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Metromile VS IBM SPSS Statistics

Compare Metromile VS IBM SPSS Statistics and see what are their differences

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Metromile logo Metromile

Making every car a smart car

IBM SPSS Statistics logo IBM SPSS Statistics

IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
  • Metromile Landing page
    Landing page //
    2023-02-14
  • IBM SPSS Statistics Landing page
    Landing page //
    2023-09-16

Metromile videos

+ Add

MetroMile Pay Per Mile Car Insurance Review

More videos:

  • Review - Metromile Insurance Review 2022 | Best Insurance Companies 2022
  • Review - Metromile Pay Per Mile Car Insurance Review 2021: Pulse Tracking Device Issues, Claims Review & More

IBM SPSS Statistics videos

+ Add

IBM SPSS Statistics Overview

More videos:

  • Review - What's new in IBM SPSS Statistics 26

Category Popularity

0-100% (relative to Metromile and IBM SPSS Statistics)

Metromile

IBM SPSS Statistics

Insurance
100 100%
Insurance
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Car Insurance
100 100%
Car Insurance
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Metromile and IBM SPSS Statistics. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Metromile and IBM SPSS Statistics

Metromile Reviews

We have no reviews of Metromile yet.
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IBM SPSS Statistics Reviews

Top 7 Predictive Analytics Tools
IBM SPSS Statistics is a popular predictive analytics tool. It offers a user-friendly interface and a strong set of features including the SPSS modeler, which provides advanced statistical procedures, helps ensure precision, and provides positive decision-making. All of the analytics lifecycle features are included, such as data preparation and management to analysis and...
Source: www.datamation.com
Top 10 Free Statistical Analysis Software 2023
IBM SPSS Statistics is a popular statistical software package that is widely used in academia, research, and industry for data analysis, reporting, and visualization. Some of the key features of IBM SPSS Statistics include:
Source: fellowshipbard.com

Social recommendations and mentions

Based on our record, Metromile seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Metromile mentions (1)

  • Ask HN: Who is hiring? (July 2021)
    Metromile | SF, Boston, Remote | Full time | https://metromile.com Looking for Senior Backend engineers to join the team as we expand to new states. Recently went public in February, Hybrid and Remote work options available. Email mberber at metromile .com. - Source: Hacker News / almost 3 years ago

IBM SPSS Statistics mentions (0)

We have not tracked any mentions of IBM SPSS Statistics yet. Tracking of IBM SPSS Statistics recommendations started around Mar 2021.

What are some alternatives?

When comparing Metromile and IBM SPSS Statistics, you can also consider the following products

Clearcover - Clearcover is smarter car insurance. Get better coverage and spend less each month.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Insurance Panda - Use Insurance Panda to save on your auto insurance rates. Compare car insurance quotes today using our free quote comparison tool.

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

Root Insurance - You could save hundreds on your car insurance. Simple pricing. Fair rates. All in an app.

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.

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