Oracle Analytics Cloud vs SAP Analytics Cloud comparison

Oracle and SAP are both solutions in the BI (Business Intelligence) Tools category. Oracle is ranked #9 with an average rating of 8.2, while SAP is ranked #4 with an average rating of 7.6. Oracle holds a 2.4% mindshare in BIT, compared to SAP’s 5.3% mindshare. Additionally, 78% of Oracle users are willing to recommend the solution, compared to 91% of SAP users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Oracle Analytics Cloud and SAP Analytics Cloud based on real PeerSpot user reviews.

Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Oracle Analytics Cloud vs. SAP Analytics Cloud Report (Updated: October 2024).

Buyer's Guide

Oracle Analytics Cloud vs. SAP Analytics Cloud

October 2024

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Categories and Ranking

IBM Cognos

Mindshare comparison

As of November 2024, in the BI (Business Intelligence) Tools category, the mindshare of IBM Cognos is 3.8%, down from 4.4% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.4%, down from 3.2% compared to the previous year. The mindshare of SAP Analytics Cloud is 5.3%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

Carlos Larrad Salgado

Deputy Director Operations Management Control at Mapfre

Improved the quality of our KPIs, while reducing calls to the IT department

I don't like that when we use Colab packages, we get less functionality. For example, you can make groups of data with Excel or with the data sets from the packages, but when you use the Colab packages directly, you can only group the data when you analyze it with Analysis Studio. I think Cognos needs to improve more on this functionality. The user experience is also very important. Cognos is not very easy to understand sometimes, especially when they change the layout but keep the functionality the same. The help is not very graphic and they have no examples. Cognos has to make a big effort to help with understanding the functionality by improving the documentation. There is a lot of documentation, but the examples are hard to find and they should make their help section easier to understand for non-technical users.

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Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at Hewlett Packard Enterprise

Empowers your entire organization to ask any question of any data—across any environment, on any device

The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions.

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RamasamyTelungupalayam

Product Manager - ERP Analytics and BI at Haleon

Seamless integration, collaborative features, and enhances data exploration

There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Mapbox integration for geospatial analytics down to longitude/latitude layers."

"If they want dashboarding, storytelling, and analyzing why KPIs are met or not, then Cognos is a better candidate than Qlik Sense."

"The initial setup was straightforward."

"Cognos' most valuable features are the bundled studios, simple UI, and advanced features like the ability to create data modules."

"IBM Cognos improves the effectiveness of the sales team."

"The correlation analysis is excellent. It's one of the best that I have used to date."

"Integration with Office can enable the 'download' mode of storytelling."

"The most valuable feature is developing reports from different data sources, making it a reliable data source."

More IBM Cognos pros

"A valuable feature is the speed of the solution."

"The best feature may be data flow, which is used to prepare and clean data."

"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."

"The technical support services are good."

"The most valuable features of the solution are dashboarding and data visualization."

"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."

"The solution can scale."

"It plays a crucial role in facilitating decision-making for various organizational stakeholders."

More Oracle Analytics Cloud pros

"Planning is the most valuable feature of the product because it's integrated and that means we don't need to rely on an independent planning environment."

"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."

"SAP Analytics Cloud is easy to create charts with, and is a stable business intelligence platform. Easy to set up solution."

"The product is flexible and has features like AI, link analysis, and insights. It has many features. I can search, and it creates automatic charts without selecting anything. For example, I can ask, "What is the gross margin?" the tool builds a chart based on my question."

"The features that are most valuable in SAP Analytics Cloud are the planning feature and the predictive analytics feature, though the planning feature needs to be more efficient."

"The tool's most valuable features are the BI and planning functionalities. I value being able to integrate smart planning with BI for analysis. The solution is user-friendly."

"The most valuable features are the visualization and user-friendliness."

"In the most recent release, the schedule publication was officially updated and it's been added on MS Office 365. I like how we had an EPM for B to C perspective; it's a great enhancement. Also, I believe the B to B connectivity has been improved. Android support for mobile is really good also. Power BI has always had android support in place, so manual support for SAP Analytics Cloud is also a very good feature."

More SAP Analytics Cloud pros

Cons

"Cognos is quite slow - it's missing the performance of the PowerPlay cubes."

