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OverviewReviewsLikes and Dislikes

Ratings Overview

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mail_outlineEmail Page
4.4
0 Reviews (All Time)

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Distribution based on 0 ratings
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Customer Experience

Evaluation & Contracting
4.3
 
 
 
 
 
Integration & Deployment
4.7
 
 
 
 
 
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4.5
 
 
 
 
 
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4.6
 
 
 
 
 

Overall experience with

How helpful reviews are selected
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Favorable Review

5.0
June 16, 2026
Product: Microsoft Power BI

Centralized analytics and real-time monitoring reshape reporting and decision making

Critical Review

3.0
July 16, 2026
Product: Microsoft Power BI

Streamlined analytics gains offset by difficulties for less-technical users

Likes and dislikes about

likes

Power BI transforms data from a reporting asset into an active decision support capability. The use of reusable semantic logics and standardized calculations ensure consistency across reports and allow insights to remain aligned with our business definitions especially when analyzing real estate performance and finances. Its proactive monitoring and realtime insight have also added significant value. instead of waiting for scheduled reports, Power BI help surface anomalies and performance shifts early, enabling faster response to operational changes. Combined with realtime processing and automated alerts , this creates a stronger visibility across our workflow. Another capability we have found valuable is conversational and autonomous analysis. Features such as natural language querying and copilot makes analysis more accessible to our non technical stakeholders by allowing our team to explore insights through simple business questions. The ability to extend this further with custom AI driven workflows creates opportunities to automate actions and improve responsiveness across our operations

June 16, 2026

dislikes

Additional licensing requirements: The advanced AI features cost extra. Whilst this is standard business practice, it has seen an increase in our costs. Can be difficult for casual users: While viewing reports is straight-forward, we have found that newer users may struggle with the layout and maintaining of reports. Steep learning curve: To create more complex reports, data models and analytics workflows you need to have almost specialist knowledge and experience. This does make sense, however the process could be streamlined.

July 16, 2026

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