The Problem:
LIFT Airline has been experiencing rapid growth in its customer base, with numbers exceeding the one million mark. The airline needed a modern and efficient approach to handling its real-time analytics and business intelligence needs. The existing analytical processes could not take the increasing data volumes or consolidate such a diverse range of datasets. The company wanted a scalable solution to keep pace with its dynamic operations. LIFT required a cloud-based data warehouse that could adapt to its growth and changing requirements.
The Solution:
LIFT has implemented a new technology stack to handle real-time analytics and business intelligence. The stack includes Fivetran for extracting and loading data, dbt for transforming data, Snowflake for their cloud data warehouse, and Metaplane for observing data. They also utilize QlikView for their reporting layer. By combining these technologies, LIFT can quickly adjust to evolving needs and obtain reliable insights into its customer base.
The Results:
With their new, consolidated data warehouse, they could consolidate their 30+ internal data sources in near real-time to create a single source of truth. This approach has been instrumental in streamlining their reporting process and gaining actionable insights into customer behaviour, allowing them to make timely decisions that have positively impacted their bottom line.
Conclusion:
LIFT Airline's decision to move its analytics and business intelligence operations to a cloud-based data warehouse has genuinely been a game changer. By consolidating its data sources into a single platform, they have removed the need for manual processing, saving time and money while producing timely and actionable insights. The scalability of their cloud-based data warehouse has allowed them to keep up with their rapidly expanding customer base, ensuring they remain ahead of the competition. LIFT Airline's journey is an excellent example of how companies can benefit from modernizing their analytics and business intelligence operations.
Key Takeaways:
- Moving to a cloud-based data warehouse enabled LIFT Airline to consolidate its real-time analytics and business intelligence processes.
- The scalability of the cloud data warehouse has allowed them to keep pace with their rapidly expanding customer base.
- Consolidating their data sources into a single platform has saved time and money while producing actionable insights that have positively impacted their bottom line.
- LIFT Airline's journey is an excellent example of how companies can benefit from modernizing their analytics and business intelligence operations.
Don't let manual processing and inefficient analytical processes hold you back. Take a page out of LIFT Airline's playbook and modernize your operations with a cloud-based data warehouse. Get in touch with us today to discover how we can assist your business in expanding and remaining competitive.