"There are some small features that are missing. It would be nice if the graphics were better. You can use external sources for charts, but it's quite complex to use and not easy to implement. If you want a new chart, you can download it from multiple tools and implement it into IBM Cognos."

"We would like to see development of the product's UI function, to make it more of a UI tool that can be configured as required."

"There are many problems with the product's stability part, making it an area where improvements are required."

"Data modeling needs to be improved. We use the ETL process, and when we get errors, we then need to identify which structural change is required. The error messaging should be better. They should be descriptive rather than semantic."

"IBM Support can be slow at times, but they can usually deliver in a timely manner."

"Extending features on dashboards so it becomes a real dashboard building application, not only a data exploration tool."

"In terms of what could be improved, I would say, monitoring, monitoring, monitoring. Some improvements in monitoring would be helpful. I'd like to see more monitoring of specific reports and fields. The way the auditing is now is very limited, so I'd like to see more of that - of the monitoring."

More IBM Cognos cons

"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."

"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."

"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."

"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The product could benefit from increased flexibility compared to other vendors."

More Oracle Analytics Cloud cons

"All the features are there, maybe except for the one-gauge visualization."

"Statistical analysis should be a bit more profound than it is."

"The budget management could be better."

"They need more support for more languages, Python for example."

"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."

"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."

"The integration with other vendors and solutions could be improved."

"I am not happy with the predictive analytics features and smart features offered by the product, making them areas where improvements are required."

More SAP Analytics Cloud cons

Pricing and Cost Advice

"The cost of IBM Cognos it's more or less the same as most of the other solutions on the market. They're very competitive with the rest of the market and it is not the most expensive product."

"Pricing should be improved."

"IBM Cognos offers competitive pricing similar to other BI vendors in the market."

"My company uses IBM Cognos with another IBM product, so I think only one license is used."

"The solution is affordable."

"There is need to assess the purchase license accordingly so as to avoid audit penalties."

"Cognos is super expensive compared to Tableau ($70/month) and Power BI ($20/month) — I think Cognos is roughly $200 a month."

"I rate the product price as four or five on a scale from one to ten, where one is a low price, and ten is a high price."

More IBM Cognos pricing and cost advice

"We pay on a monthly basis and it is $10 per user each month."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"I would rate it a five out of five in terms of the value received for the price charge."

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"It is an expensive platform."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

More Oracle Analytics Cloud pricing and cost advice

"The price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."

"It is a bit expensive, but really worth it, especially if you are already using other SAP tools."

"The premium option is very expensive at five thousand dollars. I use the nine hundred and ninety-nine dollar option."

"The pricing of this product is reasonable."

"This solution is pricey."

"SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower."

"Compute and storage features should be sold separately."

"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."

More SAP Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

56%

Financial Services Firm

Computer Software Company

Government

Educational Organization

36%

Financial Services Firm

Computer Software Company

Government

Educational Organization

24%

Manufacturing Company

13%

Computer Software Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...

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What do you like most about IBM Cognos?

The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools.

See all answers

What needs improvement with IBM Cognos?

I need improvements, particularly with the Framework Manager, which has an outdated user interface from older version...

See all answers

Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to ass...

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What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

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What is your experience regarding pricing and costs for Oracle Analytics Cloud?

The solution is highly cost-effective and easy to customize. The pricing is quite reasonable if the long-term benefit...

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Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use....

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What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even ...

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What is your experience regarding pricing and costs for SAP Analytics Cloud?

The pricing model for SAP Analytics Cloud is quite competitive, but the cost for the planning functionality is high a...

See all answers

Comparisons

Microsoft Power BI vs IBM Cognos

Compared 13% of the time

Tableau vs IBM Cognos

Compared 10% of the time

Oracle Hyperion vs IBM Cognos

Compared 10% of the time

Amazon QuickSight vs IBM Cognos

Compared 8% of the time

Qlik Sense vs IBM Cognos

Compared 5% of the time

More IBM Cognos Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 21% of the time

Databricks vs Oracle Analytics Cloud

Compared 15% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 14% of the time

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 12% of the time

Workday Prism Analytics vs Oracle Analytics Cloud

Compared 2% of the time

More Oracle Analytics Cloud Competitors

SAP BusinessObjects Business Intelligence Platform vs SAP Analytics Cloud

Compared 19% of the time

Tableau vs SAP Analytics Cloud

Compared 17% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 11% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 10% of the time

