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Investor List VS SAS Advanced Analytics

Compare Investor List VS SAS Advanced Analytics and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Investor List logo Investor List

A searchable, crowdsourced list of over 1k investors

SAS Advanced Analytics logo SAS Advanced Analytics

SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.
  • Investor List Landing page
    Landing page //
    2019-01-19
  • SAS Advanced Analytics Landing page
    Landing page //
    2023-02-05

Category Popularity

0-100% (relative to Investor List and SAS Advanced Analytics)

Investor List

SAS Advanced Analytics

SaaS
100 100%
SaaS
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Venture Capital
100 100%
Venture Capital
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Investor List and SAS Advanced Analytics

Investor List Reviews

We have no reviews of Investor List yet.
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SAS Advanced Analytics Reviews

Top 7 Predictive Analytics Tools
SAS Advanced Analytics does not have pricing on their website. They have contact sheets in case a company needs to request demos, free trials, and price quotes.
Source: www.datamation.com

What are some alternatives?

When comparing Investor List and SAS Advanced Analytics, you can also consider the following products

Investor Scout - A database of 45k+ investors to raise your seed round 💰

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Investor Hunt - Investor Hunt is the internet’s largest investor database with 40k+ angels and VCs from all over the world.

Board - Unified BI, CPM and predictive analytics software.

Foundersuite - Tools to get startup sh*t done!

SAP BusinessObjects Predictive Analytics - SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.

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