SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
$105
per month per user
Logi Symphony
Score 8.9 out of 10
N/A
Logi Symphony is a business intelligence and data visualization software that includes customizable dashboards, reporting, and visual data analytics. It can be integrated into users’ existing business applications and its visualization and reporting tools can be customized.
SPSS strikes the right balance between power and usability. Unlike SAS Viya, it does not require huge investment or specialized staff. It goes far beyond basic statistics when compared to MS Excel and it is very versatile to support multiple departments and business function. …
It's easier to learn and use for the non-data scientist. it integrates well with other IBM products, and it priced appropriately and can scale up as needed.
Excel is fine for baseline level data analysis, but it is more user heavy to perform certain functions. IBM SPSS Statistics allows for the user to do less taxing work in the analysis portion with its preset tools and functions.
It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
I mainly use IBM SPSS Statistics because my university offers it to everyone for free. IBM SPSS Statistics handles statistical functions in a simple way that is easy to learn.
SAS is a very good product. SPSS provided our firm everythinbg we needed and was well within our budget. Also know that IBM is contunusely investing into SPSS. The roadmaps looks good.
Advanced statistical analysis is possible which is not possible in powerbi. It is very much easy to prepare basic charts. I dept statistical tests like regression analysis can be done. It is user -friendly and even layman can understand basic data easily through IBM SPSS's …
Data Scientist ,Pre-Sales,Consultor/Instrutor em Estatística e Mineração de dados em Big Data
Chose IBM SPSS Statistics
I also point out that the two softwares are complementary, then IBM SPSS Statistics works very well with statistical tests, creation and visualization of detailed tables and creation of statistical project models and project models. The IBM SPSS Modeler helps you quickly view …
Occupational Safety, Health, and Environment Technician
Chose IBM SPSS Statistics
I have also used other statistical software such as the SAP Predictive Analytics software, SAP possesses most of the decode options as SPS, but it is not as graphical and easier to use as SPS. Thus, IBM SPSS Statistics was chosen as a primary and powerful statistical tool that …
IBM SPSS Statistics stacks up much better and overall gives the user a much better as well as simpler means to achieve their end goal. It provides a comprehensive set of well tested data management, along with statistical procedures in an easy to use and all in one package …
If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 …
We used IBM SPSS Statistics as it works well with the other IBM tools that we use. It may not work as well for smaller organizations with limited budget/resources. We have a mix of technical and devops people and this tool is easily used by everyone on the team globally.
I have on many occasions launched new versions of a big Python application in production, only to immediately drown in errors, caused by exceptions that were in turn caused by Python code where a single glance confirmed that it could never ever work and consequently had never …
IBM SPSS Statistics is much more professional and geared towards market research applications. The built in queries save time and avoid mistakes. In Excel you can also do powerful things, but it is less geared towards scientific or statistical research. Running a regression …
IBM SPSS Statistics is much easier to use, even in classes with students, compared to other similar data analytic software that I have used previously. I selected it because of this reason and I plan to continue using it in the future. The interface is user friendly and the …
I, along with my supervised research student, used IBM SPSS Statistics compared to other software because of its simplicity and user-friendliness. A timeframe is a fundamental part of research work. Time is precious for both of us in terms of research work and using IBM SPSS …
The price of IBM SPSS and its quality-price ratio was one of the triggers for choosing the software over the competition. The ease of obtaining a demo of the product and the continuous training it presents was another of the key points in the decision making we made in the …
Its better for quick tasks, Psychology, Sociology, may lack in complex models, AI, or business-decision-making models. It's better for things that you want to compare, correlate or detect influence of one on the other. It's worse that R for complex models, custom models, big …
Dundas ticks all the relevant boxes: - set up actually easy and works (was not the case for Pentaho) - you do not need one license per email address you want to send reports to (as for Tableau)
Dundas is an easier GUI overall to navigate and is a lot more visually configurable. The number of data connectors available also allows us to use it as a solution for many projects. The support provided is quick and prompt, with great technical depth when required.
We have tested Tableau prior to Dundas BI and though Tableau is a great package in itself, Dundas BI is much more cost-effective for our needs and requirements and hence zeroed in on Dundas BI.
We have also tried Microstrategy but it has a very dated UI and doesn't suit our …
Per dollar spent, it offers the widest range of features of the tools that we evaluated. It offers lots of options for how to configure your environment, though they are not always intuitive to figure out. Having an ETL layer was a must have for us, as well as the ability to …
Much better for multi-tenancy. Power bi just doesn't have many features and is just lackluster. telerik doesn't look as good although slightly more powerful with data manipulation. Too many BI reporting tools out there don't offer multi-tenancy and I have no idea why. It is …
We were comparing Dundas BI against several other programs and eventually decided to go with Oracle as we were already using a host of their other products. Dundas was just as robust, we were just using more Oracle products and they all fit together very smoothly.
Personally as a dashboard software I use Qlik Sense more because I consider it a very simple product to use, but this is a personal choice. However, for some things, it does not satisfy me fully. In my opinion, they are software that are alternated depending on the customer in …
It is a very good tool for dashboard and scorecard design. It looks great. However, it requires a lot of work regarding renaming components, deploying between different environments, and scripting customized functionalities.
