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IBM Planning Analytics vs IBM Watson Explorer vs Microsoft Power BI comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

Business Performance Management Market Share Distribution
ProductMarket Share (%)
IBM Planning Analytics6.4%
Anaplan10.3%
Oracle Hyperion8.1%
Other75.19999999999999%
Business Performance Management
Data Mining Market Share Distribution
ProductMarket Share (%)
IBM Watson Explorer2.1%
KNIME Business Hub22.1%
IBM SPSS Modeler15.7%
Other60.099999999999994%
Data Mining
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Microsoft Power BI14.5%
Tableau Enterprise11.0%
Amazon QuickSight4.9%
Other69.6%
BI (Business Intelligence) Tools
 

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.
it_user1319820 - PeerSpot reviewer
A data analysis tool that is scalable and includes keyword search functionality
The solution is used for a government company for data collection and analysis I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer. I have been using the solution for five…
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.

Quotes from Members

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

Pros

"The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized."
"The flexibility of IBM Planning Analytics is a great feature of this solution. The design flexibility with data rules and defining calculations The ability to combine online and offline calculations are a benefit. Additionally, the forecasting features and predictive analytics is very good."
"The ease of use is valuable. The fact that it's plugged into Excel spreadsheets is also valuable. It provides additional functionality where you can slice and dice the information in a way that you can't do with spreadsheets"
"The tool is flexible."
"The product's stability is good."
"It's a very stable, robust product."
"IBM Planning Analytics can help us build scenarios through a sandbox environment, allowing us to test multiple variables and assess their impact on our budget and planning."
"This level of stability is crucial for a product like Cognos TM1, as using an unstable platform would result in loss of time."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."
"Scalability-wise, I rate the solution a nine out of ten."
"Premium features that used to cost $5,000 per company per month recently became a lot more accessible. Microsoft recently implemented a per user feature in Power BI Premium; it's $20 per month."
"It is easy to use. It has got a desktop where people can develop their own dashboards. Basically, we have figured out how to connect finance contracts and all programs for the government agency. So, they can see everything in a dashboard. So, it is very easy to use from a technical standpoint of view."
"Good CS and administration."
"You can learn a lot of things quickly using resources like ChatGPT or Microsoft's own solutions, which are very helpful within the Microsoft ecosystem."
"The way data is presented is very valuable. The amount of information that we can get at a glance is also valuable. You can then drill-down and see data from many different angles in the same chart by selecting certain things. Based on the selection, everything changes automatically. If we have four parameters in a particular item, when you select a parameter, the remaining charts on that page automatically change for that particular parameter."
"The visuals are great and make everything look very professional. We can change the look and feel or manipulate the data according to our requirements. It's extremely flexible."
"Very intuitive and easy to use."
 

Cons

"Adding predefined templates could be beneficial."
"The tool's transport layer could be improved when promoting development between environments."
"It is a bit expensive, but it does the job."
"If we talk only about the TM1 engine, it's quite rich and possibly too rich, making it complex to perform simple tasks."
"The dashboard is very poor and needs a lot of improvement."
"Extracting data is a little slow."
"The local authentication part is difficult to manage in the product, making it an area where improvements are required."
"The workspace API should be improved and documented so we know better which objects are used."
"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."
"The solution is expensive."
"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"The issue with the data refresh frequency in Microsoft Power BI is that it's not frequent enough."
"The solution struggles with large amounts of data."
"There are some limitations in Power BI; you have to work in the Power BI base. However, if you want something not out-of-the-box and you want something custom, you have to do a lot of work."
"Its setup and support should be improved. We would like to see more material for developers that provides clear explanations about how we can do data mining by using Microsoft BI. It would also be good if we can connect a feature to other customized machine learning solutions."
"It is not yet ready for enterprises. For a big enterprise data model, it is not so stable, and it also doesn't scale so well."
"SSMS & SSRS."
"This solution needs integration with SAS and more deep analysis functionality."
"It is getting better but still, there are opportunity areas in some aspects, especially the Windows OS dependency."
 

Pricing and Cost Advice

"The license of this solution is paid annually. Most of my customers choose a license that includes support."
"IBM Planning Analytics is priced well, and licensing costs are yearly."
"IBM Planning Analytics is not the cheapest solution, but it's priced per the market standard for this type of solution. I rate the price at seven out of ten."
"Our licensing cost is approximately $50,000.00 per year."
"It is a bit expensive, but you get what you are paying for."
"I would rate the tool's pricing a nine out of ten since it's expensive."
"Compared with the other tools in the market, IBM Planning Analytics is a bit expensive."
"The solution is expensive."
"We have enterprise licenses and some of the other tools or features come as a package and others you have to purchase separately."
"Paid for itself in the first month."
"Microsoft BI is considered to be competitively priced when compared to other similar solutions in the market."
"I think it's a good price, from what I've heard. I know it's competitive with other Power BI tools."
"We are end-users, and we don't take care of the prices and accounting. We get a product and pay the fee to our internal service provider, but its price should be reasonable. Otherwise, they wouldn't have bought it."
"The only other cost, besides the licensing fee, would be to cover support."
"There is a license for this solution and we purchase them annually."
"Its licensing cost is very high. It is $20 per user, which is very high, but it is a good product, so you pay for it."
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
11%
Retailer
7%
Computer Software Company
6%
Educational Organization
14%
Performing Arts
12%
University
10%
Recreational Facilities/Services Company
8%
Financial Services Firm
12%
Computer Software Company
9%
Government
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business134
Midsize Enterprise57
Large Enterprise165
 

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 w...
What is your experience regarding pricing and costs for IBM Planning Analytics?
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly. Comparati...
What needs improvement with IBM Planning Analytics?
IBM is behind competitors like Tableau ( /products/tableau-reviews ) and Power BI in terms of visualization. Their vi...
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Earn 20 points
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I wou...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize info...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are ...
 

Also Known As

Cognos TM1, IBM Cognos TM1
IBM WEX
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
 

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
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
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