Klipfolio is a customizable dashboard and reporting platform that provides real-time business insights. It is used by small to mid-sized businesses and agencies to track performance metrics and create tailored reports, and to consolidate, transform, and visualize data.
$90
per month
SAP Analytics Cloud
Score 8.2 out of 10
N/A
The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
$36
per month per user
Pricing
Klipfolio Klips
SAP Analytics Cloud
Editions & Modules
Base
$90
per month
Grow
$190
per month
Team
$350
per month
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
Offerings
Pricing Offerings
Klipfolio Klips
SAP Analytics Cloud
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. There are various implementation and training options available, from a 60 Day Proof of Concept, to Onboarding & Training, or ongoing dedicated Data Hero support.
A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
Using Klipfolio is one of the finest ways we can expand our business because it is so simple to use and always has new features that make it better. We also appreciate the excellent customer service they offer. There are several benefits to making this investment in your company's efficiency and profitability. We think it's worth the money.
>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
It makes it easier yo analyse order and related records easily.
We can easily maintain and track the performance of employees in organisation.
Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
While Klipfolio covers so many of the bases, one area where I would like to see expansion would be offering additional design and graphics themes for even more customization.
Klipfolio has an extensive offering but might be even better if there were a way that we could integrate with some small to mid-sized CRM solutions for audience list segmentation and marketing integrations.
It would be interesting if Klipfolio could enable us to overlay the data learnings for cross-referencing of multiple client campaigns for comparative insights.
SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.
My initial impressions of the software have been extremely positive. There are YouTube tutorials that explain how to make klips. The intuitive design of the UI It appears that everything in this software has been thoroughly tested to create all the visualizations that can be imagined as well as the user input controls that allow users to have exactly the data they want to be displayed in seconds, considering the various functions and formulas available in the Excel integrations and the extensive list of other services that can be integrated.
On a scale of 1 to 10, I would rate 8 SAP Analytics Cloud's overall usability as a 7. SAC has a clean, modern user interface with drag-and-drop features. It is an integrated platform that combines reporting, planning, and predictive analytics in one tool. It has Real-time connectivity with SAP data sources like S/4HANA.
Self-service analytics capabilities allow non-technical users to build simple dashboards.
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But
It provides all the necessary information to be able to carry out the analysis of any type of business, to know how money is managed virtually, what to do to have greater visibility, in addition to being a platform that is always accessible and allows continuous and efficient work.
Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.
SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights
These and many other BI tools are the most direct competitors. I only have experience with Klipfolio and Tableau. Tableau is definitely more capable, but much more difficult to learn and use. Klipfolio is simple and really packs a punch for its simplicity. I have yet to run into a major problem with it lacking a needed functionality.
SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
We now have more insight into the data, and people with little technical experience can easily build stories.
