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IBM Planning Analytics vs Oracle HFM comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Customer Service

Sentiment score
5.9
IBM Planning Analytics support is generally effective but can be slow, requiring escalation for complex issues and delays occasionally.
Sentiment score
6.5
Oracle HFM support is knowledgeable but sometimes slow; users rely on partner networks and external resources for help.
 

Scalability Issues

Sentiment score
7.8
IBM Planning Analytics is adaptable, scalable, efficiently supports growth, and handles large user numbers, depending on sufficient RAM.
Sentiment score
8.2
Oracle HFM supports large organizations effectively, offering scalability and stability, though some prefer SuccessFactors for better scalability options.
 

Stability Issues

Sentiment score
7.7
IBM Planning Analytics is praised for stability and performance, though configuration issues and vendor support delays are noted.
Sentiment score
8.1
Oracle HFM is stable, reliable, user-friendly, but occasionally performance issues arise despite consistent high stability ratings.
 

Room For Improvement

IBM Planning Analytics needs integration, usability enhancements, AI features, improved templates, and simplified pricing for better competitiveness.
Oracle HFM needs modern updates in usability, integration, and functionality, including improved reporting, automation, and a unified system.
 

Setup Cost

IBM Planning Analytics costs include licensing and setup fees, with benefits varying by user type and company size.
Oracle HFM's user-based licensing is costly but ensures compliance, reduces risks, and offers a good return on investment.
 

Valuable Features

IBM Planning Analytics provides flexible modeling, real-time calculations, Excel integration, and advanced features for efficient budgeting and forecasting.
Oracle HFM excels in data consolidation, multi-currency handling, and financial reporting, offering flexibility and user-friendly access.
 

Categories and Ranking

IBM Planning Analytics
Ranking in Business Performance Management
4th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
23
Ranking in other categories
No ranking in other categories
Oracle HFM
Ranking in Business Performance Management
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Business Performance Management category, the mindshare of IBM Planning Analytics is 9.5%, up from 8.4% compared to the previous year. The mindshare of Oracle HFM is 9.8%, up from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Business Performance Management
 

Featured Reviews

Gnanavel-Chakkarapani - PeerSpot reviewer
Can easily create dashboards and helps businesses improve forecasting accuracy
The product has improved our company's forecasting accuracy since it serves as a very useful tool for our sales and controller teams as they easily get to enter the inputs using views in TM1, which gets loaded into our main database. If there are sales team members in different parts of the world, like in Hong Kong and Singapore, they may prefer to use IBM Planning Analytics, which is easy to use when compared to the Excel tool. Speaking about planning analytics and data analysis, I would say that our company used to use IBM Cognos Analytics for reporting, where we used to use Cognos Dynamic Cubes so that users can easily use its drag and drop features while getting to see the data for which the users had to wait for two to three minutes prior to its use. In our company, tons of data are loaded into the memory, and users can use Cognos Dynamic Cubes to analyze data and understand it. The AI capabilities of IBM have benefited our planning strategy as they are very useful for business. The tool allows the easy creation of dashboard reports using AI capabilities. No technical knowledge is required for business use cases. It is possible to integrate the product in scenarios where some new integrations are available. I remember that my company used Azure Data Factory to connect Azure, Oracle, and IBM WebSphere Application Server. When it comes to IBM Planning Analytics, it is complex to integrate it with LDAP and or any other authentication tool offered by Microsoft. In our company, some users like to integrate IBM Planning Analytics with the common LDAP or Microsoft AD, which we currently use for all our applications. The authentication part is difficult to configure with IBM Planning Analytics. The maintenance of the product is easy. My company has scheduled maintenance on the product every week, especially during forecast times, so that memories automatically lapse and users can freely access their servers. The use of the tool has had an impact on collaboration within our company's planning team since everyone knows how to easily access the data and publish the results. I recommend the product to those who plan to use it. I rate the tool a nine out of ten.
AhmedHaridy - PeerSpot reviewer
Offers flexibility and ease of configuration
The initial setup of Oracle HFM is generally straightforward and not overly complex. The deployment time for Oracle HFM varies with the resources, but it usually takes around three to eight months, with an average of three to four months. The deployment process for Oracle HFM involves several key steps. It begins with the installation of Oracle software, followed by gathering requirements and relevant documents. These documents help define the report formats and service needs. Next, the team configures the system, starting with the enterprise structure, which needs to align with the ERP system. Data loading and configuration follow, with Oracle HFM typically requiring more resources compared to other systems like SuccessFactors.
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Top Industries

By visitors reading reviews
Educational Organization
48%
Financial Services Firm
9%
Computer Software Company
7%
Manufacturing Company
6%
Manufacturing Company
12%
Financial Services Firm
12%
Computer Software Company
11%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Planning Analytics?
The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized.
What is your experience regarding pricing and costs for IBM Planning Analytics?
The cost of IBM Planning Analytics is not cheap, considering the amount of money involved. However, it offers good ROI for customers.
What needs improvement with IBM Planning Analytics?
The workspace API should be improved and documented so we know better which objects and tier-one objects are used.
What do you like most about Oracle HFM?
The most valuable feature is the flexibility and ease of configuration in terms of testing and formula creation.
What is your experience regarding pricing and costs for Oracle HFM?
It depends on the discount offered by Oracle. It is an expensive product but delivers what it promises, ensuring regulatory compliance, reducing risks associated with spreadsheets, and providing a ...
What needs improvement with Oracle HFM?
Improvements can be made by possibly different interfaces to modernize it, more automation in scripting, and better integration with third-party solutions and reporting capabilities.
 

Also Known As

Cognos TM1, IBM Cognos TM1
HFM
 

Learn More

 

Overview

 

Sample Customers

ManpowerGroup, Convergys, AIG, Orchard Brands, Citibank, InterGen, Northwestern University, EF Education First, Ironside, Bazan Group, CSOB Insurance, Macquarie Group, Charles Stanley, SATO, Government of Sint Maarten, BMW Financial Services
B&B Hotels, Goldwind, Drake & Scull
Find out what your peers are saying about IBM Planning Analytics vs. Oracle HFM and other solutions. Updated: December 2024.
824,067 professionals have used our research since 2012.