SAP IT Operations Analytics provides comprehensive insights into IT landscapes, offering real-time analytics and operational intelligence to businesses seeking effective IT operations management.

| Product | Mindshare (%) |
|---|---|
| SAP IT Operations Analytics | 2.3% |
| Splunk Enterprise Security | 13.4% |
| Splunk AppDynamics | 10.1% |
| Other | 74.2% |
It leverages business context and predictive analytics to optimize IT performance. Users gain visibility into IT environments, ensuring improved efficiency, forecasting, and planning. By integrating data from multiple sources, it offers a holistic view aiding quick decision-making. It empowers IT personnel to preempt and resolve issues, maintaining seamless operations across enterprises.
What are the key features of SAP IT Operations Analytics?SAP IT Operations Analytics finds application in industries like finance and healthcare, where robust IT operations are crucial. In finance, it assists in managing complex IT infrastructures, ensuring continuity and compliance. Healthcare institutions leverage it to maintain high-performance systems that support patient care and data security.
| Author info | Rating | Review Summary |
|---|---|---|
| Digital Transformation Director at Amecath Group | 4.5 | I've been using SAP IT Operations Analytics for over 15 years to manage operations, offering valuable predictive capabilities. However, it needs more flexibility in customization and ease of use. Despite considering alternatives, SAP remains our preferred corporate solution. |
| Managing Director at Emkan | 4.5 | SAP IT Operations Analytics is valuable for design, development, and operations, integrating environments and tracking configurations from development to production. Improvements are needed in project planning and integration. It provides visibility into cloud performance and organizes documentation. |
| Senior Director Of Information Technology at a non-tech company with 10,001+ employees | 3.5 | I use Operations Analytics to proactively identify SAP bottlenecks and resource needs. While its statistics and alerts are valuable, I'm looking for more intelligent automation to directly guide technicians and reduce manual intervention. |

The tool is valuable for two reasons: design and development and regular operations. If you're using any SAP product, you can access this platform for free. It tracks the lifecycle of SAP products from inception to end-of-life.
We can integrate different environments, including development, quality, and production. You can open implementation projects, define users' roles, manage training, design, and store all project-related documentation. Before going live, there's a checklist and cutover plan. Configuration moves from development to quality, then production, to ensure everything runs smoothly. Once in production, the platform tracks system performance, open cases, maintenance, upgrades, and new features. You can monitor everything through dashboards, reports, event notifications, and support tickets, both internally and with SAP.
The most valuable feature for me is the tracking of configurations from development to production. It helps ensure everything is in place and makes it easy to see any changes made along the way. Additionally, having visibility into cloud system performance and capacity is crucial. It allows us to monitor usage and ensure everything is running smoothly. Another important aspect is the documentation and versioning of changes, which helps keep everything organized and easy to track.
The solution works well, but we need better project planning. Accessing some features is a bit complicated, and we're waiting for improvements from SAP. It should also improve integration.
The solution was introduced two years back and we have been using it for a year.
The solution is stable.
The product is scalable. My company has four to five customers.
The tool's technical support is fast.
Setting up the system is pretty straightforward. It's not too complicated, but some changes are being tested, especially regarding integration with SAP products. This part might require more information and be a bit complex, especially if you're unfamiliar with SAP products.
To implement this solution, customers can purchase the standard packages and then do some minor configurations to connect their systems. Alternatively, they can build their operations using the platform's features requiring technical expertise. The pricing is based on the chosen package, and users can configure authentication methods.
The license for the product ranges from 8,000 to 30,000 yearly, depending on the customer's sizing. While it may not be cheap, it is considered affordable for the value it provides.
I rate the overall product a nine out of ten.
We use Operations Analytics for performance. I work with SAP analysts using their analytics tool to evaluate or identify potential areas of the infrastructure that need to be upgraded. Usually, we need extra space or RAM because we're dealing with the cloud. We're in a hybrid cloud situation, so I have physical servers that need resources, plus we're moving company stuff to AWS, GCP, and others. But we also have to tune that virtual infrastructure, which must be adjusted and optimized. So, that's how the analytics tools are used in my world. We identify bottlenecks where things aren't flowing in the SAP system. It lets you see more threads being utilized by a database. Operations Analytics helps you detect the forensic signal that tells you something's going to happen. You can use it to get proactive before an outage occurs. So we're starting to use analytics to look at things. We can add memory or add space or a disk before it becomes a problem in the environment for the application.
Operations Analytics provides statistics, so it's like the dashboard in your car that tells you the temperature, RPMs, etc, and if something goes wrong in your car, a warning light comes on. So in analytics, you set thresholds for the thread count, and it sends you an email when it reaches a certain amount. Operations Analytics also has data on metrics like CPU and memory utilization. And the next step in analytics technology will be AI, where software takes action and tunes the cloud. So that's where the research is headed.
The next step for Operations Analytics is the ability to take the data and make intelligent decisions with the software. For example, you could automate the software with statements like: "If the thread count's high and RAM utilization is low, then report this." It would be great to have a monitoring tool that could implement conditional solutions like this. Right now, it comes up with the indicators, but it doesn't necessarily send the lower-level technician to the right spot. The engineer and the database SME have to notice it, then those two come together and tell the low-level engineer what to do. The next step is to remove the middle man and get the notification right to the technician so that you can correct the situation right away. You've also saved staffing costs by using one person instead of three. So there are all kinds of efficiencies that come out of that.
I've been doing infrastructure for about 30 years. I have certifications in Checkpoint, Cisco, and Windows, and experience working with SAP systems and JD Edwards. So I have quite a diverse background, from financials to manufacturing, but the financial sector is where I started. That's where I learned about best practices and rigid restrictions. I started as a hands-on person and worked my way up to VP of eCommerce for a national banking firm.
Operations Analytics is scalable, but it depends on the amount of money you have and how much development you're willing to go through. So You get a specific set of tools out-of-the-box, like buying a toolkit at Home Depot. You start with a basic set of tools, and then you occasionally buy a new one. I do not know the specifics on the cost of the licenses, but it's big money. Of course, it depends on how many platforms you're looking at. It's all a sliding scale.
It's not complicated to set up Operations Analytics. The cool thing is the stuff that I'm working with is out-of-the-box. Most of those indicators are easy to get through the tool, so it's not a custom setup situation. Customization only comes into the picture when you have custom code. Then you have to set up custom analytics to read those. So it's easy to set up the dashboards for the most part. But even the base dashboard can give you a wealth of information to work with.
I rate Operations Analytics seven out of 10. There's always room for improvement.