SAP Analytics Cloud Reviews

We used SAP Analytics Cloud for Business Intelligence, Automated Machine Learning, efficient modelling and predictions for business modelling. It is having a single unified dashboard for robust and rapid prototyping. It is also having mobile and web extensions, which supports iPhone or iPad to access latest information and analytics information. It also provides high end team collaboration capabilities using chats and notifications. SAP Analytics Cloud also provides feature like SAP Business Warehouse. It comes with robust cloud solutions to enhance corporate performance and overall growth.

This cloud solution has been used as business intelligence tool for quite some time in our organization to gather some critical data insights using the live data available through HANA database. It uses some future ready machine learning models to give us the required end results that we can present to the management with quite some confidence.
It's a really secure solution with a high level of governance and compliance as per our IT policies. Our lead time for dashboard development from proof of concept by Subject matter expert to final implementation by db connection, folder permission formalities were under 2 months. Thanks to the intuitive interface on offering we used this software mainly for the predictive analytics capabilities and easy spooling of data to generate apt reports.

We are using SAP Analytics Cloud for data warehousing, data analysis, exploration, visualization, augmented analytics (insight to action), and integrated planning using workflows. It has provided us with a one-stop platform to do and stitch together planning, dashboarding, and analytics. We love it.

SAP Analytics Cloud is used by different teams as a contributor to end-user. We basically have a different set of data for a different set of users and I really like how easy it is to connect and use all these data sources. It is a really helpful tool for our marketing and sales meetings and drives the results based on the reports from SAP Analytical Cloud.

SAP Analytics Cloud is a stable platform that we use in our organization to make meaning out of our data and from using it, we acquire insights, empirical data that helps us in forecasting, predictive analytics and decision making among others. It's an easy to use platform and it's used across our departments where it helps us solve the business problem of coming up with decisions that lack scientific insights and ones that do not reflect the position of our business. SAP Analytics Cloud gives us a clear outline and standing of our business for purposive planning.

I was first introduced to this tool several years ago when I was still working with IBM. The system was used then mainly for financial data, vendor management as well as an HR tool that helped the organization to perform tasks more efficiently and at a real-time state. Last year, a client that I worked with, as freelance analyst, was also working with same system and they are mostly using this for financial reporting. Being, a multinational firm, it allows them to manage, monitor and maintain financial data real time and hence lessen errors/risks brought about by getting incomplete/ untimely data.

SAP Analytics Cloud helps us create Stories that shows real-time data which comes from variety of source systems. These stores help take decisions at different levels in the organization. SAP Analytics Cloud with its unique features including - rendering on any device, R visualizations, digital board room agenda creation are highly powerful.

SAP Analytics is currently used across all departments (finance/HR/sales) of client I support. We have designed various stories and applications as well on sales/finance/HR data showcasing different KPIs, Top N contributors, Geo-Map data points. There is not much additional work needed as the same story can easily be seen using mobile or tabs by business users. Business users loved the smart capabilities of SAC wherein they type any query in Natural Languages and it produces relevant graphs to users.

Recently I have done POC on HR data for them to identity probable employees who could leave organization. The POC went well so we are asked to implement the same. I used built classification-in for addressing Attrition problem which resulted in 83% accuracy. Client has asked us to do a POC using regression if we can predict number of copies to be printed considering various factors like historical data (sports event/elections/or other catastrophic events).

Suggestion:
However I feel SAC can be more effective if more modelling capabilities are provided. Integration with R is good but SAP should think of Python integration as well, reason being Python is more user friendly and capable of doing all what R does.

We are using for specific few departments, source data is SAP BW. Business team needs dashboard to be created to analyse the data more effectively. We are planning to implement Planning model for finance team.

SAP Analytics Cloud is being used by a vast part of our company. We are able to ingest data from a wide range of sources and make sense of it. What otherwise would have been slow and error-prone process is now being achieved quickly and dynamically. Ability to connect to cloud sources, SQL servers and SAP On Premise is making this possible.

Until now, we have often kept data in SAP ERP redundant for analytics. With the new SAP Analytics and the so-called CDS views, this is no longer necessary. This means we have less development effort and our customers have real-time access to analyses. Correspondingly a real WIN WIN situation. Some of our customers had already started to build their own islands. It was difficult for us to build them back. But we did it.

