Case Study
foodpanda
Case Study
WHY A $300M STARTUP DEMOCRATIZES ITS DATA
With Sisense, foodpanda employees are transformed
into strategic business analysts.
Executive Summary:
foodpanda, a market leader in online food delivery for emerging markets, had reached the limits of their data
warehouse. Unable to efficiently crunch terabytes of big, complex data, they turned to Sisense to achieve their
BI goals. After implementing Sisense, foodpanda is able to meet the organization’s big data requirements.
Sisense’s self-service platform has also helped foodpanda to achieve its mission of democratizing business
analytics, transforming employees into active business analysts who are able to determine organizational
health with just a glance of their Sisense dashboards.
Quotes:
Sisense is a completely self-service BI tool. Everyone in the company is able to
analyze their own data.
Fethullah Ertugrul, Global Head of Business Intelligence
Case Study
We wanted a BI solution that allows us to democratize our data in a very scalable way.
Sisense allows our employees to get data for themselves, so they can focus more on
crucial business strategy.
Fethullah Ertugrul, Global Head of Business Intelligence
Sisense has provided us with unparalleled support - not only during onboarding but
throughout the customer lifecycle. When it comes to customer service and support,
they really are the best.
Fethullah Ertugrul, Global Head of Business Intelligence
Company Overview:
Organization: foodpanda group
Website: https://www.foodpanda.com/
Location: Berlin, Germany
Industry: Global Online Food Delivery
Overview:
Founded in 2012, foodpanda has become a market leader in global online food delivery, with a focus on
emerging markets. A true startup success story, foodpanda has just raised $300M in recent rounds of funding.
They have expanded their operations to five continents, and have activities in more than 500 cities worldwide.
foodpanda has partnered with over 38,000 restaurants globally and is comprised of a team of more than 3,700
people worldwide.
Data Sources and Scope:
Primary data sources are a data warehouse running on PostgreSQL servers, housing terabytes of big data from multiple
data sources, including: Salesforce, SQL, Google Docs, Google BigQuery, Zendesk and Jenkins drop scheduling.
Challenges:
Needed a single warehouse to aggregate terabytes of big, complex data
Exceeded amount of data that previous data solution could affordably handle
Data warehouse lacked a variety of data mining functions
Case Study
foodpanda wanted centrally available data, to encourage data transparency and democratization,
while decreasing employee reliance on its BI department
Needed intuitive, self-service BI, to shift employee focus from data collection to insights and strategy
Business Needs:
Cost-effective solution for processing big data
Quick and efficient analysis of massive, scattered data sources
End-to-end solution for data processing, retrieval, and visualization
Intuitive dashboards to propel immediate company-wide adoption and democratic access to data
Self-service, to eliminate backlog on BI department and encourage self reliance
Why Sisense:
Single-Stack™ solution - users only need to rely on one system for data preparation, querying and visualization
In-Chip technology - allows for agile and affordable analysis of big data
Highly consumable data, enabling democratic access to data, while driving real-time discovery and influence
on strategy
Versatile security - customizable user permissions allow for the easy segmentation of dashboards
Unparalleled customer care and support
Results:
Sisense allows foodpanda to efficiently crunch terabytes of data from dozens of sources - with 35 Elasticubes
to meet the organization’s big data requirements. Now, foodpanda is successfully streamlining its data analysis
while empowering agile, organizational decision-making. Reports that once took hours to run on the data
warehouse are instantly available, and downloadable in just a click. Not only does this save time, but also
increases employee efficiency and self-reliance, while eliminating a backlog of requests to the BI department.
After a short training session for the entire company, employees are now able to drill into their own dashboards
for real-time clarity into key departmental KPIs: PNL (profits and losses), sales by location, restaurant
performance, popularity of cuisine types by location, etc. foodpanda’s data democratization allows for quick
and accessible insights into an employee’s own data, crucial to encouraging faster organizational decisionmaking and time to market. Questions like where to focus a sales force’s efforts or which potential restaurants
to approach for partnership opportunities, are all answered with Sisense.
Case Study
Additionally, departments benefit from segmented dashboards, aggregating only the information most relevant
to their department. Where once, employees literally spent days digging through dozens of data sources to
find the data that they were looking for, Sisense now shows them the dashboards with their own configurable,
customized KPIs - ensuring everyone is using the same single source of truth. Department managers love the
automatic alerts they receive from Sisense, notifying them when KPIs are negatively affected, so issues can be
quickly addressed. foodpanda is showing how a small startup effectively democratizes its data, leading to agile,
profitable and real-time decision-making by all members of the organization.
Image: Average foodpanda fact table size
in millions of rows
Image: At foodpanda , the number of engaged Sisense
end-users is constantly growing.
- 1164 unique dashboards
- Data self-discovery
Case Study
ice
foodpanda
illustrative
onlyis thrilled with their Sisense dashboard creation, and loves to create location-based reports (illustrative
data only).
Any of our reports can be drilled down
into the most granular level of data.
foodpanda is thrilled with their ability to perform drill down on the most granular level.
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