SAP BusinessObjects Business Intelligence and Salesforce Einstein Analytics compete in the data analytics solutions category. User satisfaction tends to favor Salesforce Einstein Analytics due to its advanced AI features and seamless cloud integration.
Features: SAP BusinessObjects offers robust reporting tools such as WebIntelligence and Lumira for comprehensive data analysis. Its semantic layer improves queries with business vocabulary, enhancing usability in complex environments. Additionally, SAP provides multi-source connectivity for versatile data handling. Salesforce Einstein Analytics excels with predictive analytics and AI-driven insights, delivering user-friendly dashboards and seamless CRM integration.
Room for Improvement: SAP BusinessObjects users highlight the need for improved predictive analytics and enhanced cross-platform integration. Licensing complexity and performance issues are other concerns. Users of Salesforce Einstein Analytics find it expensive and suggest better mobile access and customization. Broader integration across Salesforce products and enhanced regional options are also recommended.
Ease of Deployment and Customer Service: SAP BusinessObjects typically demands on-premise deployment, which requires significant infrastructure but benefits enterprises with specific governance needs. Salesforce Einstein Analytics uses a cloud model for easy deployment and access, appealing to those seeking scalable solutions. SAP’s support receives mixed reviews, whereas Salesforce is praised for commendable customer service.
Pricing and ROI: SAP's enterprise-focused licensing is cost-prohibitive for smaller businesses, though ROI is viable with full feature use. Salesforce Einstein Analytics employs a subscription model, which can be costly initially. However, it often yields ROI through high usage or when integrated with Salesforce CRM, providing actionable insights.
The initial investment will be more, but the ROI is also good, so they can consider it if they're looking for something in the long run.
For most of my clients using the on-premises version of SAP BusinessObjects Business Intelligence Platform, the return on investment is positive due to its affordability and ability to handle diverse reporting needs while automating information distribution.
I have seen a return on investment so far in the form of saved time and resources.
Tech support for Salesforce Einstein Analytics is generally good.
I would rate their technical support as excellent.
I have experience with SAP technical support and have supported customers, including those in financial services.
Sometimes, they forward my ticket to the technical team, especially when my issue involves technical aspects that basis people may not be familiar with.
The scalability of SAP BusinessObjects Business Intelligence Platform is adequate; it is very scalable and grows with my organization's needs.
I rate the scalability of SAP BusinessObjects Business Intelligence Platform as a nine due to performance issues related to optimizing parts.
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.
When they tried upgrading from 4.2 to 4.3, they found it buggy in some reports, which was quite problematic.
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've worked with other tools, for example, Microsoft Power BI, which is visualization-wise very strong.
SAP BusinessObjects is expected to be phased out by 2027 as reports are moving to SAP Analytics Cloud.
I would appreciate integration with Outlook as an additional feature in the future to make it closer to a perfect score.
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.
SAP BTP is an expensive solution.
The price is very competitive and reliable.
I rate the pricing for SAP BusinessObjects Business Intelligence Platform as a seven or eight.
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.
For calculations, SAP BusinessObjects Business Intelligence Platform outperforms all other tools such as Power BI and Tableau, showing more accuracy, reliability, and flexibility compared to all other BI tools worldwide.
Since we started using SAP BusinessObjects Business Intelligence Platform, we have been able to make faster, data-driven business decisions based on actual data insights and data analysis, which has accelerated our ability to make better decisions for our business productivity.
The best feature about it for me, and for them, is the fact that you have a universe that is well made.
| Product | Mindshare (%) |
|---|---|
| SAP BusinessObjects Business Intelligence | 2.7% |
| Salesforce Einstein Analytics | 1.1% |
| Other | 96.2% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 20 |
| Large Enterprise | 67 |
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.
SAP BusinessObjects Business Intelligence Platform offers powerful tools for enterprise reporting and data visualization, enhancing strategic decision-making through robust integration and secure analytics capabilities.
Designed for comprehensive enterprise reporting, SAP BusinessObjects Business Intelligence Platform integrates seamlessly with SAP ERP, supporting organizations in creating detailed financial, operational, and academic reports. The platform allows data manipulation across multiple sources using a semantic layer and provides intuitive tools like Web Intelligence and Lumira for user-driven report creation. It features centralized management, versatile connectors, and supports large-scale data analytics critical for business forecasting.
What are the key features of SAP BusinessObjects Business Intelligence Platform?Organizations across sectors like healthcare, education, insurance, and retail leverage SAP BusinessObjects Business Intelligence Platform for its capability in facilitating detailed reports and integrating dashboards for key performance indicators. Its extensive reporting features support in-depth analytics vital for business prediction and decision-making processes.
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