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Best Enterprise Predictive Analytics Software

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Predictive Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Predictive Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Predictive Analytics category.

In addition to qualifying for inclusion in the Predictive Analytics Software category, to qualify for inclusion in the Enterprise Business Predictive Analytics Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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27 Listings in Enterprise Predictive Analytics Software Available

(1,090)4.5 out of 5
3rd Easiest To Use in Predictive Analytics software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    344
    Speed
    191
    Fast Querying
    171
    Querying
    162
    Performance
    160
    Cons
    Expensive
    153
    Query Issues
    139
    Learning Curve
    109
    Cost Issues
    86
    Cost Management
    84
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    7.8
    AI Text Summarization
    Average: 8.3
    8.9
    Algorithms
    Average: 8.4
    7.9
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Enterprise
  • 33% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
344
Speed
191
Fast Querying
171
Querying
162
Performance
160
Cons
Expensive
153
Query Issues
139
Learning Curve
109
Cost Issues
86
Cost Management
84
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
7.8
AI Text Summarization
Average: 8.3
8.9
Algorithms
Average: 8.4
7.9
AI Text Generation
Average: 8.2
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(2,200)4.4 out of 5
2nd Easiest To Use in Predictive Analytics software
View top Consulting Services for Tableau
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Entry Level Price:$15.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tableau is the world’s leading AI-powered analytics platform. Offering a suite of analytics and business intelligence tools, Tableau turns trusted data into actionable insights so you can make better

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 34% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Tableau is a data visualization tool that allows users to create interactive dashboards and reports by connecting to various data sources.
    • Users like Tableau's user-friendly interface, its ability to handle large datasets, and the variety of chart options available, including the ability to create customized charts.
    • Users experienced performance issues with large datasets, found the learning curve for advanced features steep, and expressed concerns about the high cost of licenses.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tableau Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    420
    Data Visualization
    377
    Visualization
    305
    Visualizations
    211
    Intuitive
    191
    Cons
    Expensive
    127
    Learning Curve
    118
    Learning Difficulty
    93
    Data Management
    86
    Slow Performance
    83
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tableau features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.0
    8.2
    AI Text Summarization
    Average: 8.3
    8.5
    Algorithms
    Average: 8.4
    8.2
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @salesforce
    584,242 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78,543 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tableau is the world’s leading AI-powered analytics platform. Offering a suite of analytics and business intelligence tools, Tableau turns trusted data into actionable insights so you can make better

Users
  • Data Analyst
  • Business Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 34% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Tableau is a data visualization tool that allows users to create interactive dashboards and reports by connecting to various data sources.
  • Users like Tableau's user-friendly interface, its ability to handle large datasets, and the variety of chart options available, including the ability to create customized charts.
  • Users experienced performance issues with large datasets, found the learning curve for advanced features steep, and expressed concerns about the high cost of licenses.
Tableau Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
420
Data Visualization
377
Visualization
305
Visualizations
211
Intuitive
191
Cons
Expensive
127
Learning Curve
118
Learning Difficulty
93
Data Management
86
Slow Performance
83
Tableau features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.0
8.2
AI Text Summarization
Average: 8.3
8.5
Algorithms
Average: 8.4
8.2
AI Text Generation
Average: 8.2
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@salesforce
584,242 Twitter followers
LinkedIn® Page
www.linkedin.com
78,543 employees on LinkedIn®

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(552)4.3 out of 5
5th Easiest To Use in Predictive Analytics software
View top Consulting Services for Amazon QuickSight
Save to My Lists
Entry Level Price:$3.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern int

    Users
    • Data Analyst
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Small-Business
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Amazon QuickSight is a cloud-based business intelligence tool that integrates with AWS services and external systems for data visualization and analysis.
    • Users frequently mention the ease of use, seamless integration with AWS services, cost-effectiveness, and the ability to handle large datasets efficiently.
    • Users mentioned limitations in data modeling, challenges with extremely large datasets, limited customization options, and complex pricing and licensing models.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon QuickSight Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    215
    Data Visualization
    136
    Integrations
    108
    Easy Integrations
    88
    User Interface
    78
    Cons
    Limited Customization
    74
    Limited Features
    60
    Learning Curve
    50
    Limited Visualization
    42
    Missing Features
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon QuickSight features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    AI Text Summarization
    Average: 8.3
    8.2
    Algorithms
    Average: 8.4
    8.4
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern int

