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).
$99
per month
Logi Info (Logi Analytics Platform)
Score 5.5 out of 10
Mid-Size Companies (51-1,000 employees)
Logi Info (or the Logi Analytics Platform) is a developer-grade analytics platform designed for application teams needing to rapidly build, deploy, and maintain mission-critical applications. Logi serves the embedded model, so companies increase the
likelihood of building valuable, long lasting applications. The vendor focuses on enriching embedded analytics
capabilities so that their customers' applications become more valuable, faster. According to the vendor, Logi allows customers to…
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Pricing
IBM SPSS Statistics
Logi Info (Logi Analytics Platform)
Editions & Modules
Subscription
$99.00
per month
Base
$3,610
one-time fee per user
Standard
$7,960
one-time fee per user
Professional
$15,900
one-time fee per user
Premium
$23,800
one-time fee per user
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Offerings
Pricing Offerings
IBM SPSS Statistics
Logi Info (Logi Analytics Platform)
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Logi's pricing was developed with software vendors in mind and as such, we offer flexible, custom pricing aligned with your go-to-market approach and long-term growth plans. Our pricing objective is to ensure our partners can rapidly scale their analytics.
SPSS is well-suited for the following: 1) User Behavior Analysis: SPSS handles large datasets to analyze user behavior data. 2) Customer Satisfaction / Foundational Surveys: SPSS facilitates analysis of quant data from satisfaction surveys, keeping us informed about customer needs and preferences. 3) A/B test analysis: SPSS statistical tools for A/B test analysis, which helps optimize user experience of our products. Scenarios where SPSS are less appropriate: 1) Qualitative Data Analysis: I do not use SPSS for open-ended survey responses/qual data. 2) Live/in-vivo data analysis: SPSS is not ideal for real-time data processing. 3) Complex Data Integration: SPSS isn’t the best fit for complex data integration tasks
Well Suited - It's very easy for a non-developer to make clear/easily understood important data displays Great options for displaying data, UI provides great assistance helping you determine what chart, graph etc., to utilize for peak output. Saves tons of developer hours by allowing non-developers to be able to create and design things. Less Suited - It's not a big fan of displaying 1000 page PDFs but with adequate setup and drill downs, you can turn that huge PDF into 2 pages of what you actually need.
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.
The ability to easily integrate data across multiple data platforms
The product is easy to implement and learn
The elemental design allows for recycling of concepts and features across various reports and output
The security was easy to implement into our existing environment
The number of options available for data manipulation and presentation, including Scheduling and Caching data, makes it easy to solve any problem or create content for any request
Logi's Support Portal staff are absolutely top notch. They are responsive and knowledgeable. Due to the elemental design (see above), it is easy to communicate concepts to and from Logi Support via code samples and/or sample applications. The sample applications which we have received from Logi Support have formed some of the core concepts of our Logi Developer training!
It would be beneficial to have AMOS as part of the SPSS package instead of purchasing it separately.
It would be beneficial to have other statistical tests, such as PROCESS, be part of the standard SPSS tests instead of having the need to run a syntax to have it installed.
My dataset tends to be smaller, and I have never had any issues with using SPSS. I heard that SPSS may not be optimal when handling large datasets.
Logi Studio is currently only available on Windows. I understand the backend is ASP.net but it would be nice to have more flexibility in this given their software can also be java-based (we run their software on a Linux server using java).
Logi Info keeps all files as XML, which is fine and actually helps in terms of scripting report creation. The issue is that the majority of settings can only live on a server instead of a database. They do allow reports to now live in a database, but other aspects (such as users saving bookmarks and reports) cannot be and are all saved directly on the server.
Both money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data entry and data analysis for my research. Output from SPSS is very easy to interpret for data analysis and findings
Logi Analytics is a great solution if you need just the user interface. However there are other tools stronger at the overall data flow which include a user interface as part of their product.
Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
I am giving 9 rating because the Logi Info still needs to improve on the tutorials part and make it easy for the beginners. Otherwise, it's a very good analytics tool which offers more than 20 types of visualization. It's predictive analysis feature and easy to embed with technologies make it stand out in the market.
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
The support process is bit slow and has a good scope improvement but overall it's good as team is very supportive. They generally take 1-2 days time to respond emails sent to them but some times a delay is also expected. Overall, I did not face any major issues using the service.
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.
I have used R when I didn't have access to SPSS. It takes me longer because I'm terrible at syntax but it is powerful and it can be enjoyable to only have to wrestle with syntax and not a difficult UI.
It can be embedded on top of a website for direct analysis. I feel this is a way faster and a better solution. This is like an integrated solution. That's why the firm selected Logi Analytics for quick insights on customer behavior and data.
Our Chief Operations Officer has commented several times about how important LOGI has been in identifying opportunities for us to work on, and key areas to focus on to improve revenue generation
We have used LOGI to automate work processes that used to be paper-based.
We've filled in holes in work processes, and freed up work hours allowing people to focus on more important daily tasks.
