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
Agentforce Sales
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Salesforce' Agentforce Sales (formerly Salesforce Sales Cloud) is the company's flagship CRM platform. The AI CRM for Sales features data built right in.
I have used SAS. I started my career using it after being formally taught in graduate school back in 2010. I switched to SPSS when a new employer requested that I learn it. I will say it wasn't hard to go from SAS to SPSS because I already had the knowledge of statistical …
The previous product we used was pathetic. It was collaborative and could work as web based so could be used anyw. However, its reporting functionality was rudimentary at best. It was often difficult to get reports even on the simplest of metrics. There were no analytics so any …
SPSS's ability to deal with things like survey verbatims is a significant competitive disadvantage. The ability to do most of what researchers do without having to learn to program (think R or Python) is the primary advantage SPSS brings to bear.
Obviously, for any business, there are two main areas to focus on — the sales path and the service path. Sales Cloud wouldn’t be suited for a company that’s primarily into support services. For those kinds of companies, Salesforce has a different product — Service Cloud. So, for anyone in the support or service space, Sales Cloud isn’t the right fit.
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 customizations - We have an organization that operates differently from most companies, so we’ve had to implement quite a few customizations — and Salesforce allows us to do that quite quickly. Most of the time, delays come from dependencies on other internal parties rather than the system itself.
From my perspective as a consultant, one of the biggest advantages is that everything is in Salesforce — all the details, all in one place. The ability to customize it easily is a big plus; there’s really a lot you can do with it.
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.
We still need to include the production part. We started using Salesforce to sell the seeds — our inventory is in SAP — and from there we handle sales and track the process of planting, harvesting, selling, and then collecting payments. But we don’t yet manage the earlier production processes, like production planning. We handle allocation, but not full production planning, and that’s an area where we still have room for improvement.
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
There are days when I wish we hadn't switched, but I know that if we put in the time, we will get to where we want to be with the software and that it has many more capabilities than anything else we looked at. However, the amount of time and onboarding we need to do is also far greater than we realized/were told when we originally bought the product. They told us we should hire onboarding support, but at the end, after we had already reached our budget maximum for this, so it's been slower than we had hoped.
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.
Because I think it could be easier. We have different standards today since we’re used to interacting with consumer apps like Starbucks, where all you do is scan your card. Then, when you use Sales Cloud, there are still a lot of manual inputs. So my mission with AI is really about figuring out how to make that easier.
Salesforce is always available securely from any internet-capable device anywhere in the world, UNLESS you choose to set security measures so that ONLY trusted IP ranges may access the system at certain times of the day. It's all about choice and flexibility with Salesforce products.
Salesforce performance in general is excellent. "The cloud infrastructure beneath Force.com has been fine-tuned over the past 10 years. It powers nearly 100,000+ businesses running more than 185,000 applications that 3 million users count on every day." Points per Salesforce - 1) Multitenant kernel - With a multitenant platform, each business that uses the app doesn’t have its own copy. Instead, all businesses share a single copy and then customize it for their specific needs. 2) ISO 27001 certified security - You can’t compromise when it comes to enterprise-level security. Force.com is road-tested and trusted by nearly 100,000+ companies, including many of the world’s most security-conscious organizations, such as banks and health care providers. 3) Proven reliability - All Force.com apps run on world-class data centers with backup, failover, and disaster-recovery facilities. Force.com has had a proven 99.9 percent uptime record for years. 4) Proven, real-time scalability - Force.com is used by many of the world's largest enterprises, including Cisco, Japan Post Network, and Symantec. Applications can automatically scale from a few users to millions of page views, as needed. 5) Real-time query optimizer - You need fast access to your data. The Force.com query optimizer delivers under 300ms response time, at a massive scale. 6) Real-time transparent system status - You can always see real-time system performance, availability, and security information at trust.salesforce.com. 7) Real-time upgrades - Unlike traditional software platforms, our upgrades never break your customizations, code, or integrations. We upgrade the platform for you 3 to 4 times each year. As a result, you’re always on the latest version, with access to the latest features, performance, and security enhancements. 8) Real-time sandbox environments - With a single click, you can create copies of your applications, configuration, and data in separate environments for development, testing, and training. 9) Three global production data centers and disaster recovery - Force.com runs on three geographically dispersed, mirrored data centers with built-in replication, disaster recovery, a redundant network backbone, and no single points of failure
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 overall support has been good. More and more features are being released quite frequently. Very small features are also making big difference in how the tool can be adapted and used better. If there is anything we need or are stuck, the support team sets up a call and helps in resolving the issue/provides workarounds.