Users
  • Data Analyst
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Small-Business
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Amazon QuickSight is a cloud-based business intelligence tool that integrates with AWS services and external systems for data visualization and analysis.
  • Users frequently mention the ease of use, seamless integration with AWS services, cost-effectiveness, and the ability to handle large datasets efficiently.
  • Users mentioned limitations in data modeling, challenges with extremely large datasets, limited customization options, and complex pricing and licensing models.
Amazon QuickSight Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
215
Data Visualization
136
Integrations
108
Easy Integrations
88
User Interface
78
Cons
Limited Customization
74
Limited Features
60
Learning Curve
50
Limited Visualization
42
Missing Features
39
Amazon QuickSight features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.3
AI Text Summarization
Average: 8.3
8.2
Algorithms
Average: 8.4
8.4
AI Text Generation
Average: 8.2
Seller Details
Company Website
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
(625)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Predictive Analytics software
View top Consulting Services for Alteryx
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 64% Enterprise
    • 22% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    146
    Intuitive
    55
    Automation
    53
    Easy Learning
    46
    Ease of Learning
    43
    Cons
    Learning Curve
    40
    Expensive
    34
    Learning Difficulty
    25
    Complexity
    19
    Missing Features
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    7.7
    AI Text Summarization
    Average: 8.3
    8.4
    Algorithms
    Average: 8.4
    7.6
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,732 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,287 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 64% Enterprise
  • 22% Mid-Market
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
146
Intuitive
55
Automation
53
Easy Learning
46
Ease of Learning
43
Cons
Learning Curve
40
Expensive
34
Learning Difficulty
25
Complexity
19
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
7.7
AI Text Summarization
Average: 8.3
8.4
Algorithms
Average: 8.4
7.6
AI Text Generation
Average: 8.2
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,732 Twitter followers
LinkedIn® Page
www.linkedin.com
2,287 employees on LinkedIn®
By IBM
(399)4.0 out of 5
Optimized for quick response
View top Consulting Services for IBM Cognos Analytics
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Insurance
    Market Segment
    • 62% Enterprise
    • 24% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • IBM Cognos Analytics is a comprehensive suite of tools for reporting, data visualization, and dashboard creation that integrates with various data sources and offers AI-assisted recommendations for visualizations.
    • Reviewers frequently mention the ease of use, the ability to handle unstructured data, the flexibility to use data, the quick and easy report development, and the excellent customer support.
    • Reviewers mentioned performance issues while handling large datasets, a steep learning curve for new users, a lack of customization options for visualizations, and a less interactive interface compared to other tools.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cognos Analytics Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    34
    Data Visualization
    18
    User Interface
    18
    Analytics
    11
    Integrations
    11
    Cons
    Learning Curve
    12
    Slow Performance
    10
    Learning Difficulty
    6
    Complexity
    5
    Performance Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cognos Analytics features and usability ratings that predict user satisfaction
    7.7
    Has the product been a good partner in doing business?
    Average: 9.0
    7.9
    AI Text Summarization
    Average: 8.3
    9.0
    Algorithms
    Average: 8.4
    7.9
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Insurance
Market Segment
  • 62% Enterprise
  • 24% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • IBM Cognos Analytics is a comprehensive suite of tools for reporting, data visualization, and dashboard creation that integrates with various data sources and offers AI-assisted recommendations for visualizations.
  • Reviewers frequently mention the ease of use, the ability to handle unstructured data, the flexibility to use data, the quick and easy report development, and the excellent customer support.
  • Reviewers mentioned performance issues while handling large datasets, a steep learning curve for new users, a lack of customization options for visualizations, and a less interactive interface compared to other tools.
IBM Cognos Analytics Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
34
Data Visualization
18
User Interface
18
Analytics
11
Integrations
11
Cons
Learning Curve
12
Slow Performance
10
Learning Difficulty
6
Complexity
5
Performance Issues
5
IBM Cognos Analytics features and usability ratings that predict user satisfaction
7.7
Has the product been a good partner in doing business?
Average: 9.0
7.9
AI Text Summarization
Average: 8.3
9.0
Algorithms
Average: 8.4
7.9
AI Text Generation
Average: 8.2
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
(159)4.6 out of 5
8th Easiest To Use in Predictive Analytics software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TrendMiner is a fast, powerful and intuitive advanced industrial analytics platform designed for real-time monitoring and troubleshooting of industrial processes. It provides robust data collection, a

    Users
    • Process Analytics Engineer
    Industries
    • Chemicals
    • Oil & Energy
    Market Segment
    • 52% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TrendMiner Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    61
    Data Analysis
    37
    Analytics
    21
    User Interface
    21
    Speed
    17
    Cons
    Complex Usability
    21
    Difficult Learning
    16
    Learning Curve
    12
    Expensive
    9
    Learning Difficulty
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TrendMiner features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    7.2
    AI Text Summarization
    Average: 8.3
    7.7
    Algorithms
    Average: 8.4
    7.2
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2008
    HQ Location
    Hasselt, Flemish Region
    Twitter
    @TrendMining
    782 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    97 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TrendMiner is a fast, powerful and intuitive advanced industrial analytics platform designed for real-time monitoring and troubleshooting of industrial processes. It provides robust data collection, a

