comScore Digital Analytix (discontinued) vs. Coremetrics / IBM Digital Analytics (discontinued)

DAx has the features, very advanced features (mentioned later) that a power user needs, and is highly customizable, but doesn't require software or hardware ownership. For those capabilities that are not currently there, the customer reporting team often finds a workable solution that we can present to our client.
For the more basic users and executives, the dashboard often meets their needs; else the report tab can help with quick access to metrics that have already been built by analysts.
Lastly, the level of complex analysis in the tool still impresses. You can analyze web events at the event level, visit level and visitor level. You can apply filters at the report level (for all three - event, visit and visitor) or metric level (again for all three levels). On top of that, they have a concept of scope and rules which, combined with the 3 levels, can really allow a power analyst to ask just about any question and get an answer.

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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• DAx has a really flexible user interface and if implemented correctly has the potential for great reporting.
• StreamSense is an excellent video counting add on for DAx. Gets very granular data.
• The virtual sites concept really makes segmenting data very efficient and logical.

• 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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• While I know they are making strides in this area, Digital Analytix is definitely built with power users in mind. The learning curve can be steep.
• Because the platform is non-restrictive in terms of label/variable naming, power users need to have intimate knowledge of their schema in order to build reports on their custom variables.

• 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.

My company does not utilize Digital Analytix for our own service, we simply provide professional services for it. As such, I can't really answer this question in a meaningful way.

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

Very easy to implement and use.

Never had any issues

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.

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.

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

I have proficiency with Google, Adobe and IBM (formerly Unica's) enterprise offerings. For companies primarily interested in basic reporting, managing a lot of users with very similar needs, and who don't necessarily have the in-house manpower or expertise to build a lot of reporting from scratch Google and Adobe's offerings can typically be safer choices. comScore and Unica offer a more advanced, analyst friendly tool that can be essential for targeted marketing and for a more flexible implementation and can still do all the things that their competitors can do - if you're satisfied with the learning curve for basic users, the advanced capabilities of comScore make this a very worthwhile tool for a digital business.

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.

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.

• I have confidence that current and future content will be captured accurately.

• 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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