Coremetrics / IBM Digital Analytics (discontinued)
Score9.1 out of 10
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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.
Predictive Pipeline kept track of every change in the sales pipeline and predicts quota attainment boasting 80% accuracy, with Neuralytics, the XANT predictive engine. The product was based on C9 Predictive Sales, owned and supported by XANT (formerly InsideSales.com) since May 2015, and no longer available for sale.
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Pricing
Coremetrics / IBM Digital Analytics (discontinued)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
C9 is a good and economical solution for what it does. If evaluating them today, I would want to clearly understand their product roadmap and their ability to execute against it.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It gives you the ability to see where your pipeline was in the past and compare to how it is now. You can set queries that will allow you to show at risk deals, committed deals, etc.
This gives much better visibility for management to coach.
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.
We had uptime issues, weird error messages, sluggish performance, and bad data. I hope that some of this can be attributed to growing pains as the company was relatively new when we signed our initial contract.
It was not dependable enough to trust the data and to count on accessing the app when we needed it.
It actually was unavailable at EOQ one time.
I also did not care for the lack of real-time pipeline information. If someone was doing a pipeline review, there was no instant gratification i.e. to see changes in pipeline occur as an AE made a change to an opportunity.
You couldn’t do any configuration at all. Even if you just wanted to change a field or add a filter, you had to go through their services team. It was a recognized challenge and I saw roadmap addressing it.
The query tool is a little hard to use and we have found that queries are very slow and lock up.
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
C9 is now part of the sales management culture here at IPC. There is no longer any guesswork about the funnel or the forecast. C9 does something that SFDC does not...it increases significantly the value of the information in SFDC by unlocking the meta data that we all need to run the business
From a sales manager’s perspective it was fairly easy to use the base functionality (just viewing current pipeline) and much harder to look at analytics (pipeline changes over time). C9 made this easier by allowing sales ops to publish views to sales managers. The query tool was harder to use than it had to be. For example, there were no out of the box relationships set up between Salesforce.com tables (e.g. accounts to opportunities), so I had to create those relationships myself.
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.
C9 cares about their customers and responds quickly. However, the ticketing system could be better and there is no easy way to track the status of your requests.
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.
Very simple implementation. They basically set up the imports and then they configure the tool per customer requests.
I wish there had been more consultation during the implementation, but it wasn’t bad given the effort expended. We ended up re-implementing after about a year and a half.
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.
Zoho CRM is less up to speed and much more out of date. The support at InsideSales.com Predictive Pipeline have been very helpful during the initial roll out face. Overall I was very happy!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The product provides a single source for pipeline and forecast data and has scaled well with our organization. We have grown from 10 sales reps to 100 reps and we really needed a tool to to manage data and do roll-ups etc.
It's also important to provide senior management visibility into the pipeline, and the tool works well for this.