Compare Pitney Bowes Portrait vs. SAS Enterprise Miner

Pitney Bowes Portrait is ranked 10th in Data Mining while SAS Enterprise Miner is ranked 7th in Data Mining. Pitney Bowes Portrait is rated 0, while SAS Enterprise Miner is rated 0. On the other hand, Pitney Bowes Portrait is most compared with Microsoft Dynamics CRM and Salesforce Sales Cloud, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME.
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Ranking
10th
out of 16 in Data Mining
Views
355
Comparisons
259
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
7th
out of 16 in Data Mining
Views
4,952
Comparisons
3,755
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: October 2019.
372,622 professionals have used our research since 2012.
Top Comparisons
Compared 11% of the time.
Compared 9% of the time.
Also Known As
Enterprise Miner
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Pitney Bowes
SAS
Overview
Pitney Bowes Portrait is a specialized platform that empowers your organization to develop and execute the provisioning and fulfillment processes that result from marketing and CRM activity. Now, you can automate, extend and evolve your existing environment for newfound levels of closed loop automation and efficiency Ð all in just a fraction of the time and effort of other CRM systems.SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
Offer
Learn more about Pitney Bowes Portrait
Learn more about SAS Enterprise Miner
Sample Customers
NationwideGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: October 2019.
372,622 professionals have used our research since 2012.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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