#IBM SPSS STATISTICS REVIEWS SOFTWARE#

I can't assume that SPSS as a front-end tool can assess that much volume of data.

#IBM SPSS STATISTICS REVIEWS SOFTWARE#

SAS analytical software has a server called Laser Server, an ASR server, which is capable of handling around 120 terabytes of data at a time. There's only one factor, how much volume of data it can analyze at any point of time. It doesn't have a SPSS package to measure the scalability. The IBM package is just a normal package. The business package can be measured only with the amount of data it can analyze.īecause if I talk about the Oracle database or the RNC database, the measure of scalability depends on the number of notes I can add to the RSE cluster, how much data will my database be able to handle, and what kind of hardware requirements I need. There is a scalability fee for this kind of package. you have all the things, but if anything, any theory or formula is missing, I would suggest to SPSS to include that also and market it accordingly so that they can be a front runner in this market, in this segment. I expect that SPSS encapsulates all those formulas, it has a good amount of descriptors, chi-square distribution, ANOVA, etc. All the statistical tools and formulae which are taught. I don't have all the formulas off the top of my head right now, but for any statistical tool for that matter, regardless of the company, it should encapsulate these to the maximum. There are so many formulas which you can encapsulate in this IBM statistical tool.

The bottom line is it should have more graphical and analytical capabilities. You can call it augmented analysis or predictive analysis. I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. That graphical GUI content should be encapsulated in the SPSS package.

Having said that, if they could make it a little bit graphical then people who work on IBM SPSS need not depend on other software, like SAP Lumira or something like that, for the regeneration and graphical image of the entire data. I understand that we're talking about IBM SPSS Statistics, it's a mathematical tool. Then simultaneously, we give this feedback to the pharma companies, so that depending on the data, they determine which medicine they have and what medicine they could develop. Depending on the data we draw a graph and we give a statistical analysis to the doctors, as well. If a patient comes to the doctors with a little bit of mental depression because of the work pressure or anything else, we collect this data, put up a questionnaire to him about his personality traits, why he's feeling depressed, what are the factors affecting his mental attitude and those kinds of questions and we collect that kind of data. You have a cross-section of the community. For example, there could be a neuro-disorder patient or a normal IT employee who may be an introvert, confined to his own space and doesn't want to mingle with people or more inclined towards reading books and stuff like that. I use these more often because in pharma companies and clinical hospitals they make the medicines by taking the feedback from different patients. The features that I have found most valuable are the Bayesian statistics and descriptive statistics. And there are a lot of features that SAS Visual Analytics has that IBM SPSS doesn't have. So I have to do a liaison with all these other software to fetch the data and present it to the client in whichever format they prefer because there are some features which IBM SPSS statistics has which SAS doesn't have. For example, Visual Analytics, SAP Discovery, and solutions like that. All these companies that I work with also have software other than IBM SPSS.

The customer gets the results in whatever format they want. These companies provide the data and I give them the results.

I do the clinical analysis of their data. And also logistic companies, like Maersk and Blue Dot. Clinical companies, pharma companies, like Cipla, Biocon, etc. I'm an independent consultant and my clients have lots of clinical level laboratories. I would say 70% of our work is on Statistics and 30% is on the Modeler. We use IBM SPSS Statistics as well as the Modeler.

Ibm spss statistics reviews