We have used SAP Analytics Cloud in a number of SAP implementations at our client sites. Typically, they use SAP Analytics Cloud to drive insights and knowledge related to the wealth of master data stored within an SAP ERP system such as S4 HANA or SAP ByDesign. It can also be used with a large number of third party data sources as it supports a wide range of integration strategies.

We've been using SAP Analytics Cloud in our company for quite a while now. We started with the sales and marketing department, but now it is being used across the organization. It is very useful for creating meaningful reports from the extensive data coming in from various sources, and helps us in forecasting, which is a crucial part of the e-learning industry. Another great feature is that it helps us in managing data in real time.

We have been testing SAP Analytics Cloud for the past six months to expand our BI/analytics capabilities and further integrate it with SAP Cloud solutions. Being powered by HANA with instant (built-in) data source options (BW), it piqued our interest. It is being used by selective power users/analysts throughout the entire organization. For a long time they have been asking for an all-in-one cloud-based solution where they can develop dashboards and use planning/predictive features (modules) and share them in a centralized location (digital boardroom).

We use SAP Analytics Cloud for our internal BI requirements. We use it to see how our sales teams are performing, what do our customers say about our products, and also to understand what is the ROI for marketing spends. The data comes from different sources and the software handles it seamlessly and provides meaningful insights. We use it in two business units.

SAP Analytics Cloud provides data exploration and visualization, through which the interactive dashboards can be created. It also has embedded machine learning algorithms, which are quite handy to use to make data-driven business decisions.

SAP Analytics Cloud is being used by different teams across the organization and on the clients projects. We have different data requirements with sets like FI, inventory, or HR. It is very easy to connect and use all these data sources. SAP Analytics Cloud is a really helpful tool for our internal and sales pitches. It also has machine learning built in, which really helps to get the insight you are looking for. SAP Analytics Cloud gives us a clear and crisp dashboard and digital boardroom for our business for deliberate planning.

I have used SAP Analytics Cloud for my clients where it is mostly used organization wide to solve various business problems related to Sales, Finance, Inventory, etc. Mostly SAP Analytics Cloud is used to build applications for decision makers to look at the latest data and make an informed decision.

SAP Analytics Cloud enables our company's transformation process of "data-driven decision making." We are performing in a very dynamic sector and real-time data is very crucial for the competitive advantage. Our whole Executive Committee and Management team are using the SAP Analytics Cloud dashboard for both operational and strategic KPI's and performance tracking.

We use [SAP Analytics Cloud] to help identify and streamline our supply chain planning for our product.
It assists in the identification of the stop blocks that are not allowing for timely changes, which areas need focus groups to work through the kinks.

SAP Analytics Cloud is used for ingesting data, doing analysis, publishing reports, building visualizations within the team. Uploading data was quite easier and csv can easily be uploaded there. We also use story mode whereby we can get quite an interesting view. The discovery process in the tool is quite intuitive and allows us to find detailed insights. Visualizations are good but not as useful.

I am both involved in development of SAC use cases as consultant for clients as well as for internal assets/showcases at my company. I have used SAC for a variety of use cases from top management reporting to planning applications. At our clients it is usually used across the organization once the decision for the product is made. Some of the teams at my current project have already set developments into productions whereas other teams will start doing so beginning Q1 2021.

Used mainly by our business intelligence division, but available to everyone via a democratized data policy, we depend on SAP Analytics [Cloud] to drive our major product roadmap decisions using informed user-specific data. We are able to get a 360 view of our business in seconds, by mixing data from multiple streams, connecting both cloud and on-premise data to eliminate knowledge silos.

SAP Analytics Cloud is primarily being used for reporting purposes as well as predictions. It is used primarily for the finance and sales business functions; and not being used across all functions. It is used for generating reports on business data; analyzing the data and carrying out predictions based on the Smart Insight and Smart Discovery features.

Worked on SAP Analytics Cloud Solutions for Oil & Gas Upstream Industry. Worked
on creation of Connection between SAP S4HC & Sap Analytics Cloud using CDS
views. Developed queries, models, stories & a digital boardroom. We used the dashboard in SAP Analytics Cloud and explored different features such as smart insights, VDT, geo map, and time series charts in IBO. It helped in taking strategic decisions and tweaking the data as per client convenience.