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Case Study 4: Marketing & Advertising
Create a data product using high quality metadata and curated information that allows the growth and product teams to easily calculate Activation & Acquisition metrics.
The data engineering team created a dataset from raw No-SQL tables along with documentation that was created inside the company’s data catalog and information platform and made available to the business stakeholders from there.
Applying analytics engineering techniques, we built ELT pipelines that enable marketing attribution analytics and data driven decisions for marketing.
A single source of truth: This curated data product allows whole Business Line to easily calculate and analyze core KPIs that will have consistent results across the Debit Line teams. A secondary benefit emerged where this dataset also allowed the business to track actual acquisition costs to estimates.
Tech Tools & Skills Applied:
No-SQL, ELT, Tableau, Snowflake, dbt, Jupyter Notebooks, Github, DBeaver