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We have seen a 100% increase in our overall revenue with the help of Pyramid Analytics.
There is a positive return on the data investment for my clients using Pyramid Analytics.
My best anecdote is during the COVID pandemic when it enabled much faster decision-making and for us to make decisions that protected the business from potential failure.
The biggest return on investment is the time saving for the customer.
I would give customer support for Pyramid Analytics a ten because they were very responsive.
The support team is very responsive and helpful whenever we encounter any issues.
They're more than happy to get their developers on a call directly to assist as well.
I would rate the customer support a solid 10.
I am totally satisfied with technical support from Qlik.
It is more than capable of being deployed on a scalable architecture.
As data grows and volume increases, scaling up is easily accomplished whenever needed, based on requirements.
We were able to handle larger data sets, meaning we could analyze old data to see how certain campaigns or products performed over the past one, two, three, five, and even ten years.
If you want better performance with a larger volume of data, you can simply add an additional server.
Pyramid Analytics is stable in my experience; there have not really been issues with downtime or bugs.
There are no issues with Pyramid Analytics in terms of speed or performance, even when we work with large data sets.
I found Pyramid Analytics to have some reliability issues; there was a time when the service was down for about a week, impacting our development and client dashboards, which should not happen, as data products should always be operational.
Other improvements Pyramid Analytics needs are to make the platform more user-friendly for the layman because when presenting something this complicated to companies, if they cannot use it to its full capacity, it is a possible loss.
Any advanced user wants to implement an idea that they have, and while the whole idea of a platform is not necessarily to give a custom solution, I would not mind if they had more in terms of AutoML or that sort of capability.
Visually, when you want to see the whole model and the connections between tables, the view is not friendly.
In QlikView, I believe the improvement that should be made is to bring the costs down, as you'll have to be competitive with Power BI, aiming for at least a 30% reduction to stop the hemorrhaging to Power BI.
It would be beneficial to have AI or ML features in QlikView.
When we went to market and had quotes from multiple different vendors including Power BI and other leading software tools, it was at a comparative level but lower and a bit more cost-effective.
It's not more expensive than all our other BI tools regarding Pyramid Analytics.
Some of the conditions where we require to update this licensing part where we will be cut off some of the annual price, some of the specific institution such as for education or EdTech or hospitals, this will be useful.
The license cost per user or per year for QlikView is about 500 Euros annually.
I would rate the pricing for QlikView as not cheap, but it is reasonable.
After implementing Pyramid Analytics for my clients, I have seen measurable outcomes and specific improvements, such as having a single platform that gets them from the raw data to the endpoint reporting.
Pyramid Analytics's main power is its ability to hold the semantic layer inside so it understands the data such that all the dashboards put in front of people are self-service.
Pyramid Analytics has allowed us to be more insightful in our reporting, positively impacting our organization.
The best features in QlikView are rapid development, the fact that I can do what I want in QlikView, and full control along with ease of use.
Building metrics using simple language, similar to what you have in Excel, is what I have found most valuable in QlikView.
| Product | Mindshare (%) |
|---|---|
| Pyramid Analytics | 1.0% |
| Microsoft Power BI | 7.7% |
| Tableau Enterprise | 6.2% |
| Other | 85.1% |
| Product | Mindshare (%) |
|---|---|
| QlikView | 3.8% |
| Tableau Enterprise | 14.6% |
| Microsoft Power BI | 13.5% |
| Other | 68.1% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 73 |
| Midsize Enterprise | 36 |
| Large Enterprise | 76 |
Pyramid Analytics provides comprehensive BI reporting, data visualization, and analytics capabilities, integrating with systems like SAP and MSAS for enhanced data-driven decision-making across multiple industries.
Pyramid Analytics is a robust platform offering advanced data model capabilities, drill-down reports, and extensive connectors. With support for DAX queries and a range of AI functionalities, it empowers finance departments to analyze data and provide real-time insights for executives. Despite challenges such as non-intuitive visuals and data management difficulties, it remains a versatile tool for enterprise projects, enabling detailed report development, dashboard creation, and self-service analytics.
What are the key features of Pyramid Analytics?Pyramid Analytics is widely implemented across industries such as finance for detailed data analysis and contact center reporting. It supports enterprise projects by enabling user-friendly data exploration that facilitates comprehensive decision-making. With its integration capabilities, it helps organizations leverage existing systems for better analytics outcomes.
QlikView enhances data analysis with its associative data model and rapid in-memory processing, providing dynamic dashboards and robust visualization, while efficient data integration allows connections to multiple sources.
QlikView offers powerful analytics and insight generation capabilities through its integration with Salesforce, enabling real-time sales data access. Its customizable dashboards are complemented by scripting for complex calculations and QVDs for performance optimization. Designed to be user-friendly, it supports ETL processes and diverse data browsing, allowing users to interact with data intuitively. However, there is room for improving licensing complexities, scalability, and self-service functionality. Additional enhancements are desired in visualization, integration with Qlik Sense, and predictive analytics support.
What are QlikView's key features?QlikView finds use in building business intelligence dashboards across sectors, integrating with Salesforce for analytics, supporting financial planning, and tracking sales. Its intuitive interface aids manufacturing companies in KPI monitoring and informs commercial decisions. The tool enhances reporting, ETL processes, and diverse data source integration, facilitating offline data access.
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