Delphi | Leading Global Cosmetics & Beauty Brand – Data Warehousing & Social Media Analytics

Leading Global Cosmetics & Beauty Brand – Data Warehousing & Social Media Analytics

Retail & E-Commerce

Middle East

Microsoft Fabric, Fivetran, Power BI, Azure Synapse

Data Warehousing & Social Media Analytics

The client aimed to enhance their data infrastructure and consolidation strategy by harnessing the power of Microsoft Fabric. The objective was to establish a foundational structure for current and future data-driven decision-making, leveraging Fabric's capabilities to create a comprehensive Data Analytics suite addressing BI and data science requirements — including social media ad platforms, web analytics, and Sales Reports dashboards.

Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.

Scattered data sources across social media ad platforms, analytics tools, and sales systems caused inconsistent insights, with no unified repository to ensure data consistency across teams.

Frequent and time-consuming data updates were hindering the efficiency of key dashboards, requiring a more automated and performant data refresh mechanism.

Existing processes required extensive manual effort, leading to delays and potential errors that needed to be fully streamlined through automation.

Migrating from a fragmented system to a Data Warehouse in Microsoft Fabric required careful planning to enable faster, more reliable data processing and reporting.

The solution needed to ensure minimal downtime and continuous availability of up-to-date dashboards while improving overall business operations and system performance.

Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.

Conducted a comprehensive analysis of existing data sources — including social media ad platforms, web analytics, and sales reports — to understand their structure and interdependencies for effective consolidation.

Utilised Bronze, Silver, and Gold Medallion Architecture to efficiently cleanse, standardise, and aggregate data, ensuring timely dashboard updates and reduced refresh times.

Developed a centralised data model within Microsoft Fabric's Lake House, enabling seamless integration across data sources and improving the accuracy and reliability of business analytics.

Configured automated pipelines for data ingestion and transformation within Azure, ensuring efficient data flow from on-premises sources to the cloud with minimal latency.

Facilitated migration of existing dashboards to the new environment, ensuring all key reporting dashboards remained consistently up-to-date with improved performance.

Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.

Automated data connectivity enhanced efficient and error-free data transfers, significantly increasing the reliability of reporting and analytics across all business functions.

Incremental data updates ensured consistently fresh and accurate data, enabling timely insights and more informed business actions across marketing and sales teams.

A unified reference data model streamlined data transformation processes, empowering the client to make data-driven decisions with greater confidence and analytical depth.

Automated data pipelines improved scalability and system performance, enabling efficient management of growing data volumes and swift adaptation to evolving business demands.

Migration to Microsoft Fabric's Delta Data Warehouse and optimised data refresh processes significantly reduced downtime, resulting in more responsive dashboards and faster decision-making.

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