Microsoft Power BI and Birst are analytics platforms providing business intelligence solutions. Power BI generally has an advantage due to better pricing and support.
Features: Power BI offers interactive data visualization, seamless integration with Microsoft products, and real-time analytics. Birst provides advanced data modeling, a unified semantic layer, and robust data management for complex environments.
Room for Improvement: Power BI could enhance its data management capabilities and scalability for larger, complex datasets. Birst could improve user interface intuitiveness and reduce setup complexity. Both platforms might benefit from greater customization options and enhanced speed for real-time processing.
Ease of Deployment and Customer Service: Power BI provides straightforward deployment and benefits from wide Microsoft support, making it easier to deploy. Birst requires a more complex initial setup but offers flexible cloud-based deployment and dedicated customer service for tailored support.
Pricing and ROI: Power BI offers lower initial costs with a subscription model, providing significant ROI through user-friendly integration. Birst's pricing is competitive but can involve higher initial costs, and its investment might pay off in advanced data processing environments.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
| Product | Market Share (%) |
|---|---|
| Microsoft Power BI | 24.3% |
| Birst | 0.4% |
| Other | 75.3% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 134 |
| Midsize Enterprise | 57 |
| Large Enterprise | 165 |
Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.
A unified semantic layer maintains common definitions and key metrics.
Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.
Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.
Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).
Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.
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