A US-based retail enterprise was using QlikView for reporting. Their data source was Amazon Redshift. They started facing challenges as data volumes grew, as QlikView reports made slow performance and were costly to support. Business users started to demand advanced, interactive, and scalable analytics. The client approached us with the challenge, to which we proposed a migration from QlikView to Power BI. Their objective was better performance, improved visualizations, and seamless integration.
Power BI
Amazon RedShift
SQL
AWS
ETL
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.
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Users found the existing dashboard to be outdated and obsolete, which has made identifying trends or drilling down into detail a sluggish process.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.
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.
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.
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.
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.
We even provided training to their internal team and basic documentation to help business users fully leverage self-service analytics and improve adoption.
We built business-oriented data models and reusable datasets to empower users so that they can create and modify reports without heavy IT dependency.
Our centralized datasets and governed DAX measures made sure to offer consistent KPI definitions across all reports and teams.
With Power BI, you get secure, role-based access to reports. You can easily share and collaborate with business users for detailed plan.
After optimizing data models and RedShift Queries, our client noticed a massive reduction in report load and refresh times.
Once the dashboard was live, our client noticed a surge in active usage. All due to intuitive and interactivity in reporting and easier navigation.
There was a 40% reduction in ad hoc requests for report changes and analysis due to self-service capabilities.
There were minimal KPI discrepancies left post migration, which made sure standardized and trusted metrics.
Another major outcome from migration was lowering maintenance and licensing costs. It was around 30–35% reduction post-migration from QlikView to Power BI.
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