Users
  • Process Analytics Engineer
Industries
  • Chemicals
  • Oil & Energy
Market Segment
  • 52% Enterprise
  • 35% Mid-Market
TrendMiner Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
61
Data Analysis
37
Analytics
21
User Interface
21
Speed
17
Cons
Complex Usability
21
Difficult Learning
16
Learning Curve
12
Expensive
9
Learning Difficulty
9
TrendMiner features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
7.2
AI Text Summarization
Average: 8.3
7.7
Algorithms
Average: 8.4
7.2
AI Text Generation
Average: 8.2
Seller Details
Company Website
Year Founded
2008
HQ Location
Hasselt, Flemish Region
Twitter
@TrendMining
782 Twitter followers
LinkedIn® Page
www.linkedin.com
97 employees on LinkedIn®
By SAP
(803)4.2 out of 5
View top Consulting Services for SAP Analytics Cloud
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Entry Level Price:$36.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and pl

    Users
    • Senior Consultant
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Analytics Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Data Analysis
    14
    Data Visualization
    14
    Analytics
    9
    Dashboard Usability
    7
    Cons
    Learning Curve
    8
    Complexity
    7
    Slow Loading
    7
    Expensive
    6
    Integration Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Analytics Cloud features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    AI Text Summarization
    Average: 8.3
    8.0
    Algorithms
    Average: 8.4
    8.3
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,846 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and pl

Users
  • Senior Consultant
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 27% Mid-Market
SAP Analytics Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Data Analysis
14
Data Visualization
14
Analytics
9
Dashboard Usability
7
Cons
Learning Curve
8
Complexity
7
Slow Loading
7
Expensive
6
Integration Issues
6
SAP Analytics Cloud features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.3
AI Text Summarization
Average: 8.3
8.0
Algorithms
Average: 8.4
8.3
AI Text Generation
Average: 8.2
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,846 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
(404)4.3 out of 5
14th Easiest To Use in Predictive Analytics software
View top Consulting Services for Salesforce CRM Analytics (formerly Tableau CRM)
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Entry Level Price:$150 per user per month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CRM Analytics is native analytics built for the world's #1 CRM Enterprise-Ready CRM Analytics run's on the world's #1 trusted cloud platform, making it secure and scalable for the world's more demand

    Users
    • Account Manager
    • Sales Manager
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 41% Mid-Market
    • 37% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Salesforce CRM Analytics (formerly Tableau CRM) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    45
    Analytics
    26
    Integrations
    23
    Salesforce Integration
    20
    Easy Integrations
    14
    Cons
    Learning Curve
    13
    Limitations
    9
    Bugs
    8
    Expensive
    6
    Missing Features
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Salesforce CRM Analytics (formerly Tableau CRM) features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    9.1
    AI Text Summarization
    Average: 8.3
    8.8
    Algorithms
    Average: 8.4
    9.1
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @salesforce
    584,242 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78,543 employees on LinkedIn®
    Ownership
    NYSE:CRM
Product Description
How are these determined?Information
This description is provided by the seller.

CRM Analytics is native analytics built for the world's #1 CRM Enterprise-Ready CRM Analytics run's on the world's #1 trusted cloud platform, making it secure and scalable for the world's more demand

Users
  • Account Manager
  • Sales Manager
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 41% Mid-Market
  • 37% Enterprise
Salesforce CRM Analytics (formerly Tableau CRM) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
45
Analytics
26
Integrations
23
Salesforce Integration
20
Easy Integrations
14
Cons
Learning Curve
13
Limitations
9
Bugs
8
Expensive
6
Missing Features
6
Salesforce CRM Analytics (formerly Tableau CRM) features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
9.1
AI Text Summarization
Average: 8.3
8.8
Algorithms
Average: 8.4
9.1
AI Text Generation
Average: 8.2
Seller Details
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@salesforce
584,242 Twitter followers
LinkedIn® Page
www.linkedin.com
78,543 employees on LinkedIn®
Ownership
NYSE:CRM
(181)4.6 out of 5
Optimized for quick response
12th Easiest To Use in Predictive Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive

    Users
    No information available
    Industries
    • Automotive
    • Medical Devices
    Market Segment
    • 51% Enterprise
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Minitab Statistical Software Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    31
    Data Analysis
    23
    Statistical Analysis
    21
    Analysis
    15
    Analysis Capabilities
    13
    Cons
    Expensive
    11
    Learning Curve
    9
    Data Management Issues
    6
    Limited Features
    5
    Complexity
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Minitab Statistical Software features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    7.6
    AI Text Summarization
    Average: 8.3
    8.4
    Algorithms
    Average: 8.4
    7.4
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Minitab
    Company Website
    Year Founded
    1972
    HQ Location
    State College, Pennsylvania, United States
    Twitter
    @Minitab
    5,131 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    581 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive

Users
No information available
Industries
  • Automotive
  • Medical Devices
Market Segment
  • 51% Enterprise
  • 30% Mid-Market
Minitab Statistical Software Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
31
Data Analysis
23
Statistical Analysis
21
Analysis
15
Analysis Capabilities
13
Cons
Expensive
11
Learning Curve
9
Data Management Issues
6
Limited Features
5
Complexity
4
Minitab Statistical Software features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
7.6
AI Text Summarization
Average: 8.3
8.4
Algorithms
Average: 8.4
7.4
AI Text Generation
Average: 8.2
Seller Details
Seller
Minitab
Company Website
Year Founded
1972
HQ Location
State College, Pennsylvania, United States
Twitter
@Minitab
5,131 Twitter followers
LinkedIn® Page
www.linkedin.com
581 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Statistical Programmer
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Enterprise
    • 33% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAS Viya is a data analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
    • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
    • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Viya Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    269
    Features
    167
    Analytics
    136
    Data Analysis
    112
    Performance Efficiency
    108
    Cons
    Learning Curve
    116
    Learning Difficulty
    106
    Complexity
    102
    Difficult Learning
    83
    Expensive
    82
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    AI Text Summarization
    Average: 8.3
    8.6
    Algorithms
    Average: 8.4
    6.3
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Statistical Programmer
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Enterprise
  • 33% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAS Viya is a data analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
  • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
  • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
SAS Viya Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
269
Features
167
Analytics
136
Data Analysis
112
Performance Efficiency
108
Cons
Learning Curve
116
Learning Difficulty
106
Complexity
102
Difficult Learning
83
Expensive
82
SAS Viya features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
6.7
AI Text Summarization
Average: 8.3
8.6
Algorithms
Average: 8.4
6.3
AI Text Generation
Average: 8.2
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
By SAP
(512)4.3 out of 5
9th Easiest To Use in Predictive Analytics software
View top Consulting Services for SAP HANA Cloud
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

    Users
    • SAP Consultant
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 64% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP HANA Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    13
    Analytics
    9
    Features
    9
    Cloud Computing
    8
    Data Analysis
    8
    Cons
    Expensive
    10
    Complexity
    8
    Learning Curve
    7
    Performance Issues
    6
    Complex Implementation
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP HANA Cloud features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    7.2
    AI Text Summarization
    Average: 8.3
    8.9
    Algorithms
    Average: 8.4
    7.2
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,846 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

Users
  • SAP Consultant
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 64% Enterprise
  • 23% Mid-Market
SAP HANA Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
13
Analytics
9
Features
9
Cloud Computing
8
Data Analysis
8
Cons
Expensive
10
Complexity
8
Learning Curve
7
Performance Issues
6
Complex Implementation
5
SAP HANA Cloud features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
7.2
AI Text Summarization
Average: 8.3
8.9
Algorithms
Average: 8.4
7.2
AI Text Generation
Average: 8.2
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,846 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
(56)4.6 out of 5
Optimized for quick response
4th Easiest To Use in Predictive Analytics software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    LeanDNA software enables discrete manufacturing operational teams to predictively balance supply and demand by synchronizing procurement and production to ensure on-time delivery, reduce inventory was

    Users
    No information available
    Industries
    • Manufacturing
    • Aviation & Aerospace
    Market Segment
    • 45% Enterprise
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • LeanDNA Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    31
    Data Visualization
    13
    Helpful
    11
    Customer Support
    10
    Inventory Management
    10
    Cons
    Limited Features
    8
    Complex Usability
    7
    Missing Features
    7
    Syncing Issues
    7
    Limited Options
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LeanDNA features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    7.4
    AI Text Summarization
    Average: 8.3
    7.2
    Algorithms
    Average: 8.4
    6.9
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    LeanDNA
    Company Website
    Year Founded
    2014
    HQ Location
    Austin, Texas, United States
    LinkedIn® Page
    www.linkedin.com
    98 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

LeanDNA software enables discrete manufacturing operational teams to predictively balance supply and demand by synchronizing procurement and production to ensure on-time delivery, reduce inventory was