These other products tend to do quite a poor job of allowing you to embed them into other products. Either the architecture is not suited to embedding or they make it too expensive to do this. Dundas is designed and priced to do this (embedding) well. We found Dundas …
Dundas and Sisense are very similar. Both are very powerful and flexible with an eye toward further innovation. I expect both will do well as we enter a major transition period for BI.
Periscope Data and Dundas differ substantially and seem to have different paths forward. …
Dundas BI offers a high level of visual customization in the dashboards if required (through CSS, JavaScript, HTML) as well data customization (C#) in the data cubes. We are an organization that believes in doing as much as possible for ourselves and not replying on …
Manager - Business Intelligence & Data Architecture
Chose Logi Symphony
We were a user of Dundas Dashboard previously. We had explored other tools, but we ended up upgrading to Dundas BI because of the HTML 5 compliance (no more Silverlight requirement), ease of use and time to market. The other tools could do the job, but they were not as flexible …
I selected Dundas BI to be our preferred partner since we saw that it the most flexible tool that allows our customers to design their dashboards in they way that they are not restricted in their development process.
We found that Dundas BI struck the perfect balance between ease of use and flexibility, while still remaining within a reasonable budget. Other products were either to technical, lacked functionality, or "broke the bank".
It is much more powerful to build more interactive and feature rich dashboards. Most of the above are great at ad hoc analysis but not for providing a full feature and rich guided dashboard experience. Dundas BI is great to build a suite of dashboards and easy to deploy …
We looked into Tableau, Qlikview also. These tools are doing all the same basically. There are some items which DundasBi does do really well. Next to the product the organzation behind is really dedicated and commited with their customers. They treat you as a customer and just …
I described earlier that the only scenarios where I use SPSS are those where we have legacy projects that were developed in the late 90s or early 2000s using SPSS, and for some reason, the project (data set, scope, etc.) hasn't changed in 24+ years. This counts for 1-2 out of around 80 projects that I run. Whenever possible, I actively have my team move away from SPSS, even when that process is painful.
Considering it's price point in the market, Dundas BI offers a lot of functionality. They are constantly adding features and bug fixes which is great, but also means there are always updates to take if you want everything to work as expected. The standard user interface is pretty easy to understand, but it takes a while for developers and power users to become independent of documentation.
SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
Project organization from Development to Production, you get a production and development license but I think the best way to do it is with DEV and Prod project in the Production box. Use the development box for testing updates and really crazy things. With the Dev and Prod projects on the same box, you just publish from Dev to Prod and you are done. Users only have access to the Prod projects so no one can mess up what you are working on.
Security - If you have a hierarchy (subsidiaries, divisions, department, teams) and you want each group to see only their data, then Security hierarchies are for you!
Dependent filters! What's this you ask? Here is an example of how it can be used, in your company you have departments and who works for what department is in your database. You make a dashboard that has a department filter (only show these departments), a managers filter, and employee filter. Not every manager or employee is in multiple departments usually only one. With dependent filters you can say that the manager and employee filter are dependent on what is selected in the departments filter so when you go to filter them they only show the managers or employees that are part of that department, and you can even it do so employees are not only dependent on department but on manager as well. Then it gets even better as it can be done in reverse as well so when you select a manager then go to the department it only shows the departments he works for (there are better situations where this is more useful).
It is scriptable! From calculate columns, null replacements, button actions, load actions, hover over events there a way to do what you want.
They are constantly improving and listens to your suggestions.
collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
Not too many cons for how we use the application. It really is easy and powerful. Very powerful.
Licensing is one thing that could be looked into. It is simple, but a little confusing. For example, if I get a license today, but a new release comes out tomorrow, it seems that the license doesn't work with the new release. Maybe that is by design, but it would be nice to clearly understand.
It's super easy to use for newbies and super powerful for power users! It does EVERYTHING you are usually asked to do analytically. Their Help Desk is PHENOMENAL. And I find the upgrade and renewal price to be a good deal.
SPSS is beginner friendly and user-friendly for beginner analysts and simple statistical tests. It's "click and go" interface does take some learning, but overall this is much easier than other programs I have used and seen. Compared to SAS software, SPSS takes a great deal less familiarizing and it not a matter of learning a coding language like SAS and RStudio.
We are still in the implementation phase, but so far we are finding it to be easy to use and learn. The eLearning courses that they have made available for free, as well as User Forums and other training videos have made even difficult concepts easier to understand.
I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
We have bi-weekly calls with our Success Manager, as well as access to support as needed. Any question that I have had, multiple people have been willing and able to jump on a call to talk me through it, or send an email with the solution
Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
We have tested Tableau prior to Dundas BI and though Tableau is a great package in itself, Dundas BI is much more cost-effective for our needs and requirements and hence zeroed in on Dundas BI. We have also tried microstrategy but it has a very dated UI and doesn't suit our needs in today's more modern world
I found SPSS easier to use than SAS as it's more intuitive to me.
The learning curve to use SPSS is less compared to SAS.
I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.