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An airline soars with Google Data Studio

Technology Category
  • Analytics & Modeling - Data-as-a-Service
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
  • Aerospace
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Real-Time Location System (RTLS)
Services
  • Data Science Services
The Challenge
airBaltic, a regional airline based in Latvia, was facing a challenge with its data and analytics strategy. The company's data was siloed in separate proprietary systems like booking platforms and revenue management tools. This made it difficult for the company to make data-driven decisions. Additionally, the company was spending a substantial amount of time and investment generating reports from different data systems. Sharing information across teams and third-party agencies was also a challenge. The executives at airBaltic recognized the need for change and sought to streamline all of its different data sources across Google (AdWords Performance, Bigquery pulls) and internal systems.
About The Customer
airBaltic is a hybrid airline based in Latvia that serves over 60 destinations. The company combines the best practices of traditional network airlines with the savings of ultra-low-cost carriers. airBaltic was facing challenges with its data and analytics strategy due to the siloed nature of its data in separate proprietary systems. This made it difficult for the company to make data-driven decisions. The company was also spending a substantial amount of time and investment generating reports from different data systems. Sharing information across teams and third-party agencies was also a challenge.
The Solution
airBaltic decided to leverage Google Data Studio to streamline its data and analytics strategy. The company was already using Google Analytics 360 to measure the effectiveness of its marketing campaigns, but Data Studio allowed them to consolidate all their different data sources and visualize their insights. This enabled them to make smarter data-driven decisions consistently. Data Studio allowed airBaltic to set up a single “source of truth” dashboard that could be used securely by both internal teams and external partners. This helped everyone align on the same KPIs, goals, and definitions. Additionally, Data Studio’s automated reporting saved employees time and eliminated the need for manual data pulls, aggregation, and visualization.
Operational Impact
  • airBaltic was able to set up a single “source of truth” dashboard that could be used securely by both internal teams and external partners.
  • Data Studio let everyone align on the same KPIs, goals, and definitions.
  • Employees saved time and eliminated the need for manual data pulls, aggregation, and visualization thanks to Data Studio’s automated reporting.
Quantitative Benefit
  • Increased sales by 125%
  • Established over 35 custom reports

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