IBM Planning Analytics vs. IBM Watson Studio on Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Planning Analytics
Score 8.4 out of 10
N/A
IBM Planning Analytics, powered by IBM TM1®, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With its calculation engine, this enterprise performance management solution is designed to help users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. Use it to unify data sources into one single repository, enabling users to build…
$825
per month 5 users
IBM Watson Studio
Score 8.0 out of 10
N/A
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
Pricing
IBM Planning AnalyticsIBM Watson Studio on Cloud Pak for Data
Editions & Modules
Essentials
$825
per month 5 users
Standard
$1,650
per month 10 users
No answers on this topic
Offerings
Pricing Offerings
IBM Planning AnalyticsIBM Watson Studio
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Planning AnalyticsIBM Watson Studio on Cloud Pak for Data
Considered Both Products
IBM Planning Analytics
Chose IBM Planning Analytics
While every product has its sweet spot; our clients prefer IBM Planning Analytics for:
  1. Scalability: not requiring multiple models to deliver a solution
  2. Nimbleness: fast calculations and added advantages like Sparsity
IBM Watson Studio

No answer on this topic

Top Pros
Top Cons
Features
IBM Planning AnalyticsIBM Watson Studio on Cloud Pak for Data
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Planning Analytics
8.9
82 Ratings
10% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Pixel Perfect reports8.473 Ratings00 Ratings
Customizable dashboards9.382 Ratings00 Ratings
Report Formatting Templates8.977 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Planning Analytics
8.8
87 Ratings
6% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Drill-down analysis9.485 Ratings00 Ratings
Formatting capabilities9.386 Ratings00 Ratings
Integration with R or other statistical packages7.566 Ratings00 Ratings
Report sharing and collaboration9.083 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Planning Analytics
8.3
85 Ratings
1% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Publish to Web7.880 Ratings00 Ratings
Publish to PDF9.379 Ratings00 Ratings
Report Versioning8.379 Ratings00 Ratings
Report Delivery Scheduling7.670 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Planning Analytics
7.9
85 Ratings
3% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)9.385 Ratings00 Ratings
Location Analytics / Geographic Visualization8.180 Ratings00 Ratings
Predictive Analytics7.676 Ratings00 Ratings
Pattern Recognition and Data Mining6.89 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM Planning Analytics
9.1
88 Ratings
4% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Multi-User Support (named login)9.686 Ratings00 Ratings
Role-Based Security Model9.687 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)9.688 Ratings00 Ratings
Report-Level Access Control8.713 Ratings00 Ratings
Single Sign-On (SSO)8.282 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM Planning Analytics
7.4
78 Ratings
8% below category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Responsive Design for Web Access7.577 Ratings00 Ratings
Mobile Application6.941 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile6.950 Ratings00 Ratings
Budgeting, Planning, and Forecasting
Comparison of Budgeting, Planning, and Forecasting features of Product A and Product B
IBM Planning Analytics
9.4
92 Ratings
12% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Long-term financial planning9.590 Ratings00 Ratings
Financial budgeting9.592 Ratings00 Ratings
Forecasting9.592 Ratings00 Ratings
Scenario modeling9.591 Ratings00 Ratings
Management reporting8.891 Ratings00 Ratings
Consolidation and Close
Comparison of Consolidation and Close features of Product A and Product B
IBM Planning Analytics
8.5
86 Ratings
5% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Financial data consolidation9.382 Ratings00 Ratings
Journal entries and reports8.377 Ratings00 Ratings
Multi-currency management8.876 Ratings00 Ratings
Intercompany Eliminations7.676 Ratings00 Ratings
Minority Ownership6.969 Ratings00 Ratings
Local and consolidated reporting9.579 Ratings00 Ratings
Detailed Audit Trails9.381 Ratings00 Ratings
Financial Reporting and Compliance
Comparison of Financial Reporting and Compliance features of Product A and Product B
IBM Planning Analytics
8.7
87 Ratings
5% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Financial Statement Reporting9.583 Ratings00 Ratings
Management Reporting8.984 Ratings00 Ratings
Excel-based Reporting9.586 Ratings00 Ratings
Automated board and financial reporting8.976 Ratings00 Ratings
XBRL support for regulatory filing6.955 Ratings00 Ratings
Analytics and Reporting
Comparison of Analytics and Reporting features of Product A and Product B
IBM Planning Analytics
9.1
88 Ratings
12% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Personalized dashboards9.487 Ratings00 Ratings
Color-coded scorecards9.383 Ratings00 Ratings
KPIs9.486 Ratings00 Ratings
Cost and profitability analysis9.486 Ratings00 Ratings
Key Performance Indicator setting9.485 Ratings00 Ratings
Benchmarking with external data7.958 Ratings00 Ratings
Integration
Comparison of Integration features of Product A and Product B
IBM Planning Analytics
8.9
88 Ratings
7% above category average
IBM Watson Studio on Cloud Pak for Data
-
Ratings
Flat file integration8.985 Ratings00 Ratings
Excel data integration9.586 Ratings00 Ratings
Direct links to 3rd-party data sources8.278 Ratings00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IBM Planning Analytics
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.1
22 Ratings
4% below category average
Connect to Multiple Data Sources00 Ratings8.022 Ratings
Extend Existing Data Sources00 Ratings8.022 Ratings
Automatic Data Format Detection00 Ratings9.921 Ratings
MDM Integration00 Ratings6.414 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM Planning Analytics
-
Ratings
IBM Watson Studio on Cloud Pak for Data
10.0
22 Ratings
17% above category average
Visualization00 Ratings10.022 Ratings
Interactive Data Analysis00 Ratings10.022 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IBM Planning Analytics
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
14% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.922 Ratings
Data Transformations00 Ratings10.021 Ratings
Data Encryption00 Ratings8.020 Ratings
Built-in Processors00 Ratings10.021 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IBM Planning Analytics
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
11% above category average
Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
Automated Machine Learning00 Ratings9.922 Ratings
Single platform for multiple model development00 Ratings9.922 Ratings
Self-Service Model Delivery00 Ratings8.020 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
IBM Planning Analytics
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.0
22 Ratings
7% below category average
Flexible Model Publishing Options00 Ratings9.022 Ratings
Security, Governance, and Cost Controls00 Ratings7.022 Ratings
Best Alternatives
IBM Planning AnalyticsIBM Watson Studio on Cloud Pak for Data
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No answers on this topic

