streamlined data analysis, empowering agile organizational decision-making. Reports that previously took hours to run are now instantly available and downloadable with a click.
Impact #3	Employees received training to use Sisense dashboards, providing real-time clarity into key departmental KPIs such as PNL, sales by location, and restaurant performance.

Impact #1

Sisense enabled foodpanda to efficiently process terabytes of data from multiple sources, using 35 Elasticubes to meet their big data requirements.

Impact #2

The platform streamlined data analysis, empowering agile organizational decision-making. Reports that previously took hours to run are now instantly available and downloadable with a click.

Impact #3

Employees received training to use Sisense dashboards, providing real-time clarity into key departmental KPIs such as PNL, sales by location, and restaurant performance.

Benefit #1	foodpanda raised $300M in recent funding rounds.
Benefit #2	The company operates in over 500 cities worldwide.
Benefit #3	foodpanda has partnered with over 38,000 restaurants globally.

Benefit #1

foodpanda raised $300M in recent funding rounds.

Benefit #2

The company operates in over 500 cities worldwide.

Benefit #3

foodpanda has partnered with over 38,000 restaurants globally.

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Overview

foodpanda: Democratizing Data with Sisense for Strategic Business Analysis

Operational Impact

Quantitative Benefit