Salesforce Einstein Analytics and Sigma compete in the analytics platform category. Sigma seems to have the upper hand in advanced data analysis capabilities, whereas Salesforce Einstein Analytics integrates seamlessly with other Salesforce products.
Features: Salesforce Einstein Analytics emphasizes compatibility with Salesforce CRM, incorporating real-time insights and AI-driven analytics. Sigma stands out with powerful querying, customizable dashboards, and collaborative capabilities essential for deep data exploration.
Ease of Deployment and Customer Service: Sigma offers straightforward deployment with comprehensive documentation and effective customer support. Salesforce Einstein Analytics deploys smoothly within the Salesforce environment, benefiting existing Salesforce clients with consistent support.
Pricing and ROI: Salesforce Einstein Analytics offers competitive pricing within its suite, providing favorable ROI for existing customers due to tight integration. Sigma, although perceived with slightly higher initial costs, offers compelling ROI through advanced analytical capabilities and flexible data handling.
It's essential for everything data-related within our company.
I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.
I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.
Tech support for Salesforce Einstein Analytics is generally good.
Their support I really think is a 10 out of 10.
The support staff are all professional users of the product itself and they are available almost 24/7 and helped me to come up with solutions to all of the problems that I had.
As Sigma is a cloud platform, you do not need to do all that maintenance work.
Sigma seemed to scale just fine with our large data sets and could handle anything we threw at it.
Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.
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.
We did not face typical errors during our project with Sigma.
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.
The main improvement needed is in data modeling capabilities.
Sigma lacks a versioning feature to track changes.
It would be great if there was a way for me to create reports without relying on a data analyst.
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.
The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.
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.
The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.
Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.
Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.
| Product | Mindshare (%) |
|---|---|
| Sigma | 1.6% |
| Salesforce Einstein Analytics | 1.1% |
| Other | 97.3% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
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.
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.
Sigma enhances data tasks with an Excel-like interface, encouraging collaboration and non-technical user engagement. Its strengths include handling vast datasets and facilitating real-time data exploration, appealing to industries aiming for data-driven decision-making.
Sigma stands out with its capabilities for real-time collaboration and ease of use due to its Excel-inspired interface. It supports engagement with large datasets and prioritizes strong data governance. Key features include live queries on cloud databases and seamless integration with Snowflake. Its AI capabilities and self-service access help users perform detailed reporting and pivot table creation from extensive datasets, significantly affecting organizational efficiency and decision-making processes.
What are Sigma's most important features?Sigma is predominantly used for creating dashboards, reporting, and data visualization. It assists in real-time data exploration and ad hoc analysis, connecting seamlessly with Snowflake for consistent data views. Sales teams use it for performance comparison dashboards, while marketing teams apply it for data migration assessments. Organizations leverage its comprehensive reporting and analytics for informed decision-making.
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