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User Ratings
IBM Planning AnalyticsIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
9.5
(98 ratings)
8.0
(65 ratings)
Likelihood to Renew
9.1
(5 ratings)
8.2
(1 ratings)
Usability
8.2
(63 ratings)
9.6
(2 ratings)
Availability
-
(0 ratings)
8.2
(1 ratings)
Performance
-
(0 ratings)
8.2
(1 ratings)
Support Rating
9.3
(88 ratings)
8.2
(1 ratings)
In-Person Training
-
(0 ratings)
8.2
(1 ratings)
Online Training
-
(0 ratings)
8.2
(1 ratings)
Implementation Rating
-
(0 ratings)
7.3
(1 ratings)
Product Scalability
9.1
(1 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(1 ratings)
Vendor pre-sale
-
(0 ratings)
8.2
(1 ratings)
User Testimonials
IBM Planning AnalyticsIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
IBM
I would be likely to recommend IBM Planning Analytics, particularly in scenarios where comprehensive financial and operational planning is essential. For instance, in our construction company, it is awesome for optimizing resource allocation across multiple projects, creating detailed project budgets, and conducting risk analysis to mitigate project uncertainties.
Read full review
IBM
It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
Read full review
Pros
IBM
  • Forecasting after taking into account seasonal trends and exceptional transactions
  • Unlike spreadsheets, there is no fear of an user making changes to the mastercopy accidentally. Each user gets his or her own workspace to analyze.
  • For entities operating in multiple countries, connects seamlessly with IBM Cognos Controller for taking into account variation in currencies
Read full review
IBM
  • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
  • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
  • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
  • Estimator validation lets data scientists test and prove different models.
Read full review
Cons
IBM
  • IBM Planning Analytics was an upgrade from an older version of TM1 that is experiencing some growing pains, some functionality is harder to reach than it has been in the past
  • It is easy to learn as a surface user with created reports, but it does require some technical skills to make advanced calculations and reports if there is no reliable consultant available, much like Excel
Read full review
IBM
  • The cost is steep and so only companies with resources can afford it
  • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
  • It takes a while to learn how to input different kinds of skin defects for detection
Read full review
Likelihood to Renew
IBM
Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.
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IBM
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Read full review
Usability
IBM
For developers, admins and end users looking for flexibility, IBM Planning Analytics would rate very highly on usability. For example, a developer has access to a highly performant built-in ETL (Extract Translate Load) tool and scripting language called Turbo Integrator that can (among other things) bring in data via flat file or direct connection from many data sources, move data around Planning Analytics, perform batch calculations, export to files or other data stores. In the rare situation where limitations are encountered there is a well documented REST API. Admins and end users benefit from the intuitive PAW (Workspace) interface as well as the rich Excel integration through Planning Analytics for Excel (PAfE). Since flexibility inherently comes with a little more complexity, so an organization with simple and "cookie-cutter" requirements may rate Planning Analytics a little lower.
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IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Read full review
Reliability and Availability
IBM
No answers on this topic
IBM
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
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Performance
IBM
No answers on this topic
IBM
Never had slow response even on our very busy network
Read full review
Support Rating
IBM
Although I find the IBM Planning analytics documentation quite time consuming, their support with email and call is something i can term as very considerate and patient, I have had few calls about the features and how i would want to implement them within my projects, and the teams have been super helpful to resolve my issues
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IBM
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
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In-Person Training
IBM
No answers on this topic
IBM
The trainers on the job are very smart with solutions and very able in teaching
Read full review
Online Training
IBM
No answers on this topic
IBM
The Platform is very handy and suggests further steps according my previous interests
Read full review
Implementation Rating
IBM
No answers on this topic
IBM
It surprised us with unpredictable case of use and brand new points of view
Read full review
Alternatives Considered
IBM
Anaplan does not handle sparsity; this is very problematic for large volume data sets (many 0's). There also are limitations to the number of dimensions that can be used in a module. If more dimensions are required, then separate modules need to be built and intertwined. IBM PA does not have these limitations.
Read full review
IBM
The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
Read full review
Scalability
IBM
No answers on this topic
IBM
It helped us in getting from 0 to DSX without getting lost
Read full review
Return on Investment
IBM
  • One of the advantage is on its ability to ease budget and planning
  • Secondly,the fact that it allows for forecasting means based on such insights means that organisations are able to prepare for future eventualities
  • Thirdly, since it can accommodate data from multiple sources means that one is able to carry out best business practices like planning.
Read full review
IBM
  • Could instantly show data driven insights to drive 20% incremental revenue over existing results
  • Still don't have a real use case for unstructured data like twitter feed
  • Some of the insights around user actions have driven new projects to automate mundane tasks
Read full review
ScreenShots

IBM Planning Analytics Screenshots

Screenshot of Workflow managementScreenshot of Income statementScreenshot of Margin analysisScreenshot of Metrics managementScreenshot of Income statementScreenshot of Expense analysis