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
Lattice Engines (discontinued)
Score 2.0 out of 10
N/A
D&B Lattice (formerly Lattice Engines) was a Predictive Lead Scoring solution that blended the contact profile and behavioral information from Marketing Automation systems with additional attributes that could contain hidden buying signals. The product has been discontinued.
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
Lattice has been difficult to work with in the past few months. We've struggled internally to try and improve their models, but it hasn't proven itself to offer substantial value. We're able to suppress low quality leads, but Lattice also promotes some questionable leads at times and also grades high potential leads as low scoring. We've tried time and time again to improve the model, but they haven't offered much in terms of help or partnership.
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.
Ease of use. It is a no brainer for our sales teams. They go through just 10 minutes of training. It is very prescriptive and clear. There is a minimal amount of flipping to get through what they need to. Everything is just on one screen.
Integration to Salesforce.com. The level of integration today is moderate. It integrates opportunity to opportunity. As soon as a sales person converts, it flows.
They are highly responsive as a vendor. If there’s a field that we want to add, they will adapt the product for us very quickly.
The model for professional services (fee based) is very flexible. It’s as much as you need. They advocate high service level for ramping new regions, and are very flexible with feet on the ground and helping out.
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.
Detailed technographic information - we had a lot of issues with Lattice not being able to identify specific technologies being used by a company, which would be able to provide us materially different context as a seller.
Model is built once and is static until refreshed - do not get meaningful feedback into the model in real-time
Hard to identify which attributes are meaningful enough to include as enrichment in SFDC.
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
I will continue to use PRISM, especially now, because I after 3 years in the same geography, I have just transferred to a new territory. The tool really helps me focus on the best opportunities to pursue, which can sometimes be difficult with over 100 assigned accounts
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.
The product is part of a service. The team from Lattice did a great job of supporting us and of delivering the results we set out to attain. They became an integral part of our success.
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
Please see my answers to the previous question. We had very good feedback from our product management, strategy and sales leadership and reps regarding our training.
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.
The implementation hit the milestones we established. Lattice was VERY committed to helping us make sure what we committed back to the organization was met.
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.
Lattice was an incumbent tool from several years ago. Early on, we enjoyed a good relationship with the team there. After the acquisition, we have definitely seen a decrease in the quality of support and engagement from the team. As a result, we will look at several competing vendors when our contract ends with Lattice.
We have seen quantifiable ROI when our reps have used the product to target accounts. In a recent example we found that accounts that targeted these "hi-po" accounts identified by using Lattice analytics created over $27M in pipeline over a month long period for a key product we are interested in selling more of to customers, compared to a less than $1M for accounts that were not identified as "hi-po".