SAP Analytics Hub vs SAP Analytics Cloud

Compared 2% of the time

More SAP Analytics Cloud Competitors

Product Reports

Buyer's Guide

IBM Cognos

November 2024

Download IBM Cognos product report

Buyer's Guide

Oracle Analytics Cloud

November 2024

Download Oracle Analytics Cloud product report

Buyer's Guide

SAP Analytics Cloud

October 2024

Download SAP Analytics Cloud product report

Also Known As

Cognos, Cognos Analytics, IBM Cognos Analytics

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

SAP BusinessObjects Cloud

Learn More

IBM

Oracle

SAP

Overview

IBM Cognos Business Intelligence provides a wide range of tools to help you analyze your organization's data. IBM Cognos BI allows businesses to monitor events and metrics, create and view business reports, and analyze data to help them make effective business decisions.

IBM Cognos applies techniques to describe, summarize, and compare data, and draw conclusions. This allows users to see trends and discover anomalies or variances that may not be evident by simply reading data. Data sources that contain information from different areas of a business can be stored in separate packages. Users can see only information that they have been granted access to, based on their group or role.

IBM Cognos BI consolidates the following business intelligence functions into a single web-based solution:

IBM Cognos Insight: Create personal and managed workspaces for data analysis. Using these interactive workspaces, you can share insight results with managers. Cognos Insight supports write-back, and you can also use these workspaces to capture and integrate management goals, commitments, and forecasts.
IBM Cognos Workspace: With IBM Cognos Workspace, you can create rich, interactive workspaces using IBM Cognos content as well as data from external sources. You can view and open your favorite workspaces and reports, edit content in your workspaces, and share your workspaces via email.
IBM Cognos Analytics: IBM Cognos Analytics utilizes built-in AI and intuitive searches which helps users to quickly create the visualizations and a wide range of reports. Cognos Analytics provides cognitive and managed self-service, enabling you to gain insights from controlled and trusted data.
IBM Cognos Report Studio and IBM Cognos Query Studio: Easily create structured and query reports. IBM Cognos allows users to create application and report templates. In addition, report authors can reuse report objects to apply filters, fields, and styles to reports. Users can set the language of the user interface and report content according to the user's native language.
IBM Cognos Event Studio: Receive notifications of events that occur within your organization in real time. Event Studio enables the creation of agents that detect the occurrence of business events, failures, or anomalies, based on the change of specific events or data conditions. Notification can be sent via email, publication in the portal, or by triggering reports.
IBM Cognos Connection: This is the Web portal for IBM Cognos BI and is the central area for accessing all the IBM Cognos functions. In the web portal, users can schedule and distribute reports, create tasks, administer the server and the access permissions, and more.

Reviews from Real Users

IBM Cognos stands out among its competitors for a number of reasons. Two major ones are its powerful analysis tool and its reporting capabilities.

Prasad B., a senior software engineer at a financial services firm, notes, “The product is a very good reporting tool and is very flexible. It allows for the users to get a scheduled report. We can receive automated reports as well. They are easy to schedule on a weekly or monthly basis. It is very fast. I mean in means of report output, it's very fast compared to the actual clients involved.”

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

SAP Analytics Cloud Capabilities

Data discovery
Machine learning
Integrated financial and business planning
Predictive analysis
Automated data cleansing
Custom widgets
Mobile extension
Role-based customization
Data exploration and visualization

SAP Analytics Cloud Key Features

Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.

Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

SAP Analytics Cloud Benefits

Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.
Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.
Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.
Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.
In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

Reviews from Real Users

Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

Sample Customers

More than 23,000 leading organizations across multiple industries use Cognos. Some examples of Cognos customers include BMW Financial Services, Quinte Health Care, Troy Corporation, Michigan State University, and GKN Land System.

Sejong Hospital

Live Oak Bank

Buyer's Guide

Oracle Analytics Cloud vs. SAP Analytics Cloud

October 2024

Free Report: Oracle Analytics Cloud vs. SAP Analytics Cloud

Find out what your peers are saying about Oracle Analytics Cloud vs. SAP Analytics Cloud and other solutions. Updated: October 2024.

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