Coremetrics / IBM Digital Analytics (discontinued)
Score 8.2 out of 10
N/A
Based on the former Coremetrics, IBM Digital Analytics is a discontinued analytics product. IBM acquired Coremetrics in 2010, and re-branded the platform to the IBM Digital Marketing Optimization Solution. Product support was ultimately provided by Acoustic, but the product is not a part of the company's plans going forward.
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Tealium Customer Data Hub
Score 8.7 out of 10
Enterprise companies (1,001+ employees)
The Tealium Customer Data Hub powers capabilities across the data supply chain. Tealium universally collects customer data from any source including; websites, mobile applications, devices, kiosks, servers, and files. Data collected is then standardized in the data layer, which drives usage of data for customer engagement and analysis.
N/A
Pricing
Coremetrics / IBM Digital Analytics (discontinued)
Tealium Customer Data Hub
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Coremetrics / IBM Digital Analytics (discontinued)
Coremetrics / IBM Digital Analytics (discontinued)
Tealium Customer Data Hub
Considered Both Products
Coremetrics / IBM Digital Analytics (discontinued)
Verified User
Manager
Chose Coremetrics / IBM Digital Analytics (discontinued)
Compared to Adobe: I think Adobe Analytics and IBM DA are very close in terms of functionalities. IBM makes the difference when it comes to the marketing attribution model. Also, the pre-integrated solutions such as LIVEmail or IBM Recommendations are very easy to use and allow …
Coremetrics / IBM Digital Analytics (discontinued)
Tealium Customer Data Hub
Likelihood to Recommend
Discontinued Products
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.
Tealium Customer Data Hub is great for situations where you want to collect data from a front end data layer and then route it to multiple data tools, or if you need the ability to transform the values collected before sending. There is a tremendous amount of customizability. It has also been good for tag management of marketing/advertising tags/pixels, but could use a little improvement with regards to putting many tags on the same page. If your situation requires a lot of complexity to the marketing tags, it is still very possible to do with Tealium Customer Data Hub, but could be less complicated. Luckily, Tealium Customer Data Hub's support crew is excellent and really will partner with us and help us succeed.
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.
Simple tag management that is tough to beat. So many solutions that are incredibly simple to setup and gather data for.
Security around the data is key and Tealium excels in this area.
The speed impact of the tag setup is key to optimizing and allowing our web properties to run more effectively, which is a better experience for the end user.
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.
Tealium Customer Data Hub is powerful, but it has a significant learning curve. Users with JavaScript experience, developers (with a solid understanding of browser Dev Tools), and technical minded people will learn it more quickly.
Some of the documentation seems lacking. My biggest complaint is that the documentation may explain things, but often is missing clear examples. If I had some clear examples, I could possibly avoid opening tickets for tech support.
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
Tealium continues to impress us with their focus on innovation and continuous improvement. Their support team makes use feel as though we are their one and only client. They exceed our expectations from both a product and people perspective, so we have no reason to look elsewhere!
Tealium iQ Tag Management System does exactly what it is intended for, it manages vendortags. Changes can be made to websites and apps in minutes. The frontend is well structured, updates are easy to carry out, and Tealium support is available at all times.
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.
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.
Support team has always been great at addressing issues or questions, by providing answer or escalating it internally to the right individual. reply response time has been always reasonable. Some responses are responded with documentation doc but in some instances the question require a non-generic answer that can create a back-and-forth conversation.
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.
Implementation had some bumps in the road and it was new for all of us, but for the most part, it was easier than many other implementations we've done with other technologies.
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.
Tealium Customer Data Hub can use 1P IDs and that is the main reason we selected it. with hindsight it was a good choice in this respect Tealium Customer Data Hub can process and forward event data via api, which AAM cannot AAM connectors can be set up with a few clicks whereas Tealium Customer Data Hub connectors require support from an engineer aam machine learning tools infer a score after every event so can be used for onsite single session use cases, whereas Tealium Customer Data Hub ML infers at end of session, so is only really useful for paid media / retargeting use cases Tealium Customer Data Hub's visitor stitching approach is broad brush and irreversible; AAM allows you to merge customer profiles at your discretion depending on the use case
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.
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.
There has been a near immeasurable return on customer data and improvement of our quality for our physical products due to be in tune with the customer. This has changed our way of doing things for the better to gain a better flow and overall workplace experience.
A negative is that Tealium AudienceStream becomes harder to manuever and use data analytics for when a database has been existing for a fairly large amount of time. It goes from an agile ship to a huge vessel that takes many components to be able to move.
