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Client Business Goals
Our client’s objective was to upgrade their existing business intelligence platform, to which we proposed migrating from QlikView to Power BI reports while continuing to use Amazon Redshift as the enterprise data warehouse. The initiative indicates improving reporting performance and minimizing operational costs. Besides, migration even aims at allowing users with self-service analytics that support rapid decision-making.
- Migrating the current QlikView to Power BI without hampering business operations.
- To uplift reporting standards, performance, and data refresh times using upgraded Redshift queries and Power BI models.
- Implementing interactive and standardized dashboards to uplift data visualization and user experience.
- Focusing on reducing maintenance and licensing costs.
- Executing self-service analytics and better collaboration across business teams.
Business Challenges
The client reported that the waiting time was longer for business users, as reports took time to load or refresh. It has continued to happen during peak hours, disrupting meetings and delaying decisions as data volumes continue to grow in Amazon Redshift.
Users found the existing dashboard to be outdated and obsolete, which has made identifying trends or drilling down into detail a sluggish process.
Moreover, the client also reported that they had to involve IT personnel even for minute tasks like adding a filter or revamping a metric. It has slowed down their resource utilization capacity and limited their ability to respond to customer queries.
Since there are multiple teams, there will always be differences of opinion, which result in dilemmas during reviews and a lack of confidence in data presentation.
Technical Solution
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Optimized Performance & Faster Refreshes
Our developers integrated Power BI with Amazon Redshift using optimized SQL queries, efficient data models, and incremental refreshes. As a result, you can notice a significant reduction in report load and refresh times.
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Upgraded Interactive Visualizations
We implemented modern Power BI visuals, drilldowns, slicers, and tooltips to fetch intuitive data exploration and better insight discovery. With this, our client was able to easily extract actionable information from the data.
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Phase-Wise Migration
We migrated reports in phases, giving high priority to dashboards. It helped our client start see the real-value quickly and the migration was completed smoothly.
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Parallel Run for Validation
We made sure that both QlikView and Power BI reports runs parallelly for a short period. This way, we made sure that the numbers match and build user confidence in the new platform.
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User Training and Documentation
We even provided training to their internal team and basic documentation to help business users fully leverage self-service analytics and improve adoption.
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Self-service Reporting Enablement
We built business-oriented data models and reusable datasets to empower users so that they can create and modify reports without heavy IT dependency.
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Standardized Metrics and Governance
Our centralized datasets and governed DAX measures made sure to offer consistent KPI definitions across all reports and teams.
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Improved Accessibility and Collaboration
With Power BI, you get secure, role-based access to reports. You can easily share and collaborate with business users for detailed plan.
Project Glimpse
Key Features
Cloud-Supported Reporting and Collaboration
Role-Based Protection and Access Control
Self-Service Analytics
Centralized KPI and Metrics Governance
Scalable and Cost-Effective BI Architecture
Amazon Redshift Integration
Results
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01.
45-55% Improvement in Report Performance
After optimizing data models and RedShift Queries, our client noticed a massive reduction in report load and refresh times.
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02.
60% Higher User Adoption
Once the dashboard was live, our client noticed a surge in active usage. All due to intuitive and interactivity in reporting and easier navigation.
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03.
40% Reduction in IT Dependency
There was a 40% reduction in ad hoc requests for report changes and analysis due to self-service capabilities.
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04.
Consistent and Reliable Reporting
There were minimal KPI discrepancies left post migration, which made sure standardized and trusted metrics.
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05.
30-35% Lower BI Operational Costs
Another major outcome from migration was lowering maintenance and licensing costs. It was around 30–35% reduction post-migration from QlikView to Power BI.