Procter & Gamble’s Global Business Services, for example, has significantly reduced operational costs while improving project data and activities productivity using a central repository. access to consistent data and combined with automated data processing and reporting tools, they facilitate timely and informed decision-making. Streamlined data processes reduce the time and effort required for data collection and reporting, freeing up resources for other strategic initiatives.
Challenges
When merging data architecture with operations, a few primary challenges can be mitigated with proper planning.
Data silos. Isolated data sources can hinder integration. Implementing a canada whatsapp number data unified strategy and leveraging data integration tools can help break down these silos.
Quality and consistency. Adopting robust data governance frameworks and automated quality checks are critical to ensure high data quality and consistency.
Security and compliance. With ever-evolving laws and regulations, maintaining data security and compliance is difficult. Employing comprehensive security measures and staying updated with regulatory changes are essential. Some organizations employ outside sources, while others dedicate internal individuals or teams.