How We Work
BI Project Process Line
This process line represent the phases of how we work on any BI project from scratch until it go live.
This initial phase involves gathering and analyzing business requirements to ensure the BI solution aligns with organizational goals and user needs.
Requirement Analysis
Identifying and assessing various data sources is crucial to ensure that the right data is available for analysis and insights.
Data Sources Exploration
Designing the BI solution’s architecture is key to addressing data granularity, security, and overall system design.
Solution Architecture
Setting up development, testing, and production environments is essential for a smooth BI implementation process.
Environment Setup
Creating a data warehouse involves structuring data storage to support efficient data retrieval and analysis.
Data Warehouse Design & Build
Developing ETL processes is critical for moving and transforming data from source systems to the data warehouse.
ETL Development
Constructing data models helps in defining KPIs and measures that will drive analytics and reporting.
Data Modelling
Building intuitive reports and dashboards is necessary for visualizing data and aiding in decision-making.
Visualization
Testing for functionality, usability, and security ensures the BI solution meets quality standards.
Quality Assurance
Proper packaging and deployment make the BI solution accessible to end-users.
Packaging & Deployment
After going live, providing continuous support is vital for maintaining and updating the BI solution.