Coremetrics / IBM Digital Analytics (discontinued) vs. IBM Cloudability

IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.

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I don't have much exposure to the tool. I mean, I'm relatively new to using it as a platform, but I haven't really seen the benefit, especially with the actual renewal talks at the company. I'm not seeing what AWS native solutions are, how probability improves on that as opposed to just using AWS and just, I don't know. I'm not seeing the benefit, at least in my eyes.

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• IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
• The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
• The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
• The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.

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• We are able to integrate multiple sources of data to have a comprehensive view of our spend.
• We are able to get more detailed insights via container dashboard for kubernetes spend
• A unified platform to manage overall cloud spend along with related FinOps spend

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• The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
• Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
• Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
• Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
• Built in API calls allows for nice report design and automation.

• For me, it is a lot of anomaly detection and I think there's a lot of improvement that can be made to show anomalies that happen over time because if it's just day to day or week to week, you may not see the change. But if you see the trend over a period of time, show me something that has grown 40%, 50% over the past three months and maybe you can do those things and we just haven't figured them out yet. So we are very new to the product, but I think anomaly detection for me is one of the bigger things.

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IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements

Cloudability has been one solution for almost all of our FinOps needs. Except for Data transfer costs, we have covered all use cases and have made significant savings across our cloud infrastructure. Reporting has provided management a deeper analysis into their spending and helped them forecast their budgets for next year

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Very easy to implement and use.

I gave the IBM Cloudability a 7/10 because it is good, but it could improve in some places. It is easy to get data uploaded and ready to view, but it is only up to a certain point in time, and not live data. As for how it looks, the interface is good for viewing, however navigation could be a little better, maybe supported with a roadmap.

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Never had any issues

Only been 1 or 2 occaisions when not available, in 3 years

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As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.

Afternoons tend to be a little slower, due to US traffic I assume

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Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.

While there have been few support cases where the experience was good. But in multiple support cases it's firstly delayed and even after weeks or months of time, team is not able to provide us with the RCA of the issue. All they are claiming is the issue is now fixed which I still see coming back after few days or weeks as we've never identified and addressed the root cause.

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Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.

Training was adequate, but the real learning begins when you start using the product, like most things. All major functions were covered so as an entry point, was a good introduction to the product. The training pace was good as well, the areas were covered in decent depth, without being too much of an information overload.

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See previous comment: reading and understanding the encyclopedic implementation guide is a must.

Within months

Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.

Before Apptio we extensively used the cloud native and in house automated and developed cost optimization tool using python , powershell and leveraging the various cloud native services like AWS systems manager , Azure Functions and Azure automation run books.

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I wasn't personally involved, but all dealings with Apptio have been easy

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This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.

Works as designed

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• We spend too much time trying to work around bugs on the new UI.
• We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
• Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.

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• Apptio Cloudability has enabled us to charge back 100% of our cloud spend to our business users and on an automated basis through the use of ApptioOne
• Apptio Cloudability's transparency and metrics have enabled us to save millions of dollars in cloud spend across our user base.

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