Sisense and Salesforce Einstein Analytics are key players in the business intelligence and analytics sector. Sisense holds an edge with its ease of deployment and strong visualization tools, while Salesforce Einstein Analytics excels in AI-driven insights and seamless integration within the Salesforce ecosystem.
Features: Sisense is well-regarded for its swift integration of data from multiple sources, a comprehensive set of visualization tools, and a user-friendly platform that minimizes the need for extensive IT expertise. Additionally, its responsiveness and supportive customer experience add to its appeal. Salesforce Einstein Analytics is noted for its flexibility and integration with the Salesforce ecosystem, making it ideal for CRM-related tasks. Users benefit from AI-driven insights, scalability, and improved organizational communication.
Room for Improvement: Sisense could improve by enhancing integration with statistical tools, providing more flexibility for large datasets, and offering advanced customization for complex scenarios. Users have indicated the need for more developer-driven functionalities, like improved joins and filtering. Salesforce Einstein Analytics could enhance its handling of large-scale data and model transparency. There is also feedback regarding better pricing options, self-service capabilities, mobile functions, and report generation improvements.
Ease of Deployment and Customer Service: Sisense offers flexible deployment, including on-premises and cloud environments, earning high marks for customer service and technical support. Its intuitive tools require minimal support intervention. Salesforce Einstein Analytics operates in a cloud environment, focusing on seamless integration with Salesforce. While customer service is generally satisfactory, users suggest consistency and speed of responses could be improved.
Pricing and ROI: Sisense is competitively priced for its features, though it can be costly for small businesses. It provides good value for mid-size to large enterprises due to its dashboard reporting and rapid ROI. Despite being more expensive than tools like Tableau, Sisense maintains a good price-functionality balance. Salesforce Einstein Analytics is perceived as expensive, potentially limiting smaller enterprises. However, its comprehensive package suits those requiring extensive CRM capabilities, with subscription-based licenses offering scalability for larger enterprises.
Tech support for Salesforce Einstein Analytics is generally good.
The support was very good.
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 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.
I would like to see an improvement in the live data connection, specifically making the process faster.
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.
There was no significant difference in pricing between Sisense and ThoughtSpot.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
It allows for a personalized customer experience by providing insights.
It offers two ways to access data: by cubing the data or hitting it live.
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:
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
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