We changed our name from IT Central Station: Here's why

SAP IT Operations Analytics OverviewUNIXBusinessApplication

What is SAP IT Operations Analytics?
SAP IT Operations Analytics gives you holistic visibility into your entire hardware and appli-cation landscape by aggregating data sources within one layer. Network topology, system log data, and external message catalogs can now be combined to provide one comprehen-sive view of the network. This helps your IT department detect incidents more quickly. SAP IT Operations Analytics integrates data sources from different layers so logs from multiple layers can be combined into one consistent, simplified data model. The sources of data can include services, applica-tions, operating systems, or even end-user devices at the top. They can go so deep as to include data from servers, the network, or storage – including sensors – in the data center, making the IT department can now correlate data patterns from multiple streams with extreme efficiency to find root causes to problems.
Buyer's Guide

Download the IT Operations Analytics Buyer's Guide including reviews and more. Updated: January 2022

SAP IT Operations Analytics Customers
Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone
SAP IT Operations Analytics Video

SAP IT Operations Analytics Reviews

Filter by:
Filter Reviews
Industry
Loading...
Filter Unavailable
Company Size
Loading...
Filter Unavailable
Job Level
Loading...
Filter Unavailable
Rating
Loading...
Filter Unavailable
Considered
Loading...
Filter Unavailable
Order by:
Loading...
  • Date
  • Highest Rating
  • Lowest Rating
  • Review Length
Search:
Showingreviews based on the current filters. Reset all filters
Senior Director Of Information Technology at a non-tech company with 10,001+ employees
Real User
Helpful tool for evaluating infrastructure, but it could add more automation
Pros and Cons
  • "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."
  • "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."

What is our primary use case?

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.

What is most valuable?

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. 

What needs improvement?

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.

For how long have I used the solution?

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.

What do I think about the stability of the solution?

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.

How was the initial setup?

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.

What other advice do I have?

I rate Operations Analytics seven out of 10. There's always room for improvement.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Flag as inappropriate
Product Categories
IT Operations Analytics
Buyer's Guide
Download our free IT Operations Analytics Report and find out what your peers are saying about SAP, Splunk, Moogsoft, and more!