Find out what your peers are saying about Microsoft, Salesforce, IBM and others in Reporting.
It helps a lot with creating reports straight from raw data, which saves me so much time.
I have seen a return on investment, as the accuracy has really improved in my organization since everything is automated.
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 customer support for IBM Planning Analytics is very responsive and supportive 24/7.
IBM Planning Analytics' scalability is impressive, as it is able to gather data from multiple sources and handle huge amounts of data without any lagging or downtime.
The scalability of IBM Planning Analytics is very high, and we are able to work with huge amounts of data with flexibility.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
The performance of IBM Planning Analytics has always been fast and reliable for my needs, even when dealing with huge volumes of data.
A stable platform prevents loss of time during this process.
IBM Planning Analytics is stable because the reason we switched from IBM Cognos is that IBM Planning Analytics capability allows us to connect to multiple tools, which we could not do before.
Additionally, the licensing cost could be reduced a little, and there should be more plans based on feature usage level, as some small organizations or small teams may not afford the current pricing.
IBM Planning Analytics does not work offline, which makes it difficult for me and my team to work or gather required data when we do not have an internet connection.
IBM's visualization needs significant improvement.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
Given the product's old architecture and interface, they need to make it more affordable.
My experience with pricing, setup cost, and licensing for IBM Planning Analytics is that the pricing and licensing cost can be somewhat on the higher side, especially for small organizations.
The scenario modeling feature in IBM Planning Analytics is probably the most robust planning and forecasting solution we use, especially for what-if scenarios.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
Data security is very important in my organization, providing peace of mind through protecting our data.
| Product | Mindshare (%) |
|---|---|
| Birst | 0.8% |
| Microsoft Power BI | 17.4% |
| Tableau Enterprise | 16.5% |
| Other | 65.3% |
| Product | Mindshare (%) |
|---|---|
| IBM Planning Analytics | 4.4% |
| Anaplan | 7.1% |
| Board | 5.0% |
| Other | 83.5% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 7 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
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).
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.
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