Coremetrics / IBM Digital Analytics (discontinued) vs. Open Web Analytics

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.

Incentivized

Open Web Analytics is an opportunity for those that like to have skeletons for the start of customized solutions. The package offers several best practices set of features and functions. The possibilities add up to higher performance API for example from Google Analytics. The vast of additional features are of higher value because the market does not have other solutions. There are solutions around Open Web Analytics for example in SAP Design Studio that integrate beyond Content Management systems and attached Shops Systems to Warehousing, Logistics, and Deliverment Management. The market situation are covering all that is possible and has demand. The universality is implemented at the user interface and therefore unmatched and even robust for new kinds of visualization interfaces or input device types. A draw is that against payment system remains a security gap and data security and data safety might be a topic for each customer and user.

Incentivized

• 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.

Incentivized

• High performance track and state-of-the-art analyze the human use of website pages and apps.
• Combines conventional Google Analytics-like-tracking with heatmap-like-tracking features.
• Offers JavaScript and PHP based APIs for web analytics page integration of versatile tracking features.
• Supports best practices established for content management frameworks based on WordPress or MediaWiki.

Incentivized

• 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.

• Open Web Analytics can be available for integration for the broad mass in all PHP- and Javascript-based Content Management Frameworks.
• A shop for custom add-ons of the platform Open Web Analytics may be a big chance.
• Enhance in documentation, examples, best practices are a great chance to get more users active and a broader audience.
• Offer a closer integration to the leading tool Google Analytics in so many features and functions. Learn from Matomy for example.

Incentivized

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.

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.

Google Analytics is the market leader for web analytics. The package offers search engine marketing that can be integrated into Open Web Analytics. The features and functions of Open Web Analytics compare close to Matomo Analytics. In terms of market share Google Analytics has all and the other two have very little and their other competitors have almost nothing. That changes in specialized markets. Google Analytics is everywhere and much more influential than other search engines because of that particular service. There had been a dying period for such web analytics software packages. There are three kinds of web analytics software packages. Free/open source like Open Web Analytics and Matomo, Proprietary like Urchin from Google, and hosted/software-as-a-service-packages like the market leader Google Analytics. I consider all as rather different in performance. Those closer to the busiest server are the best for traffic. Heat maps are well placed on the hosting server.

Incentivized

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.

Incentivized

• Moderate lifetime operating costs.
• Enhances the performances of all online business interests enormously.
• Enables a great customized experience of web analytics.
• Compatible to web analytics standards and references.

Incentivized