Oracle Siebel Enterprise Marketing Suite (discontinued) vs. Quantrix

If you need a hosted rather than cloud based CRM, Siebel is a consideration. It's best suited to organizations with a large customer database. Given the complexity involved you need at least two full time marketing analysts.The email marketing functionality isn't core to the offering and most organizations would be much better served by cloud based email systems. Siebel offers a very comprehensive feature set and is powerful in the hands of a super user. However, given the costs involved in upgrading a hosted solution I would put serious effort into convincing your decision makers to go for a cloud based CRM instead.

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If you find yourself in the ocean of traditional spreadsheets, overwhelmed by broken links, errors, model audit problems, hardwiring, etc. here is a lifebuoy for you. If you want to have full flexibility in your budgeting and forecasting in contrast to ERPs with rigid structures and one-size-fits-all concept. If you are small or medium size company and do not want to invest in costly enterprise solutions. If you need a fast implementation https://youtu.be/5W_q5Xhw5fg

• Siebel EMS offered useful customer insight and more effective dialogue with recipients by delivering the right message to the right customer at the right time.
• Siebel EMS was very effective for loyalty lifecycle and retention by seamlessly integrating with marketing and CRM platforms.
• Siebel EMS was instrumental in aligning marketing, sales and analytics divisions.

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• Building complex financial planning model availing of a multidimensional data structure coupled with a powerful formula language, with the immediacy and intuitiveness typical of spreadsheets
• Implement quickly model modifications (new products, new scenarios, new time periods) simply adding new "items" to "categories" (corresponding to dimensions in a multidimensional data model)
• Scale up models to very large datasets with very fast computation times
• Easily import data from text files, other Quantrix models and external databases via DataLink and DataNAV
• Save snapshots of tables computed in Quantrix to external databases via DataPush

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• Oracle Siebel Marketing Suite's processing time is not as fast as I would expect it to be. This is the major improvement I would like to see in it.
• It requires a very high level of training being given to the employees for configuring and implementing it in the business needs.
• Expert employees are needed in order to understand the functionality of Oracle Siebel Enterprise Marketing Suite, which is not easy to find.

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• Hard to be critical of the Quantrix team as I know they strive to produce the best product possible. I suppose the next thing on my wish list would be the application of the new Solver functionality to be available in the Qloud.
• A big help for new users would be a good book on transitioning from Excel or other environment into Quantrix. I know first hand it can be difficult to transition when having to learn the program through a help guide, forums and tech support. I had a lot of trial and error in my journey to producing the desired models. On one hand it was a valuable method as it taught me a lot of what not to do, but I will admit it was not the most efficient way to do things.
• Would also love to see local user groups being formed at some point in the future. Quantrix puts on a fantastic conference once a year in beautiful Maine, but it is a big journey for someone in Southern California (and limited to one or two days a year). I would like to see some local chapters formed in different areas of the country so local Quantrix users can get together more often and collaborate (maybe a quarterly or semi-annual meetup?). Our Quantrix community is still relatively small and may be a difficult task for some areas, but is also the very reason why this would be great idea.

A very conservative data security policy limits the organization to a hosted solution. At particular issue is the tendency of cloud based CRMs to have data centres based in the US, a major issue for Canadian consumers. Once you have integrated a system of this size and complexity, and have the staff resources to utilize it effectively, it's hard to justify a move to an alternative. Consider Siebel if you are a conservatively run organization with a large database of customers and a big marketing team

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For a newbie it can be difficult until you get the hang of the system. Quantrix is a very logical system, once you understand its underlying ideas.

Salesforce is easier to use and more open source and available for external integrations.

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Overall, I was not part of the ultimate decision to purchase Quantrix. I terms of user-friendliess and robust reporting capabilities I do think Tableau has Quantrix outclassed. That being said, Quantrix does provide more in-depth analyses for our relevant data and provides better modeling for our forecasts out of the box. The accuracy of the tools output is also much better

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• It has increased the business tactics as we have added more clients who wish to use this technology.

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• Capacity forecasting used to take hours to calculate with a ton of manual modifications. Quantrix has automated that so a model can be updated at any time with a click of a button
• The accuracy of the models is incredible. It took some tweaking to add in data scubbers, but now it runs almost flawlessly
• The confidence the management teams have in the output of the model is amazing. Before, people would question the output, have you rebuild it, and then compare. Now the report comes out and the output has high confidence.

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