IBM Watson Explorer vs Microsoft Power BI comparison

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #10 in DM , and holds a 0.7% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 7.9, and holds a 22.4% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

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Executive Summary

We performed a comparison between IBM Watson Explorer and Microsoft Power BI based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Watson Explorer vs. Microsoft Power BI Report (Updated: March 2020).

Buyer's Guide

IBM Watson Explorer vs. Microsoft Power BI

March 2020

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

Data Mining

BI (Business Intelligence) Tools

Featured Reviews

Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts

I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.

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it_user840897

Head of Commercialization at Woodside Energy

Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them

WEX is more a platform, I believe, than it is the application. I could talk about what I'm looking for in the application. We've done visualizations and we can do basic analysis with the system as it stands. Where we're looking to take it is implementing it into workflows, so the workers on the line can actually understand the risks that they're exposing themselves to and then address them on the fly. So that's fantastic. And then the final one is, it's not prediction, but maybe anticipation. So when people are put at risk, we'll be implementing solutions shortly that will help people anticipate the risks and the dangers they're exposing themselves to so they can control them.

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Amol Rane

Solutions Architect M365 at Sogeti UK

Supports AI initiatives in terms of predictive analytics

The only issue is with permissions. Sometimes, despite granting granular permissions, dashboards are visible to people who shouldn't have access. It's difficult to understand why the permissions slip out. Sometimes dashboards are visible to stakeholders even though they should not have permission. It's a bit difficult to understand why the permissions slip out. The dashboards lack a user-friendly appearance, and the permissions should be easier to understand. At this point, we have to go through a lot of details. It takes a lot of time to understand the permissions, so if there were better options available within the Power BI setup, it would be quite beneficial, especially for admins. So, there should be a more user-friendly dashboard appearance and easier-to-understand permissions.

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Quotes from Members

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

Pros

"SPSS is quite robust and quicker in terms of providing you the output."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

"Most of the product features are good but I particularly like the linear regression analysis."

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."

"It has the ability to easily change any variable in our research."

"The most valuable features are the small learning curve and its ability to hold a lot of data."

"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."

"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."

More IBM SPSS Statistics pros

"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 valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."

"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."

"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."

"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."

"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."

"The use of graphics to show and view the data indicators is the most valuable feature. It is also very stable."

"We have a lot of servers and applications from which we want reports, and it allows us to create reports from an SQL source or some other source."

"The product is easy to use and simple to navigate."

"It is in the cloud, which makes it easy for mobile access of reports and data."

"The dashboard features are really valuable, you can connect to multiple data points."

"The most valuable features of Microsoft BI are its intuitiveness and ease to use."

"The interface is very fluid."

"The most valuable aspect of Microsoft Power BI in my field is the insights it provides from analyzing data. Sometimes, these insights go beyond what traditional analysis can reveal due to the large volume of data involved. In terms of improving our data analysis process, it starts with identifying data sources, followed by cleaning and filtering out irrelevant data. Then, we categorize and structure the data to achieve the best visualization and insights. Regarding Power BI's integration with other tools, although we haven't implemented it ourselves, it's known that Power BI can integrate with systems like SAP or ERP software, which could enhance our analytics capabilities if needed."

More Microsoft Power BI pros

Cons

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"Better documentation on how to use macros."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"The solution needs more planning tools and capabilities."

"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

"This solution is not suitable for use with Big Data."

"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."

More IBM SPSS Statistics cons

"It needs better language support, to include some other languages. Also, they should improve the user interface."

"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."

"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."

"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"

"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"

"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."

"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."

"The solution could improve by providing more free visuals. A lot of them are very nice but you have to purchase them."

"Most of the dashboarding tools have prebuilt graphs. So, you have to stick with them, unless you are going to use a third-party tool to create them, and then you are going to upload them to the BI tool. In Power BI, they started supporting this functionality and created a tool for that, but it isn't yet complete and mature. It is still exceeding the expectations and is better than most of the BI tools when it comes to creating custom graphs, but it needs more enhancement and simplification. It would be good to have a design tool provided by Power BI to design the graphs that we want and set the figures that we want on them."

"Automation could be improved and performance enhanced."

"It would be nice to use other connectors to link with the data."

"Microsoft BI can improve some of the visual level filters or visual functionality, that are available in other BI tools, such as Tableau or Qlik Sense."

"The dashboard could be simplified."

"Although there are many visualizations, most of them are paid separately because they have been developed by private developers. The visualizations that come off the shelf are quite few."

"One thing I would like to have is the scripting language, as they already have within Excel. It's already within a Microsoft business product, because Excel is the number one business product out there. So it would be nice to have the scripting capability in order to automate certain processes."

More Microsoft Power BI cons

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"The price of this solution is a little bit high, which was a problem for my company."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"More affordable training for new staff members."

"I rate the tool's pricing a five out of ten."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"The price of IBM SPSS Statistics could improve."

More IBM SPSS Statistics pricing and cost advice

"The solution is expensive."

"As far as I am aware you do not need a license for the solution."

"In the beginning, the solution cost approximately $1,000 per month, we have a Microsoft startup subscription. There is a subscription pack for startups company which we are able to have for one year."

"Its pricing is great."

"Its cost seems to be unreasonable if you have many users, but for a lesser number of users, it is reasonable. It is $10 per month. Clients easily accept this option, so they must think it is reasonable. It is quite cheap as compared to other tools, such as Tableau. One of the best things about this solution is that it has a trial version."

"The pricing is good. It's pretty competitive because I have worked on a few other tools as well, and Power BI is on the cheaper side."

"I rate the product price an eight on a scale of one to ten, where one is low price and ten is high price."

"I would advise that Microsoft BI products are rightly priced and the licensing is easy to follow and to fulfill."

"Microsoft BI is considered to be competitively priced when compared to other similar solutions in the market."

More Microsoft Power BI pricing and cost advice

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Comparison Review

it_user79932

Senior Manager - BI Head at NVidia

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

University

Manufacturing Company

Computer Software Company

18%

Educational Organization

13%

Outsourcing Company

12%

Financial Services Firm

10%

Educational Organization

42%

Financial Services Firm

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...

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What needs improvement with IBM SPSS Statistics?

IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...

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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...

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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...

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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 ...

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Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 16% of the time

Alteryx vs IBM SPSS Statistics

Compared 13% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 11% of the time

Weka vs IBM SPSS Statistics

Compared 10% of the time

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Salesforce Einstein Analytics vs IBM Watson Explorer

Compared 30% of the time

Tableau vs IBM Watson Explorer

Compared 27% of the time

Izenda vs IBM Watson Explorer

Compared 8% of the time

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Tableau vs Microsoft Power BI

Compared 16% of the time

Domo vs Microsoft Power BI

Compared 9% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 8% of the time

Databricks vs Microsoft Power BI

Compared 6% of the time

KNIME vs Microsoft Power BI

Compared 6% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

December 2024

Download IBM SPSS Statistics product report

Buyer's Guide

IBM Watson Explorer

December 2024

Download IBM Watson Explorer product report

Buyer's Guide

Microsoft Power BI

December 2024

Download Microsoft Power BI product report

Also Known As

SPSS Statistics

IBM WEX

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI

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IBM

Microsoft

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

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.

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

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

Buyer's Guide

IBM Watson Explorer vs. Microsoft Power BI

March 2020

Free Report: IBM Watson Explorer vs. Microsoft Power BI

Find out what your peers are saying about IBM Watson Explorer vs. Microsoft Power BI and other solutions. Updated: March 2020.

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