How Uber Eats Unifies Data from 50+ Social Media and Marketing Accounts
Uber Eats, which operates in hundreds of cities across dozens of countries, was managing a massive influx of data from a wide range of sources. But the data management platform they were using wasn’t handling it very well. Consequently, two data analysts spent all their time collecting and manually cleaning this data, leaving little time for extracting valuable insights.
• 50+ man-hours saved weekly. The two data analysts now only spend ⅓ of their time on data management and ⅔ on more strategic tasks.
• 0 unwanted barriers to data accessibility. Any team member with access to Dataddo can use its no-code interface to move data as needed, without the intervention of engineers.
• Complete view of all marketing decisions. Out-of-the-box connectors enable Uber Eats to access data points previously inaccessible via manual data collection.
• Dataddo automatically collects and cleans data from 50+ accounts on global marketing platforms like Facebook, Instagram, Brandwatch, and Socialbakers.
• The data is funneled to Looker Studio, Google Sheets, and BigQuery for analysis and storage.
• All data connections are centrally manageable via Dataddo's transparent interface.
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You already know Uber. The app which launched ride-sharing to the forefront garnered so much success that, in 2014, it moved easily to the food delivery industry. Uber Eats is currently available in hundreds of cities in dozens of countries. With such a large operation, large sets of data are constantly being collected. So, how does Uber Eats handle their big data and inform their data-driven decisions?
The Challenge: 50+ Accounts, Inadequate Tools
As a large company that's spread all over the world, Uber Eats requires cutting-edge data solutions to be able to collect and analyze their data. Their previous data management platform was simply not able to handle the data from all of Uber Eats' sources.
Uber Eats requires many features and abilities from their data architecture, such as interoperability with online data sources, scalability, resiliency, flexibility, process automation, and the ability to share raw data.
Before Dataddo, two data analysts spent 100% of their time managing data from various global marketing platforms. This included logging into 50+ accounts every day and manually cleaning data in order to create the required reports.
The Solution: One Central Data Management Platform
By using Dataddo, Uber Eats was able to centralize their data management and analytics operations, channeling all of their analytics data into a single dashboarding and reporting platform.
Dataddo synchronized data from multiple data sources, including social media accounts like Facebook and Instagram, and social listening platforms such as Brandwatch and Socialbakers. This resulted in hours of saved time by eliminating manual data collection and cleaning processes.
Outcomes: Two-Thirds Less Time Spent on Data Management
With the implementation of Dataddo, Uber Eats is uncovering valuable new insights. They are able to sync all their data sources with all their data destinations, as well as access new data points previously lost in manual processes.
This saves their analysts two-thirds of the time they used to spend on data management, which is over 50 man-hours per week! Of course, this time is now spent on what's really important: gaining valuable insights from data in order to push company goals.
Dataddo's no-code interface is also a major advantage.
"The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in order to minimize the need for excessive training to support efficient project delivery." - Amalia Bornstein, Global Social & Content Marketing Data Analyst, Uber Eats
Now, anyone in their team with access to the no-code Dataddo platform can easily manipulate and send data to their desired destination. No more headaches or custom ETL engineering when implementing new, web-based marketing services.
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