Salesforce Einstein Analytics delivers intuitive predictive analysis and robust CRM integration, managing data effectively for real-time insights, enhancing decision-making, and enabling workflow efficiency through scalable, AI-driven capabilities.
| Product | Mindshare (%) |
|---|---|
| Salesforce Einstein Analytics | 1.1% |
| Microsoft Power BI | 8.0% |
| Tableau Enterprise | 6.0% |
| Other | 84.9% |
| Type | Title | Date | |
|---|---|---|---|
| Category | BI (Business Intelligence) Tools | Apr 27, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Apr 27, 2026 | Download |
| Comparison | Salesforce Einstein Analytics vs Microsoft Power BI | Apr 27, 2026 | Download |
| Comparison | Salesforce Einstein Analytics vs Tableau Enterprise | Apr 27, 2026 | Download |
| Comparison | Salesforce Einstein Analytics vs SAP Business Data Cloud | Apr 27, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Microsoft Power BI | 4.0 | 8.0% | 93% | 331 interviewsAdd to research |
| Tableau Enterprise | 4.2 | 6.0% | 90% | 309 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 59 |
| Midsize Enterprise | 45 |
| Large Enterprise | 92 |
Known for its intuitive interface, Salesforce Einstein Analytics excels in predictive analysis and integrates seamlessly with CRM platforms. This tool handles large volumes of data, creating interactive dashboards and providing real-time insights into business operations. Its AI-driven features enhance decision-making and workflow efficiency, offering personalization options and scaling capabilities. However, users note challenges with support, mobile accessibility, and data flow functionality. Deployment and coding complexity can complicate use, and mobile integration seems limited. Despite a high price, enhancements in transparency and data handling robustness, improved user interface customization, and greater regional adaptability would be beneficial.
What are the key features of Salesforce Einstein Analytics?Companies use Salesforce Einstein Analytics across industries for integrating platforms like Genesis and ServiceNow, building predictive models, and automating tasks. It is pivotal in creating dashboards from multiple data sources, syncing email communication, and gaining customer insights. By evaluating metrics and enhancing human capital management, it functions as an integrated platform for marketing and customer service, aiding in opportunity analysis and predicting deal closure likelihood.
Salesforce Einstein Analytics was previously known as Einstein Analytics, Salesforce Wave Analytics.
ADS Securities, Alstom Grid, American Express, Barclays Bank, Coca-Cola, CoderDojo, Dubai Multi Commodities Centre, Financial Conduct Authority
| Author info | Rating | Review Summary |
|---|---|---|
| Solution Architect And Senior Consultant at Keysight Technologies | 4.0 | I find Salesforce Einstein Analytics to be an integrated SaaS solution beneficial for marketing and business intelligence. Predictability and ease of use stand out, though module integration needs improvement. Despite downtime issues, it provides significant ROI. |
| Preseales And Solution Head at Tata Consultancy | 3.5 | I use Salesforce Einstein Analytics to write custom codes for technicians because it's integrated with Salesforce and offers valuable predictive insights. However, there's a learning curve due to its unique language, and it relies heavily on Salesforce-specific data quality. |
| Enterprise Account Executive at T-Mobile | 4.0 | I primarily use Salesforce Einstein Analytics for sales analysis. Its reporting tools are valuable, but report generation often requires expert help, which should be more user-friendly. Despite this, we've gained a return on our investment. |
| Marketing manager at Wowtickets | 4.5 | Salesforce Einstein Analytics is a tool I find invaluable for its ease of integration and AI-driven features, simplifying reporting and data tasks. While it's expensive, the ROI justifies the cost, outperforming previous tools like IBM and Google Analytics. |
| Data Analyst at Wespath Benefits and Investments | 4.5 | We use Salesforce Einstein Analytics mainly for Service Cloud, utilizing its features to correctly classify cases and manage knowledge efficiently. The out-of-the-box analytics capabilities are impressive, but transparency in model creation and algorithm flexibility need improvement. |
| Head of Product Strategy and Innovation at a computer software company with 51-200 employees | 4.0 | We use Einstein Analytics for evaluating sales and marketing metrics. It provides insights and benchmarks critical for achieving our goals. There's a need for improved skillset understanding, and we considered other platforms like Oracle before choosing Einstein Analytics. |
| Country Manager & Global Sales Director at Babel systems | 4.5 | I use Salesforce Einstein Analytics for building predictive sales models. Its ease of use is valuable, with data readily available from Salesforce. While its price is high in Mexico, we haven't seen ROI yet and started without considering alternatives. |
| Senior Quality Assurance Consultant at Public and Business Service Delivery | 4.0 | Salesforce Einstein Analytics has been visually appealing with its lightning interfaces, yet it struggles with handling large data and bugs. Although intuitive compared to our previous .NET solutions, improvements for mobile access and performance are necessary, and ROI remains unseen. |
