Kepion is a cloud planning & analytics software company
that connects all organizations' teams under a single view of their business
performance. We enable more intelligent decisions to be made by companies about
their financial and operational future.
Kepion global offices and partners deliver rapid solutions
for mid-size and enterprise customers. We make it possible for businesses to be
empowered with real-time analytics, what-if scenario modeling, and the ability
to model complex…
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SAP Analytics Cloud
Score 7.8 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
Kepion Planning
SAP Analytics Cloud
Editions & Modules
On premise Install
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Cloud Planning
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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
Kepion Planning
SAP Analytics Cloud
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
Please contact us at sales@kepion.com for more details.
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.
Well-suited: Migrating from planning in Excel, scenarios when multiple users are involved in the planning process, scenarios where there is a commitment to improve the planning process and accuracy.
Less appropriate: Where users are looking for a lower-overhead, more visual, less-connected solution.
SAP Ecosystem Integration:For businesses already using other SAP solutions such as SAP BW or SAP HANA, SAP Analytics Cloud is a natural fit. It integrates well with the broader SAP ecosystem, providing a cohesive analytics experience for users familiar with SAP technologies.Predictive Analytics Use Cases:Companies seeking to incorporate predictive analytics into their decision-making processes can leverage SAP Analytics Cloud. Its built-in predictive features enable users to create models and gain insights into future trends based on historical data.
Customizable platform: Enables its users to handle just about any kind of budgeting scenarios tailored to each customer needs, whether based on drivers, allocations integrations with other systems (such as S&OP processes).
Easy integration with other systems: As data is stored within an MS SQL database it is very easy to integrate other applications with it for reporting, such as Tableau or PowerBI or from other downline systems such as S&OP.
Real-time: Enables the possibility to calculate bottom line results for all applications immediately allowing the possibility to calculate easily what-if scenarios.
Not stuck: within a single way of budgeting. as part of the beyond budgeting movement, companies have been creating a more driver-based high-level forecasting which is often a problem with specific budgeting systems that are locked within the P&L statement. Here you can make it as simple or as complicated as needed.
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.
Interface: The interface is built in Silverlight, so is a little clunky and inflexible. Kepion are, however, planning to launch a HTML5 version in March 2018, which will greatly enhance the product.
Visualisation: We usually use Kepion for data entry and deep analysis, and then leverage tools like Power BI or Tableau to visualise data or create aggregated management reports.
There’s no doubt I will renew SAP Analytics Cloud. It is the most vital tool in our organization that makes it seamless to make rapid business decisions by collecting, modeling and visualizing data in real-time.
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
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
We are a Microsoft gold analytics partner. As such, we were looking for a Microsoft friendly solution which would fit into our analytics stack with Tableau on top. Kepion is a lightweight easy to use solution which integrates perfectly with the Microsoft framework. It is much easier to use and intuitive than the heavy Cognos and SAP/BO systems. However, if my existing infrastructure is Cognos, SAP or Oracle I would consider using that technology. For Microsoft SQL companies this is a great choice.
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.
Optimized our budgeting and forecasting processes. The platform facilitates real-time collaboration among our teams, allowing for more accurate and agile financial planning. This has led to improved precision in budget allocation, ensuring that resources are strategically deployed to support the most promising startups within our portfolio.
SAC's intuitive dashboards and visualizations provide a consolidated view of key performance indicators, startup health metrics, and portfolio analytics. This heightened data visibility enables our teams to make informed decisions promptly, identify emerging trends, and proactively address challenges.
Routine tasks, such as performance tracking and reporting, are automated, allowing our teams to focus on more strategic initiatives. This has resulted in time savings and increased productivity across various operational processes.
