Before:
Manual Data Exporting & Lengthy, Time-Consuming Visualizations
Be A Bear is a fully cross-vertical digital strategy agency that caters to companies of all sizes, from exciting new startups to some of the biggest brands in the world. The main pillar of their digital strategy is actionable insights; effective data pipelining and automated reporting are an integral part of the process that culminates in making well-informed, profitable decisions.
Being a start-up in a fast-growing sector, Be A Bear wished to set themselves apart by investing in world-class tools to automate the flow from data ingestion to dashboarding. Previously, they relied on manually exporting data into spreadsheets, where even the most basic visualizations can take hours to create.
Solution:
A Modern Data Stack Using Looker, Fivetran, Snowflake, and dbt
The Looker platform has allowed Be A Bear to fulfill their primary objectives. With Looker, Be A Bear can accommodate growth goals, and empower their clients to assess performance in real-time and gain deep-level insights to make better decisions that drive revenue in the long term.
They can now easily collect data from platforms such as Google Analytics, Instagram, Facebook Ads, Shopify, email marketing – all in one place, which in turn, enables clients to gain a holistic view of their marketing performance with real-time interactive reports. This is a significant advancement on their previous automated reporting processes.
It also puts Be A Bear even further ahead of many of their competitors who are stuck in spreadsheets and performing manual processes. Other benefits of Looker include speed and ease of use – instead of having several Excel tabs for each individual platform, a single Explore is needed to combine data from multiple sources. Their analysts and digital strategists can now quickly provide insights and suggestions to clients by building their own dashboards. A requirement for SQL knowledge is no longer a barrier given that all types of users can access the data from Looker due to its unique data modeling.