A large enterprise, with over 1,000 users, struggles with data quality issue and inconsistent data across more than 30 source systems, including operational systems, user-generated data files such as Excel and open data from public sources. C-level executives and managers face inefficiencies as they must review multiple sources to gather information, leading to time-consuming data consolidation efforts for frontline users. Additionally, the inconsistency in naming conventions and outdated data sources hampers the ability to meet evolving organizational needs and new data governance policies. Critical events exacerbate the issue, preventing timely access to crucial information for decision-makers.
Define Objectives and Gather Requirements
Conducted stakeholder interviews with frontline users, managers, C-level executives, and the IT department to gather comprehensive requirements and define clear objectives for the centralized data warehouse.
Assess and Analyze Current Infrastructure
Evaluated the existing data systems to identify data quality issues and performance bottlenecks. Assessed the current infrastructure to pinpoint inefficiencies and areas for improvement.
Technology Selection
Chose appropriate technology solutions, including a robust database platform, an efficient ETL (Extract, Transform, Load) tool, and advanced visualization tools to support the new centralized data warehouse.
ETL Processes
Designed and implemented ETL processes to extract data from the 30+ source systems, transform it into a consistent format, and load it into the centralized data warehouse and creating data mart for easy manipulation by the visualisation tools.
Integrating Open Resources
Incorporated open data resources such as observatory data, census information, and statistical data into the centralized data warehouse to enrich the enterprise's data ecosystem.
Data Integration and Dashboard Creation
Integrated all data into a centralized repository and developed 30 dashboards to provide comprehensive insights. Created a centralized dashboard hub for easier access and personalization based on user preferences, ensuring that users can quickly find and utilize the information they need.
Security Controls
Implemented stringent security measures, including data encryption and role-based access control, to protect sensitive information and comply with data governance policies.