I attended two training sessions. I would rate them a 4 as an advanced user. It was very basic – great for someone new – would give 8+ for new person.
I had 3 years of experience at the time. I skipped basic and went onto advanced and still not helpful. A lot of it was best practices that didn’t feel relevant for our business
I have gone through multiple. The content that’s delivered is quite basic – I wish they had more advanced training.
We are grandfathered into premium support plus training. We get unlimited access to instructor led and online training for free. We have taken advantage of this
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.
Just from an organizational standpoint - we standardized our data prior to moving to Salesforce. But we essentially standardized it wrong. That's created a big disgusting mess for us know that I'll have to deal with as the Admin. Be sure you think through use cases prior to doing something like that - seek outside opinions on how the data will work best, especially depending on what else you're going to integrate with Salesforce.
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 years ago and has shown no desire to improve.
So I've evaluated, implemented Microsoft Dynamics in the past. I've used Oracle CRM solutions. I've used Daylight, which is a very niche CRM system the last couple of years. And I've evaluated a variety from Legacy Microsoft Ones to Zoho and Sugar when making implementation decisions at other companies. But usually I've gone with Salesforce. I'd say it's better than most. The only one that I generally prefer, and last time I chose an implementation from scratch, I did Microsoft Dynamics. And the reason is for small mid-size organization, Microsoft Dynamics, if you already have Microsoft Office products, it's much better integrated to all of the Excel, Word, OneNote, Outlook email than what you get from Salesforce. And so that's the only one that if someone's a Microsoft organization and small sized company, it'll save a lot of integration things, a lot of security, a lot of login and access and IT management by just sticking within the Microsoft ecosystem. But outside of that, if you don't use Microsoft or if you're a large organization or have other needs that you want, Salesforce I'd say is better than all of the other CRM offerings out there. It's the easiest to use and the most robust and the most vendors and products for the ecosystem.
Salesforce is the most widely used CRM system. Professionalism tends to increase when things go wrong for market leaders. Salesforce considers us as users because they own the market. Having all of our data in one place and all of our teams working within Salesforce. Anyone who uses Salesforce is impacted by it, even if they don't.
IBM Cognos Analytics may have been designed to scale up to a very large number of users however we are a small business with small number of users and the program worked equally well for us. We would highly recommend the product for any business no matter the size, small to large.
It's very scalable as it has a ton of features (but you do need an admin who understands how to leverage these features). Because of the various features, we've also needed to host onboarding sessions with our users so that they can familiarize themselves with the platform, which isn't always super user-friendly or intuitive.
Using Salesforce.com has made my daily routines more efficient and simplified the manual tasks I had to perform independently. I can now access data from any device, online or offline, and provide better guidance to my team about the forecasts provided by the built-in artificial intelligence (AI). A chat with a Salesforce support specialist would be great. The knowledge base has a community forum where Salesforce users can ask questions and learn more about the product.
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.
It allows me to keep a close eye on all of my performance metrics through the Dashboard Reporting, ie what my sales pipeline looks like, how much it's changed in the last 60 days, new opportunities created in the last 7 days, # of emails sent for the week, etc. The ease of the design and output make it really easy to check my progress throughout the day to find where I have holes and am falling short on my personal and work goals. It's resulted in greater transparency with my Mgmt Team and shorter 1-on-1 mtgs with my boss as he can see exactly where I am at all times (to be fair, I'm a senior sales rep, so he pretty much lets me do my job completely unfettered), but it does prove that I am continually producing which recently resulted in a raise I didn't even ask for.
The SF repository is so detailed that I don't have to spend tons of time finding frequently used websites attached to a client or see what all interactions with the company look like. Even though I don't use SF for my bulk emails and email sequences, SF provides me with an email to use in the bcc of these emails which links everything back to SF. I find that extremely helpful. This really impacts my efficiency and I can honestly say that once I started using all the functionality of data management, it saved me about 20% of my time/week that I could then allocate towards other revenue-generating tasks like prospecting and account management. The more time I have for those, the better. My year-over-year on accounts 1 year and older just grew by 17% this last year.
