Tableau Enterprise and Salesforce Einstein Analytics both compete in the advanced analytics category. Tableau Enterprise holds the upper hand in visualization and user-friendliness due to its ease of creating visualizations and integration with various data sources, while Salesforce Einstein Analytics shines with its predictive analysis within the Salesforce ecosystem.
Features: Tableau Enterprise offers intuitive drag-and-drop functionality, flexible integration with various data sources, and superior graphical visualization capabilities. Salesforce Einstein Analytics provides powerful predictive analytics, seamless Salesforce ecosystem integration, and advanced AI-driven insights.
Room for Improvement: Tableau Enterprise could enhance its ETL capabilities, optimize large data set performance, and expand predictive analytics features. Salesforce Einstein Analytics needs better integration with external platforms, improved mobile functionality, and more customization options at lower costs.
Ease of Deployment and Customer Service: Tableau Enterprise provides deployment options across on-premises, hybrid, and cloud environments, though it can be complex for users without sufficient expertise. Salesforce Einstein Analytics simplifies deployment with its cloud-based model but lacks on-premises flexibility. While both offer community support, Tableau sometimes experiences slower technical support responses, whereas Salesforce is noted for strong customer service.
Pricing and ROI: Tableau Enterprise is considered expensive, particularly for small businesses, offering a flexible licensing model but sometimes seen as prohibitive. It offers significant ROI through efficiency and reduced manual costs. Salesforce Einstein Analytics is also costly for smaller entities but provides strong ROI for enterprises within the Salesforce ecosystem using its full feature suite. The choice often depends on existing infrastructure and analytical needs.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
Tech support for Salesforce Einstein Analytics is generally good.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
A benefit is that the pricing is available online, ensuring there are no hidden costs.
In general, I would rate it as a little bit on the expensive side compared to other available options.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
It allows for a personalized customer experience by providing insights.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:
Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.
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