Optimizing BI and Data Warehousing: How VITAL Transformed Operations with Wise BI

VITAL

VITAL is a well-known international logistics and supply chain solutions provider that originates from America. Offering a wide range of services, VITAL focuses on providing highly professional outsourcing supply chain solutions in many fields. As a result of innovation and passion to produce quality service, VITAL is always looking for ways to optimize its operations.

Challenges Faced

1. Miscommunication: Interactions between the business units and the development team were lacking, causing conflicting objectives and schedule inefficiency.
2. Data Quality Issues: The operational application datasets did not meet the quality standards as they had no predefined data dictionary to identify the duplicates within the Enterprise Data Warehouse (EDWH).
3. Performance Problems: Production environment issues such as inadequate resources and too many logs have culminated in delays in the deployment and ETL (Extract, transform, and load) plans.
4. Maintenance Plan Issues: The Data Warehouse Maintenance Plan was not implemented correctly, which explained the problems with the system.
5. UAT Challenges: Insufficient production datasets in the User Acceptance Testing (UAT) environment have produced challenges within the testing phase.

Solution

Wise BI provided a comprehensive specified solution to address VITAL’s challenges:

1. Qualified Consultants: Wise BI has expert consultants in business intelligence and analytics to develop BI reports, dashboards, datasets, and data marts to satisfy both internal and external user demands.
2. Dashboard Transformation: To update the BI dashboards to modern-day industry standards and make them more visually appealing to the users.
3. Agile Methodology: Used agile methodology in BI change process to increase flexibility and responsiveness of the implemented plans.
4. ETL Framework Improvement: Modified the ETL framework to increase the expressiveness of the high-demand processes for the general case.
5. Database Optimization: Enhanced needed reporting by reorganizing the existing database structure, creating indexes, and partitioning tables accordingly.

Results

1. BI Growth: Implemented significant BI growth across the enterprise, transforming it into a data-driven organization.
2. ETL Performance: Efficient ETL processing which was achieved in 25% less amount of time compared to previous processing time.
3. Developer Efficiency: Helped reduce the time developers spent on documentation by 35 minutes on average, allowing them to focus on important tasks.
4. Team Performance: Enhanced work productivity and quality derived from improved team efficiency in handling the project.
5. Data Quality: Increased data credibility and quality of BI projects, thus enhancing the value of the results that are generated.
6. Resource Optimization: Projects that were successfully implemented made time and minimized the dependence on technical manpower hours by directing it to other productive and crucial tasks.

Conclusion

This partnership between VITAL and Wise BI brought about a tremendous improvement in VITAL’s BI and data warehousing competency. Addressing these challenges and applying proper solutions, Wise BI allowed for increasing the efficiency of VITAL, improving the data quality and overall performance. This insight proves how the case scenario showed the effectiveness of the strategic partnership and integrated solutions aimed at enhancing the logistics processes.

If your organization struggles with similar issues or needs to enhance BI and data warehousing operations, turn to Wise BI and discover how our customized services can help your business grow.