SAS Enterprise Miner vs. TIBCO Statistica

SAS Enterprise Miner is ranked 6th in Data Science Platforms with 1 review vs TIBCO Statistica which is ranked 16th in Data Science Platforms. The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and Microsoft Azure Machine Learning Studio. TIBCO Statistica is most compared with Alteryx, KNIME and RapidMiner.
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Quotes From Members Comparing SAS Enterprise Miner vs. TIBCO Statistica

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Ranking
Views
7,148
Comparisons
4,051
Reviews
1
Followers
261
Avg. Rating
7.0
Views
671
Comparisons
432
Reviews
0
Followers
100
Avg. Rating
N/A
Unranked
In Data Science Platforms
Top Comparisons
Compared 14% of the time.
See more SAS Enterprise Miner competitors »
Compared 16% of the time.
Compared 14% of the time.
Compared 9% of the time.
See more TIBCO Statistica competitors »
Compared 29% of the time.
Also Known As
Enterprise MinerQuest Statistica, Dell Statistica
Learn how it works
SAS
TIBCO
Null Vendor
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Overview
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.TIBCO Statistica is a flexible analytics system, which allows users to: create analytic workflows that are packaged and published to business users, explore interactively and visualize problems and create and deploy statistical, predictive, data mining, machine learning, forecasting, optimization, and text analytic models. TIBCO Statistica advanced analytics and data science platform helps you to Embed Analytics Everywhere. TIBCO Statistica capabilities: Predictive Analytics, Provide broad access and data preparation everywhere, including for databases, cloud, and Apache Hadoop sources. Native Distributed Analytical Architecture (NDAA), Real-time Big-data Answers, Security and governance and Statistica works with R, Python, Scala scripts in-database or at the edge.
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Sample Customers
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, InvacareDanske Bank
Information Not Available
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
30%
University
11%
Non Tech Company
11%
Insurance Company
7%
No Data Available
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business
19%
Midsize Enterprise
25%
Large Enterprise
56%
No Data Available
No Data Available
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