A leading global personal care products company with a diverse portfolio of brands and products sold in markets around the world. The company operates in numerous regions, maintaining extensive databases that capture vast amounts of data from various sources and formats.
The main challenge was the distributed nature of data. Terabytes of information were spread across different instances and geographies, residing in a multitude of databases with varying structures. The data comprised both structured and unstructured formats, including audio files, JPEGs, PDFs, MPEGs, social media posts, memes, and receipts. This lack of standardization made it impossible for the company to leverage its data effectively for strategic decision-making.
Implemented a centralized data lake to consolidate all global data into a single, unified instance. This data lake served as the foundation for further data management and analysis activities.
A high-level architecture for the "to-be" state was developed, outlining the optimal structure and flow for data unification and standardization.
Identified and recommended the appropriate tools, Database Transformation Tools (DBTs), and technologies necessary for the data unification, standardization, analytics, transformation, and migration processes.
A structured data was organized and implemented processes to extract relevant information from unstructured data sources. This involved converting unstructured data into structured formats suitable for analysis.
Integrated advanced analytics capabilities to derive actionable insights from their unified and standardized data.
The project was a resounding success, delivering several key for the organization:
Transformed fragmented data landscape into a cohesive and strategic asset, empowering the business to harness the full potential of their data for competitive advantage.