Find out what your peers are saying about Oracle, Anaplan, IBM and others in Business Performance Management.
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.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
We have a multi-level support system, with the initial level handled by the company we bought the license from and subsequent support from IBM.
Instead, we rely on third-party partners recognized by IBM, who provide cost-effective support.
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.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
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.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
This stability is really important as we use it for budget calculation, which is time-consuming.
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.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to.
IBM's visualization needs significant improvement.
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.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
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.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
Its stability helps controllers win time in their planning processes.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
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.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
IBM Planning Analytics is an integrated planning solution that uses AI to automate planning, budgeting, and forecasting and drive more intelligent workflows.
Built on TM1, IBM’s powerful calculation engine, this enterprise performance management tool allows you to transcend the limits of manual planning and become the Analytics Hero your business needs. Quickly and easily drive faster, more accurate plans for FP&A, sales, supply chain and beyond.
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.
Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.