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Salesforce.com Inc

Tableau CRM Analytics

Composite Score

7.6 /10

CX Score

8.1 /10

27 Reviews Write a Review

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What is Tableau CRM Analytics?

Discover the story your data has to tell. CRM Analytics (formerly Tableau CRM) empowers your Salesforce CRM users with actionable insights and AI-driven analytics right in their workflow. Find patterns and experience actionable insights specific to your business, and infuse them into every process. Drive better outcomes with a full understanding of what happened, why it happened, and what you should do next, right in the flow of your work. It’s a complete intelligence experience built for Salesforce.

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Awards & Recognition

Tableau CRM Analytics won the following awards in the Business Intelligence & Analytics - Enterprise category

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2 Top Rated Capabilities

0 Top Rated Features

2024

3 Top Rated Capabilities

2 Top Rated Features

2023

Service Experience
Product Impact

2022

3 Top Rated Capabilities

0 Top Rated Features

2022

Tableau CRM Analytics Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Tableau CRM Analytics.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

85 Likeliness to Recommend

2
Since last award

100 Plan to Renew

4
Since last award

84 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Tableau CRM Analytics?

2% Negative

5% Neutral

93% Positive

Pros

Reliable
Performance Enhancing
Includes Product Enhancements
Respectful

Feature Ratings

Average 80

Data Exploration and Visualization

Real-Time Visualization

Dashboard

Advanced Analytics and Data Science

BI Security

Data Modelling Tools

Collaboration

BI Platform Administration

Self Service and Ad Hoc Capabilities

Spatial Analysis

Intelligent Alerts and Notifications

Vendor Capability Ratings

Average 79

Vendor Support

Ease of Data Integration

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Business Value Created

Breadth of Features

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of IT Administration

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.3

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Sales Analytics

Score 7.8

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Customer Intelligence

Score 7.6

View Tableau CRM Analytics in this category (opens in a new tab)

Tableau CRM Analytics Reviews

shubhangi ..

Role: Information Technology
Industry: Retail
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2022

Best Visualization Tool

Likeliness to Recommend

10 /10

What differentiates Tableau CRM Analytics from other similar products?

Tableau gives the best features to visualize and analyze the dataset. It consists of different kind of graphs, charts which can be implemented by simple drag and drop in our dataset. The best part about Tableau is it can hold multiple files types to have in the datasets and we can create the graphs on top of it. Also it allows to customize and draw different graphs, chart.

What is your favorite aspect of this product?

The ability to query the data using SQL operations and join multiple tables and visualize the same is the best part on the fly. Second, Tableau having one of the best technical support teams which are always ready to help whenever we encounter problems, they were very remarkable which compared to other we need to setup a meeting and invest time.

What do you dislike most about this product?

Nothing of now to say there is any drawback in the tool as it give the best feature and visualization. Also the amount of data is excellent.

What recommendations would you give to someone considering this product?

Definitely I will recommend to use this tool as its very dynamic and provide good graphs which help to analyses the business and increase the productivity or revenue based on what figures.

Pros

Helps Innovate
Continually Improving Product
Enables Productivity
Effective Service

Ritu D.

Role: Consultant
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Feb 2022

Lot of features and functionalities but bit pricey

Likeliness to Recommend

9 /10

What differentiates Tableau CRM Analytics from other similar products?

1. Features like dataflow and recipe are only in Tableau CRM 2. It is good option if all your data is in Salesforce. 3. There is already embedded AI and Machine learning so we don't have to much in Salesforce Discovery.

What is your favorite aspect of this product?

1. Visualization of 50Million data is possible. 2. Data transformation is there with the help of dataflow. There are so many features available in the recipe which make data transformation so easy.

What do you dislike most about this product?

1. Limitation of features. But It has been continuously growing since the launch. They keep adding cool features quarterly.

What recommendations would you give to someone considering this product?

It has limited features compared to other BI software but it also new tool as compared to other. It has grown exponentially since 2016.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Trustworthy

Andrew V.

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Feb 2022

Fantastic Product! New features and capabilities

Likeliness to Recommend

8 /10

What differentiates Tableau CRM Analytics from other similar products?

The biggest difference between the two platforms is what they focus on. I feel like Tableau CRM focuses more on creating the right dashboards to gain insights in your data, while Tableau Desktop focuses more on manipulating your data in order to create the right visualizations.

What is your favorite aspect of this product?

For example, in Trailhead they mostly start by building a diagram and afterwards making changes so that you get the correct insights. In Tableau they mostly start with manipulating the data and afterwards making the diagram so you immediately get the right insights. So I think that Tableau CRM is more catered towards people who are just starting their data journey. While Tableau Desktop is catered towards people with a little bit more knowledge about data.

What do you dislike most about this product?

It is unstructured, not many documentation

What recommendations would you give to someone considering this product?

If you’re looking for a business intelligence tool to use with your Salesforce data, then Tableau CRM is probably the best option

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Tableau CRM Analytics

What is Tableau CRM Analytics?

Company Details

Book a Free Demo Today!

Awards & Recognition

Tableau CRM Analytics Ratings

85 Likeliness to Recommend

2 Since last award

100 Plan to Renew

4 Since last award

84 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Tableau CRM Analytics?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Real-Time Visualization Ability to analyze and visualize data as soon as it becomes available via data-streaming pipelines.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Advanced Analytics and Data Science Techniques including predictive, data and text mining, machine learning, forecasting, what-if analysis, sentiment analysis etc.

BI Security Data access control management, including access permissions management, user authentication and enforcement of access permissions via technology.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

BI Platform Administration Centralized console to manage BI portal administration. Management metrics and reports on usage, resource utilization, security, and other activities.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Spatial Analysis Ability to natively visualize and analyze spatial data out of the box tied to postcode, zipcode or spacial co-ordinates.

Intelligent Alerts and Notifications Ability to create, manage, send and receive notifications, enhancing efficiency and productivity.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Also Featured in...

Business Intelligence & Analytics - Midmarket

Sales Analytics

Customer Intelligence

Tableau CRM Analytics Reviews

shubhangi ..

Best Visualization Tool

Likeliness to Recommend

Pros

Ritu D.

Lot of features and functionalities but bit pricey

Likeliness to Recommend

Pros

Andrew V.

Fantastic Product! New features and capabilities

Likeliness to Recommend

Pros

2
Since last award

4
Since last award

1
Since last award

Feature Ratings

Data Exploration and Visualization

Real-Time Visualization

Dashboard

Advanced Analytics and Data Science

BI Security

Data Modelling Tools

Collaboration

BI Platform Administration

Self Service and Ad Hoc Capabilities

Spatial Analysis

Intelligent Alerts and Notifications

Vendor Capability Ratings

Vendor Support

Ease of Data Integration

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Business Value Created

Breadth of Features

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of IT Administration