Users
No information available
Industries
  • Manufacturing
  • Aviation & Aerospace
Market Segment
  • 45% Enterprise
  • 43% Mid-Market
LeanDNA Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
31
Data Visualization
13
Helpful
11
Customer Support
10
Inventory Management
10
Cons
Limited Features
8
Complex Usability
7
Missing Features
7
Syncing Issues
7
Limited Options
5
LeanDNA features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
7.4
AI Text Summarization
Average: 8.3
7.2
Algorithms
Average: 8.4
6.9
AI Text Generation
Average: 8.2
Seller Details
Seller
LeanDNA
Company Website
Year Founded
2014
HQ Location
Austin, Texas, United States
LinkedIn® Page
www.linkedin.com
98 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scie

    Users
    No information available
    Industries
    • Higher Education
    • Education Management
    Market Segment
    • 52% Enterprise
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM SPSS Modeler Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Analysis Capabilities
    2
    Analysis Efficiency
    2
    Coding Ease
    2
    Data Analysis
    2
    Cons
    Lacking Features
    1
    Learning Curve
    1
    Learning Difficulty
    1
    Limited Features
    1
    Limited Visualization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM SPSS Modeler features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    7.3
    AI Text Summarization
    Average: 8.3
    8.0
    Algorithms
    Average: 8.4
    7.3
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scie

Users
No information available
Industries
  • Higher Education
  • Education Management
Market Segment
  • 52% Enterprise
  • 24% Mid-Market
IBM SPSS Modeler Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Analysis Capabilities
2
Analysis Efficiency
2
Coding Ease
2
Data Analysis
2
Cons
Lacking Features
1
Learning Curve
1
Learning Difficulty
1
Limited Features
1
Limited Visualization
1
IBM SPSS Modeler features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
7.3
AI Text Summarization
Average: 8.3
8.0
Algorithms
Average: 8.4
7.3
AI Text Generation
Average: 8.2
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Watson Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    7
    AI Capabilities
    4
    AI Integration
    4
    AI Technology
    4
    Features
    4
    Cons
    Expensive
    2
    Learning Curve
    2
    Limited Language Support
    2
    Limited Userbase
    2
    Poor Customer Support
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Watson Studio features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    AI Text Summarization
    Average: 8.3
    8.2
    Algorithms
    Average: 8.4
    9.3
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 29% Small-Business
IBM Watson Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
7
AI Capabilities
4
AI Integration
4
AI Technology
4
Features
4
Cons
Expensive
2
Learning Curve
2
Limited Language Support
2
Limited Userbase
2
Poor Customer Support
2
IBM Watson Studio features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
8.3
AI Text Summarization
Average: 8.3
8.2
Algorithms
Average: 8.4
9.3
AI Text Generation
Average: 8.2
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
(1,013)4.1 out of 5
10th Easiest To Use in Predictive Analytics software
View top Consulting Services for Adobe Analytics
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From di

    Users
    • Data Analyst
    • Analyst
    Industries
    • Marketing and Advertising
    • Information Technology and Services
    Market Segment
    • 41% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Adobe Analytics Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Insights
    46
    Analytics
    36
    Ease of Use
    30
    Features
    26
    Data Analysis
    23
    Cons
    Expensive
    24
    Learning Curve
    16
    Steep Learning Curve
    12
    Learning Difficulty
    10
    Complexity
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Adobe Analytics features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.6
    AI Text Summarization
    Average: 8.3
    8.6
    Algorithms
    Average: 8.4
    8.1
    AI Text Generation
    Average: 8.2
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Adobe
    Company Website
    Year Founded
    1982
    HQ Location
    San Jose, CA
    Twitter
    @Adobe
    973,290 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    42,285 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From di

Users
  • Data Analyst
  • Analyst
Industries
  • Marketing and Advertising
  • Information Technology and Services
Market Segment
  • 41% Enterprise
  • 29% Mid-Market
Adobe Analytics Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Insights
46
Analytics
36
Ease of Use
30
Features
26
Data Analysis
23
Cons
Expensive
24
Learning Curve
16
Steep Learning Curve
12
Learning Difficulty
10
Complexity
9
Adobe Analytics features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
8.6
AI Text Summarization
Average: 8.3
8.6
Algorithms
Average: 8.4
8.1
AI Text Generation
Average: 8.2
Seller Details
Seller
Adobe
Company Website
Year Founded
1982
HQ Location
San Jose, CA
Twitter
@Adobe
973,290 Twitter followers
LinkedIn® Page
www.linkedin.com
42,285 employees on LinkedIn®