Business Challenge
This multinational beverage company wanted a continuous and ‘always-on’ MMM framework to aid frequent business planning decisions. This required a continuous flow of data from diverse data sources with varying data models and architecture followed by processing of the data to be consumed by the business planning module
Solution
We deployed a sophisticated and automated ETL process that included the following.
- Implemented a system to detect availability of new data from different sources.
- Automated data extraction from linked databases.
- Developed a system to ingest raw data and convert it to a consumable format.
- Ran data quality checks once data was transformed.
- Provided BI-powered reports for deeper data analysis and further consummation for the business planning module.
Impact
- Reduced Data availability Time: Data availability time was reduced to less than 1 week through automated ETL process and reduced human intervention.
- Stronger Data Quality Checks:In-built data quality checks mitigated bad data and helped identify outliers.
- Smarter Decision-Making:Better decision-making with BI powered reports and cause-effect analysis in-sync with the business planning module outputs.
